This document is a study guide for the theory of interest that covers topics such as simple interest, compound interest, present value, effective rates of interest and discount, nominal rates, forces of interest, varying interest rates, annuities, yield rates, amortization, bonds, and practical applications of interest theory. It provides an overview and outlines the key concepts discussed in each of the 9 chapters.
Beamer merupakan salah media presentasi yang terkenal di LaTeX yang memiliki kemudahan dalam mentrasnfer dokumen LaTeX secara langsung. Selain itu , juga tersedia powerdot, pdfscreen ,simpleslides, dan lain sebagainya yang dapat digunakan presentasi di LaTeX.
Chap04 discrete random variables and probability distributionJudianto Nugroho
This document provides an overview of key concepts in chapter 4 of the textbook "Statistics for Business and Economics". The chapter goals are to understand mean, standard deviation, and probability distributions for discrete random variables, including the binomial, hypergeometric, and Poisson distributions. It introduces discrete random variables and probability distributions, and defines important properties like expected value, variance, and cumulative probability functions. It also covers the Bernoulli distribution as well as the characteristics and applications of the binomial distribution.
History behind the
development of the concept
In 1654, a gambler Chevalier De Metre approached the well known Mathematician Blaise Pascal for certain dice problem. Pascal became interested in these problems and discussed it further with Pierre de Fermat. Both of them solved these problems independently. Since then this concept gained limelight.
Basic Things About The Concept
Probability is used to quantify an attitude of mind towards some uncertain proposition.
The higher the probability of an event, the more certain we are that the event will occur.
The document discusses simple and compound interest. It defines both types of interest and provides formulas to calculate future value under each. An example is shown where a learner named Steve invests R300 at 10% interest annually under simple and compound interest over 3 years. Compound interest provides a higher return due to interest earning interest each period. The document encourages choosing investments that use compound versus simple interest.
Nhận viết luận văn đại học, thạc sĩ trọn gói, chất lượng, LH ZALO=>0909232620
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Download luận văn thạc sĩ với đề tài: Tăng cường Quản lý rủi ro trong hoạt động kinh doanh của các Công ty cổ phần chứng khoán ở Việt Nam, cho các bạn tham khảo
This document provides an overview of basic probability theory concepts including probability, mutually exclusive events, and independence. It discusses probability as a measure of likelihood between 0 and 1. Key concepts covered include interpretations of probability, the mathematical treatment including independent, conditional, and summary probabilities, and applications in areas like reliability and natural language processing. Mutually exclusive events are defined as events that cannot occur simultaneously, while independent events have probabilities that are unaffected by each other.
Beamer merupakan salah media presentasi yang terkenal di LaTeX yang memiliki kemudahan dalam mentrasnfer dokumen LaTeX secara langsung. Selain itu , juga tersedia powerdot, pdfscreen ,simpleslides, dan lain sebagainya yang dapat digunakan presentasi di LaTeX.
Chap04 discrete random variables and probability distributionJudianto Nugroho
This document provides an overview of key concepts in chapter 4 of the textbook "Statistics for Business and Economics". The chapter goals are to understand mean, standard deviation, and probability distributions for discrete random variables, including the binomial, hypergeometric, and Poisson distributions. It introduces discrete random variables and probability distributions, and defines important properties like expected value, variance, and cumulative probability functions. It also covers the Bernoulli distribution as well as the characteristics and applications of the binomial distribution.
History behind the
development of the concept
In 1654, a gambler Chevalier De Metre approached the well known Mathematician Blaise Pascal for certain dice problem. Pascal became interested in these problems and discussed it further with Pierre de Fermat. Both of them solved these problems independently. Since then this concept gained limelight.
Basic Things About The Concept
Probability is used to quantify an attitude of mind towards some uncertain proposition.
The higher the probability of an event, the more certain we are that the event will occur.
The document discusses simple and compound interest. It defines both types of interest and provides formulas to calculate future value under each. An example is shown where a learner named Steve invests R300 at 10% interest annually under simple and compound interest over 3 years. Compound interest provides a higher return due to interest earning interest each period. The document encourages choosing investments that use compound versus simple interest.
Nhận viết luận văn đại học, thạc sĩ trọn gói, chất lượng, LH ZALO=>0909232620
Tham khảo dịch vụ, bảng giá tại: https://vietbaitotnghiep.com/dich-vu-viet-thue-luan-van
Download luận văn thạc sĩ với đề tài: Tăng cường Quản lý rủi ro trong hoạt động kinh doanh của các Công ty cổ phần chứng khoán ở Việt Nam, cho các bạn tham khảo
This document provides an overview of basic probability theory concepts including probability, mutually exclusive events, and independence. It discusses probability as a measure of likelihood between 0 and 1. Key concepts covered include interpretations of probability, the mathematical treatment including independent, conditional, and summary probabilities, and applications in areas like reliability and natural language processing. Mutually exclusive events are defined as events that cannot occur simultaneously, while independent events have probabilities that are unaffected by each other.
The document describes the Prosonic S FMU90 transmitter, which uses ultrasonic sensors for level or flow measurement of fluids, pastes, sludge, and bulk materials. It operates by transmitting ultrasonic pulses and measuring the time of flight between transmission and reception to calculate the distance to the material surface. Key features include measurement ranges up to 70m, level detection using up to 6 relays, pump control functions, totalizers, data logging, HART and PROFIBUS communication, and housing options for field or DIN rail mounting.
Manual Prático de Operações Fiscais e Contábeis (ICMS, IPI, ISS, PIS, COFINS)...IOB News
1) O documento apresenta os aspectos gerais do ICMS, IPI, ISS, PIS e Cofins.
2) É abordado o fato gerador, local da operação, base de cálculo, crédito fiscal, alíquotas e outros assuntos relacionados a esses tributos.
3) O documento também discute temas como armazém geral, amostra grátis e bens salvados de sinistro no âmbito dos tributos apresentados.
Introduction to Probability and Probability DistributionsJezhabeth Villegas
This document provides an overview of teaching basic probability and probability distributions to tertiary level teachers. It introduces key concepts such as random experiments, sample spaces, events, assigning probabilities, conditional probability, independent events, and random variables. Examples are provided for each concept to illustrate the definitions and computations. The goal is to explain the necessary probability foundations for teachers to understand sampling distributions and assessing the reliability of statistical estimates from samples.
This document provides information about discrete uniform distributions. It defines a uniform distribution as one where all probabilities are the same. It gives an example of a 4-sided spinner where the probability of landing on any side is 1/4. The mean, median, mode, and variance of uniform distributions are discussed. For a uniform distribution, the mean is the average of the possible values, the median is the same as the mean, and there is no single mode since all outcomes are equally likely. Variance measures how spread out the possible values are from the average.
This document provides an introduction to probability theory, including key concepts such as:
- The foundational definitions of probability put forth by Pascal and Fermat.
- Key terms like sample space, trial, random experiment, and classical definition of probability.
- Important probability rules including addition rule, mutually exclusive events, complements of events, conditional probability, and multiplication theorem.
Manual Solution Probability and Statistic Hayter 4th EditionRahman Hakim
All of material inside is un-licence, kindly use it for educational only but please do not to commercialize it.
Based on 'ilman nafi'an, hopefully this file beneficially for you.
Thank you.
Índice del Libro "Ciberestafas: La historia de nunca acabar" de 0xWordTelefónica
Este documento trata sobre las estafas y fraudes en el ciberespacio. Explica los tipos de estafas clásicas y las nuevas modalidades que han surgido en Internet, como los ataques de ingeniería social y phishing. También analiza las amenazas relacionadas con las criptomonedas, como su uso para cometer fraudes iniciales de monedas y lavado de dinero. El documento concluye que es necesaria una mayor regulación y cooperación internacional para luchar contra estas amenazas emergentes.
Infinity is a dangerous place where the rules of arithmetic break down. But it is a useful concept and study both infinite limits and limits at infinity.
This document defines key concepts in probability and provides examples. It discusses probability vocabulary like sample space, outcome, trial, and event. It defines probability as the number of times a desired outcome occurs over total trials. Events are independent if the outcome of one does not impact others, and mutually exclusive if they cannot occur together. The addition and multiplication rules for probability are explained. Conditional probability describes the probability of a second event depending on the first occurring. Counting techniques are discussed for finding total possible outcomes of combined experiments. Review questions are provided to test understanding of the material.
1. A negative binomial experiment consists of repeated trials that result in one of two outcomes (success/failure). It continues until a fixed number (k) of successes occur.
2. The probability of success (p) is constant across trials, which are independent. The number of trials (x) needed to achieve k successes follows a negative binomial distribution.
3. The document provides the notation and formula for the negative binomial distribution. It also gives examples of calculating the probability of achieving k successes in x trials under this distribution.
This document discusses several discrete probability distributions:
1. Binomial distribution - For experiments with a fixed number of trials, two possible outcomes, and constant probability of success. The probability of x successes is given by the binomial formula.
2. Geometric distribution - For experiments repeated until the first success. The probability of the first success on the xth trial is p(1-p)^(x-1).
3. Poisson distribution - For counting the number of rare, independent events occurring in an interval. The probability of x events is (e^-μ μ^x)/x!, where μ is the mean number of events.
Mathematical modeling models, analysis and applications ( pdf drive )UsairamSheraz
The document describes a textbook on mathematical modeling that covers modeling with all types of differential equations, including ordinary, partial, delay, and stochastic equations. It is a comprehensive textbook that addresses modeling techniques used in analysis. It incorporates MATLAB and Mathematica and includes examples and exercises that can be used for projects. The book is intended for engineers, scientists, and others who use modeling of discrete and continuous systems.
This document provides an overview of key concepts in probability. It defines probability as a measure of likelihood or chance that can be estimated using relative frequency or subjective estimates. It introduces common probability notation and outlines three basic rules for computing probability: relative frequency approximation, classical approach, and subjective probabilities. Examples are provided to illustrate these concepts and rules. The document also discusses the law of large numbers, probability limits between 0 and 1, and guidelines for rounding off probabilities.
This document discusses sampling techniques for dry solids and slurries. It introduces various methods for determining the minimum sample size needed for different types of analysis like composition testing or size distribution measurement. It also covers mechanical considerations in sampling equipment design and methods for obtaining composite samples from multiple extractions. The document then shifts to discussing various solid-solid processing systems and techniques, including mixing, screening, classification, dense media separation, magnetic separation, and electrostatic separation.
The document introduces differentiation and the concept of the derivative. It discusses how the derivative can be used to find the rate of change of a function and the slope of its tangent line. The main rules covered are:
1) If f(x) = x^n, then the derivative is f'(x) = nx^(n-1).
2) Examples are provided of finding the derivative of functions like f(x) = 6x^3, which is f'(x) = 18x^2.
3) The derivative can be used to find the slope of a tangent line at specific points, like finding the derivative of f(x) = (x + 5)^2 at x
The document provides information about binomial probability distributions including:
- Binomial experiments have a fixed number (n) of independent trials with two possible outcomes and a constant probability (p) of success.
- The binomial probability distribution gives the probability of getting exactly x successes in n trials. It is calculated using the binomial coefficient and p and q=1-p.
- The mean, variance and standard deviation of a binomial distribution are np, npq, and √npq respectively.
- Examples demonstrate calculating probabilities of outcomes for binomial experiments and determining if results are significantly low or high using the range rule of μ ± 2σ.
Random Variable
Discrete Probability Distribution
continuous Probability Distribution
Probability Mass Function
Probability Density Function
Expected value
variance
Binomial Distribution
poisson distribution
normal distribution
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tai lieu tong hop, thu vien luan van, luan van tong hop, do an chuyen nganh
Probability And Probability Distributions Sahil Nagpal
This document provides an overview of key concepts in probability and probability distributions. It defines important terms like probability, sample space, events, mutually exclusive events, independent events, and conditional probability. It also covers rules of probability like addition rules, complement rules, and Bayes' theorem. Finally, it introduces discrete and continuous random variables and discusses properties of discrete probability distributions like expected value and standard deviation.
The objective of these notes is to present a concise introduction to the fundamentals of investments. The notes take a risk-return valuation approach in an efficient markets
framework and do not delve into technical and fundamental analyses.
Financial modeling for managers with excel applications 2nd editionHung Pham Thai
This document provides a table of contents for a book on financial modeling using Excel. The book covers topics such as interest rates, time value of money, bond valuation, foreign exchange, statistics, regression, and stochastic processes. It aims to teach quantitative financial methods and applications in a practical way using Excel. The table of contents lists 9 chapters organized into 5 parts that cover various quantitative finance concepts and their implementation in Excel.
The document describes the Prosonic S FMU90 transmitter, which uses ultrasonic sensors for level or flow measurement of fluids, pastes, sludge, and bulk materials. It operates by transmitting ultrasonic pulses and measuring the time of flight between transmission and reception to calculate the distance to the material surface. Key features include measurement ranges up to 70m, level detection using up to 6 relays, pump control functions, totalizers, data logging, HART and PROFIBUS communication, and housing options for field or DIN rail mounting.
Manual Prático de Operações Fiscais e Contábeis (ICMS, IPI, ISS, PIS, COFINS)...IOB News
1) O documento apresenta os aspectos gerais do ICMS, IPI, ISS, PIS e Cofins.
2) É abordado o fato gerador, local da operação, base de cálculo, crédito fiscal, alíquotas e outros assuntos relacionados a esses tributos.
3) O documento também discute temas como armazém geral, amostra grátis e bens salvados de sinistro no âmbito dos tributos apresentados.
Introduction to Probability and Probability DistributionsJezhabeth Villegas
This document provides an overview of teaching basic probability and probability distributions to tertiary level teachers. It introduces key concepts such as random experiments, sample spaces, events, assigning probabilities, conditional probability, independent events, and random variables. Examples are provided for each concept to illustrate the definitions and computations. The goal is to explain the necessary probability foundations for teachers to understand sampling distributions and assessing the reliability of statistical estimates from samples.
This document provides information about discrete uniform distributions. It defines a uniform distribution as one where all probabilities are the same. It gives an example of a 4-sided spinner where the probability of landing on any side is 1/4. The mean, median, mode, and variance of uniform distributions are discussed. For a uniform distribution, the mean is the average of the possible values, the median is the same as the mean, and there is no single mode since all outcomes are equally likely. Variance measures how spread out the possible values are from the average.
This document provides an introduction to probability theory, including key concepts such as:
- The foundational definitions of probability put forth by Pascal and Fermat.
- Key terms like sample space, trial, random experiment, and classical definition of probability.
- Important probability rules including addition rule, mutually exclusive events, complements of events, conditional probability, and multiplication theorem.
Manual Solution Probability and Statistic Hayter 4th EditionRahman Hakim
All of material inside is un-licence, kindly use it for educational only but please do not to commercialize it.
Based on 'ilman nafi'an, hopefully this file beneficially for you.
Thank you.
Índice del Libro "Ciberestafas: La historia de nunca acabar" de 0xWordTelefónica
Este documento trata sobre las estafas y fraudes en el ciberespacio. Explica los tipos de estafas clásicas y las nuevas modalidades que han surgido en Internet, como los ataques de ingeniería social y phishing. También analiza las amenazas relacionadas con las criptomonedas, como su uso para cometer fraudes iniciales de monedas y lavado de dinero. El documento concluye que es necesaria una mayor regulación y cooperación internacional para luchar contra estas amenazas emergentes.
Infinity is a dangerous place where the rules of arithmetic break down. But it is a useful concept and study both infinite limits and limits at infinity.
This document defines key concepts in probability and provides examples. It discusses probability vocabulary like sample space, outcome, trial, and event. It defines probability as the number of times a desired outcome occurs over total trials. Events are independent if the outcome of one does not impact others, and mutually exclusive if they cannot occur together. The addition and multiplication rules for probability are explained. Conditional probability describes the probability of a second event depending on the first occurring. Counting techniques are discussed for finding total possible outcomes of combined experiments. Review questions are provided to test understanding of the material.
1. A negative binomial experiment consists of repeated trials that result in one of two outcomes (success/failure). It continues until a fixed number (k) of successes occur.
2. The probability of success (p) is constant across trials, which are independent. The number of trials (x) needed to achieve k successes follows a negative binomial distribution.
3. The document provides the notation and formula for the negative binomial distribution. It also gives examples of calculating the probability of achieving k successes in x trials under this distribution.
This document discusses several discrete probability distributions:
1. Binomial distribution - For experiments with a fixed number of trials, two possible outcomes, and constant probability of success. The probability of x successes is given by the binomial formula.
2. Geometric distribution - For experiments repeated until the first success. The probability of the first success on the xth trial is p(1-p)^(x-1).
3. Poisson distribution - For counting the number of rare, independent events occurring in an interval. The probability of x events is (e^-μ μ^x)/x!, where μ is the mean number of events.
Mathematical modeling models, analysis and applications ( pdf drive )UsairamSheraz
The document describes a textbook on mathematical modeling that covers modeling with all types of differential equations, including ordinary, partial, delay, and stochastic equations. It is a comprehensive textbook that addresses modeling techniques used in analysis. It incorporates MATLAB and Mathematica and includes examples and exercises that can be used for projects. The book is intended for engineers, scientists, and others who use modeling of discrete and continuous systems.
This document provides an overview of key concepts in probability. It defines probability as a measure of likelihood or chance that can be estimated using relative frequency or subjective estimates. It introduces common probability notation and outlines three basic rules for computing probability: relative frequency approximation, classical approach, and subjective probabilities. Examples are provided to illustrate these concepts and rules. The document also discusses the law of large numbers, probability limits between 0 and 1, and guidelines for rounding off probabilities.
This document discusses sampling techniques for dry solids and slurries. It introduces various methods for determining the minimum sample size needed for different types of analysis like composition testing or size distribution measurement. It also covers mechanical considerations in sampling equipment design and methods for obtaining composite samples from multiple extractions. The document then shifts to discussing various solid-solid processing systems and techniques, including mixing, screening, classification, dense media separation, magnetic separation, and electrostatic separation.
The document introduces differentiation and the concept of the derivative. It discusses how the derivative can be used to find the rate of change of a function and the slope of its tangent line. The main rules covered are:
1) If f(x) = x^n, then the derivative is f'(x) = nx^(n-1).
2) Examples are provided of finding the derivative of functions like f(x) = 6x^3, which is f'(x) = 18x^2.
3) The derivative can be used to find the slope of a tangent line at specific points, like finding the derivative of f(x) = (x + 5)^2 at x
The document provides information about binomial probability distributions including:
- Binomial experiments have a fixed number (n) of independent trials with two possible outcomes and a constant probability (p) of success.
- The binomial probability distribution gives the probability of getting exactly x successes in n trials. It is calculated using the binomial coefficient and p and q=1-p.
- The mean, variance and standard deviation of a binomial distribution are np, npq, and √npq respectively.
- Examples demonstrate calculating probabilities of outcomes for binomial experiments and determining if results are significantly low or high using the range rule of μ ± 2σ.
Random Variable
Discrete Probability Distribution
continuous Probability Distribution
Probability Mass Function
Probability Density Function
Expected value
variance
Binomial Distribution
poisson distribution
normal distribution
Để xem full tài liệu Xin vui long liên hệ page để được hỗ trợ
:
https://www.facebook.com/garmentspace/
https://www.facebook.com/thuvienluanvan01
HOẶC
https://www.facebook.com/thuvienluanvan01
https://www.facebook.com/thuvienluanvan01
tai lieu tong hop, thu vien luan van, luan van tong hop, do an chuyen nganh
Probability And Probability Distributions Sahil Nagpal
This document provides an overview of key concepts in probability and probability distributions. It defines important terms like probability, sample space, events, mutually exclusive events, independent events, and conditional probability. It also covers rules of probability like addition rules, complement rules, and Bayes' theorem. Finally, it introduces discrete and continuous random variables and discusses properties of discrete probability distributions like expected value and standard deviation.
The objective of these notes is to present a concise introduction to the fundamentals of investments. The notes take a risk-return valuation approach in an efficient markets
framework and do not delve into technical and fundamental analyses.
Financial modeling for managers with excel applications 2nd editionHung Pham Thai
This document provides a table of contents for a book on financial modeling using Excel. The book covers topics such as interest rates, time value of money, bond valuation, foreign exchange, statistics, regression, and stochastic processes. It aims to teach quantitative financial methods and applications in a practical way using Excel. The table of contents lists 9 chapters organized into 5 parts that cover various quantitative finance concepts and their implementation in Excel.
This document provides an overview of principles of financial accounting. It covers topics such as the accounting cycle for service businesses using both cash and accrual bases of accounting. It also discusses the accounting cycle for merchandising businesses, including basic merchandising transactions under both perpetual and periodic inventory systems. Additionally, it explores assets like inventory and cash in more detail. The document is intended to teach students the fundamentals of recording and reporting financial information according to generally accepted accounting principles.
This document provides an introduction to managerial accounting concepts. It defines managerial accounting as providing internal reports customized for management decision making, as opposed to external financial reporting. It notes managerial accounting involves actual and estimated future financial data. The main topics covered include accumulating costs, analyzing costs, evaluating performance, and comparing alternatives. It states the goal is to generate profit by controlling costs, which impact profitability. Managerial accounting is relevant for service, merchandising, and manufacturing businesses.
This document outlines the Penetration Testing Execution Standard (PTES), which provides guidelines for conducting a penetration test. It describes the pre-engagement interactions between testers and clients to define the scope of work. It also covers intelligence gathering, threat modeling, vulnerability analysis, exploitation, post-exploitation activities, and reporting. The goal is to simulate real-world attacks to identify security issues, but tests are conducted under an agreed scope and rules of engagement.
This document is Fannie Mae's Form 10-Q quarterly report filed with the SEC for the quarter ended March 31, 2008. It includes Fannie Mae's unaudited condensed consolidated financial statements and notes, as well as management's discussion and analysis of financial condition and results of operations. Some key details include:
- Fannie Mae reported a net loss of $1.5 billion for the first quarter of 2008, compared to net income of $1.6 billion for the same period in 2007.
- Net interest income decreased by $0.4 billion compared to the first quarter of 2007, primarily due to higher debt funding costs and lower yields on mortgage loans and investments.
- Credit-
- The document is a quarterly report filed by the Federal National Mortgage Association (Fannie Mae) with the United States Securities and Exchange Commission for the quarterly period ended September 30, 2007.
- It includes Fannie Mae's condensed consolidated financial statements and notes for the period, as well as management's discussion and analysis of financial condition and results of operations.
- The report provides information on Fannie Mae's business segments, financial position and performance for the period in compliance with SEC reporting requirements.
Shreve, Steven - Stochastic Calculus for Finance I: The Binomial Asset Pricin...raffamaiden
Stochastic Calculus for Finance evolved from the first ten years of the Carnegie Mellon Professional Master's program in Computational Finance. The content of this book has been used successfully with students whose mathematics background consists of calculus and calculus-based probability. The text gives both precise statements of results, plausibility arguments, and even some proofs, but more importantly intuitive explanations developed and refine through classroom experience with this material are provided. The book includes a self-contained treatment of the probability theory needed for stchastic calculus, including Brownian motion and its properties. Advanced topics include foreign exchange models, forward measures, and jump-diffusion processes.
This book is being published in two volumes. The first volume presents the binomial asset-pricing model primarily as a vehicle for introducing in the simple setting the concepts needed for the continuous-time theory in the second volume.
Chapter summaries and detailed illustrations are included. Classroom tested exercises conclude every chapter. Some of these extend the theory and others are drawn from practical problems in quantitative finance.
Advanced undergraduates and Masters level students in mathematical finance and financial engineering will find this book useful.
Steven E. Shreve is Co-Founder of the Carnegie Mellon MS Program in Computational Finance and winner of the Carnegie Mellon Doherty Prize for sustained contributions to education.
Content Level » Graduate
Keywords » Arbitrage - Finance - Measure - Probability space - Probability theory - Random variable - Sage - Stochastic calculus
Related subjects » Applications - Finance & Banking - Probability Theory and Stochastic Processes - Quantitative Finance
This document provides an introduction to learning how to program with the Python programming language. It covers fundamental programming concepts like values and variables, expressions, conditional execution, iteration, functions, and more. Each chapter defines and provides examples of a new programming concept. The goal is to teach readers enough Python to begin writing basic programs.
This document provides lecture notes on dynamic competitive analysis and related economic topics. It covers dynamic programming and its application to neoclassical growth models, business cycle analysis using real business cycle and Keynesian models, economic growth theory from Malthus to Solow, asset pricing models, the effects of government spending, and policy function iteration methods. The notes are intended to help the reader understand various dynamic economic models and quantitative techniques.
[Actuary] actuarial mathematics and life table statisticsthuy_ngoc411
This document appears to be the preface or introduction to a textbook on actuarial mathematics and life-table statistics. It outlines the approach taken in the textbook, which introduces concepts through concrete word problems and applications, deducing material directly from calculus rather than assuming a formal probability background. The textbook covers topics like probability, life tables, interest theory, premium calculation, and population theory, treating these areas as applications of calculus concepts. The goal is to provide a solid grounding in the mathematics of actuarial science.
This document is an introductory statistics textbook that covers topics such as descriptive statistics, probability, probability distributions, sampling, confidence intervals, and hypothesis testing. It is divided into multiple chapters that progress from basic concepts to more advanced statistical analyses. The textbook is authored by Jeremy Balka and is available under a Creative Commons license for non-commercial use and sharing. It can also be accessed online through video lectures and supporting materials on the author's website.
This document is a preliminary draft of a macroeconomic theory and policy textbook by David Andolfatto of Simon Fraser University. It includes an outline of the contents which covers topics such as gross domestic product, neoclassical theory, fiscal policy, consumption and saving, government spending and finance, capital and investment, and labor market flows and unemployment. It aims to provide students with the basics of macroeconomic theory.
This document is the quarterly report filed by the Federal National Mortgage Association (Fannie Mae) with the United States Securities and Exchange Commission for the quarterly period ended March 31, 2007. It includes Fannie Mae's unaudited condensed consolidated financial statements and notes, as well as management's discussion and analysis of financial condition and results of operations. The report provides information on Fannie Mae's business segments, financial position and performance, liquidity and capital resources, risk management, and accounting policies.
This document is the table of contents for the 8th edition of the textbook "A First Course in Probability" by Sheldon Ross. It lists the chapter titles and sections within each chapter. The textbook covers topics in probability theory including combinatorics, axioms of probability, conditional probability, random variables, and their distributions and properties. It is published by Pearson Education and copyrighted in 2010.
This document is a table of contents for the book "How to Think Like a Computer Scientist: Learning with Python 3" which teaches Python programming concepts like variables, expressions, statements, functions, conditionals, iteration and more. It lists the chapter titles and section headings that make up the book's content which is focused on teaching the fundamentals of computer science using the Python programming language.
This document is the table of contents for the 9th edition of the textbook "Probability & Statistics for Engineers & Scientists" by Ronald E. Walpole et al. The table of contents lists the textbook's 16 chapters and their section topics, which provide an overview of probability, statistics, and probability distributions for engineering and science applications. Key topics include probability, random variables, expectation, discrete distributions like binomial and Poisson, continuous distributions like normal, and statistical inference. The textbook is dedicated to several individuals and aims to explain these fundamental statistical concepts.
statistics and Probability Analysis for beginnersexternal531
This document is the table of contents for the 9th edition of the textbook "Probability & Statistics for Engineers & Scientists" by Ronald E. Walpole et al. The table of contents lists the textbook's chapters and sections which provide an introduction to probability, statistics, and statistical distributions for engineering and science students and professionals. Key topics covered include probability, random variables, expectation, discrete distributions like the binomial and Poisson, continuous distributions like the normal, and applications of statistical techniques. The textbook is dedicated to sharing statistical knowledge with engineers and scientists.
Probability_and_Statistics_for_Engineers.pdfMarco Meza
This document is the table of contents for the 9th edition of the textbook "Probability & Statistics for Engineers & Scientists" by Ronald E. Walpole et al. The table of contents lists the textbook's 6 chapters and their sections, which cover topics such as introduction to statistics, probability, random variables, probability distributions, and applications of probability in engineering and science. The textbook is dedicated to several individuals and families.
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How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
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Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
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Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
5. 1 The Measurement of Interest
1.1 Introduction
Interest
– compensation a borrower of capital pays to a lender of capital
– lender has to be compensated since they have temporarily lost use of their capital
– interest and capital are almost always expressed in terms of money
1.2 The Accumulation Function and the Amount Function
The Financial Transaction
– an amount of money or capital (Principal) is invested for a period of time
– at the end of the investment period, a total amount (Accumulated Value) is returned
– difference between the Accumulated Value and the Principal is the Interest Earned
Accumulation Function: a(t)
– let t be the number of investment years (t ≥ 0), where a(0) = 1
– assume that a(t) is continuously increasing
– a(t) defines the pattern of accumulation for an investment of amount 1
Amount Function: A(t) = k · a(t)
– let k be the initial principal invested (k > 0) where A(0) = k
– A(t) is continuously increasing
– A(t) defines the Accumulated Value that amount k grows to in t years
Interest Earned during the nth period: In = A(n) − A(n − 1)
– interest earned is the difference between the Accumulated Value at the end of a period and
the Accumulated Value at the beginning of the period
1.3 The Effective Rate of Interest: i
Definition
– i is the amount of interest earned over a one-year period when 1 is invested
– let in be the effective rate of interest earned during the nth period of the investment where
interest is paid at the end of the period
– i is also defined as the ratio of the amount of Interest Earned during the period to the
Accumulated Value at the beginning of the period
in =
A(n) − A(n − 1)
A(n − 1)
=
In
A(n − 1)
, for integral n ≥ 1
2
6. 1.4 Simple Interest
– assume that interest accrues for t years and is then reinvested for another s years where s < 1
– let interest earned each year on an investment of 1 be constant at i and
a(0) = 1, a(1) = 1 + i
– simple interest is a linear accumulation function, a(t) = 1 + it, for integral t ≥ 0
– simple interest has the property that interest is NOT reinvested to earn additional interest
– a constant rate of simple interest implies a decreasing effective rate of interest:
in =
A(n) − A(n − 1)
A(n − 1)
=
k · a(n) − k · a(n − 1)
k · a(n − 1)
=
a(n) − a(n − 1)
a(n − 1)
=
1 + i · n − [1 + i · (n − 1)]
1 + i · (n − 1)
=
i
1 + i · (n − 1)
Nonintegral Value of t
– assume that interest accrues for t years and is then reinvested for another s years where s < 1
– if no interest is credited for fractional periods, then a(t) becomes a step function with dis-
continuities
– assume that interest accrues proportionately over fractional periods
a(t + s) = a(t) + a(s) − 1 = 1 + it + 1 + is − 1 = 1 + i(t + s)
– amount of Interest Earned to time t is
I = A(0) · it
1.5 Compound Interest
– let interest earned each year on an investment of 1 be constant at i and
a(0) = 1, a(1) = 1 + i
– compound interest is an exponential accumulation function a(t) = (1 + i)t
, for integral t ≥ 0
– compound interest has the property that interest is reinvested to earn additional interest
– compound interest produces larger accumulations than simple interest when t > 1
3
7. – a constant rate of compound interest implies a constant effective rate of interest
in =
A(n) − A(n − 1)
A(n − 1)
=
k · a(n) − k · a(n − 1)
k · a(n − 1)
=
a(n) − a(n − 1)
a(n − 1)
=
(1 + i)n
− (1 + i)n−1
(1 + i)n−1
= i
Nonintegral Value of t
– assume that interest accrues for t years and is then reinvested for another s years where s < 1
– a(t + s) = a(t) · a(s) = (1 + i)t
· (1 + i)s
= (1 + i)t+s
1.6 Present Value
Discounting
– Accumulated Value is a future value pertaining to payment(s) made in the past
– Discounted Value is a present value pertaining to payment(s) to be made in the future
– discounting determines how much must be invested initially (X) so that 1 will be accumulated
after t years
X · (1 + i)t
= 1 → X =
1
(1 + i)t
– X represents the present value of 1 to be paid in t years
– let v =
1
1 + i
, v is called a discount factor or present value factor
X = 1 · vt
Discount Function: a−1
(t)
– let a−1
(t) =
1
a(t)
– simple interest: a−1
(t) =
1
1 + it
– compound interest: a−1
(t) =
1
(1 + i)
t = vt
– compound interest produces smaller Discount Values than simple interest when t > 1
4
8. 1.7 The Effective Rate of Discount: d
Definition
– an effective rate of interest is taken as a percentage of the balance at the beginning of the
year, while an effective rate of discount is at the end of the year.
eg. if 1 is invested and 6% interest is paid at the end of the year, then the Accumulated
Value is 1.06
eg. if 0.94 is invested after a 6% discount is paid at the beginning of the year, then the
Accumulated Value at the end of the year is 1.00
– let dn be the effective rate of discount earned during the nth period of the investment where
discount is paid at the beginning of the period
– d is also defined as the ratio of the amount of interest (amount of discount) earned during
the period to the amount invested at the end of the period
dn =
A(n) − A(n − 1)
A(n)
=
In
A(n)
, for integral n ≥ 1
– if interest is constant, im = i, then discount is constant, dm = d
Relationship Between i and d
– if 1 is borrowed and interest is paid at the beginning of the year then 1 − d remains
– the accumulated value of 1 − d at the end of the year is 1:
(1 − d)(1 + i) = 1
– interest rate is the ratio of the discount paid to the amount at the beginning of the period:
i =
I1
A(0)
=
d
1 − d
– discount rate is the ratio of the interest paid to the amount at the end of the period:
d =
I1
A(1)
=
i
1 + i
– the present value of interest paid at the end of the year is the discount paid at the beginning
of the year
iv = d
– the present value of 1 to be paid at the end of the year is the same as borrowing 1 − d and
repaying 1 at the end of the year (if both have the same value at the end of the year, then
they have to have the same value at the beginning of the year)
1 · v = 1 − d
5
9. – the difference between interest paid at the end and at the beginning of the year depends on
the difference that is borrowed at the beginning of the year and the interest earned on that
difference
i − d = i[1 − (1 − d)] = i · d ≥ 0
Discount Function: a−1
(t)
– let dn = d
– under the simple discount model, the discount function is
a−1
(t) = 1 − dt for 0 ≤ t < 1/d
– under the compound discount model, the discount function is
a−1
(t) = (1 − d)
t
= vt
for t ≥ 0
– a constant rate of simple discount implies an increasing effective rate of discount
dn =
A(n) − A(n − 1)
A(n)
=
k · a(n) − k · a(n − 1)
k · a(n)
= 1 −
a(n − 1)
a(n)
= 1 −
a−1
(n)
a−1(n − 1)
= 1 −
(1 − d · n)
1 − d(n − 1)
=
1 − d · n + d − 1 + d · n
1 − d(n − 1)
=
d
1 − d(n − 1)
– a constant rate of compound discount implies a constant effective rate of discount
dn =
A(n) − A(n − 1)
A(n)
=
k · a(n) − k · a(n − 1)
k · a(n)
= 1 −
a(n − 1)
a(n)
= 1 −
a−1
(n)
a−1(n − 1)
= 1 −
(1 − d)
n
(1 − d)n−1
= 1 − (1 − d)
= d
6
10. 1.8 Nominal Rate of Interest and Discount Convertible mth
ly: i(m)
, d(m)
Definition
– an effective rate of interest (discount) is paid once per year at the end(beginning) of the year
– a nominal rate of interest (discount) is paid more frequently during the year (m times) and
at the end (beginning) of the sub-period (nominal rates are also quoted as annual rates)
– nominal rates are adjusted to reflect the rate to be paid during the sub–period
i(2)
= 10% →
i(2)
2
=
10%
2
= 5% paid every 6 months
Equivalency to Effective Rates of Interest: i, i(m)
– with effective interest, you have interest, i, paid at the end of the year
– with nominal interest, you have interest
i(m)
m
, paid at the end of each sub-period and this is
done m times over the year (m sub-periods per year)
(1 + i) =
1 +
i(m)
m
m
– if given an effective rate of interest, a nominal rate of interest can be determined
i(m)
= m[(1 + i)
1/m
− 1]
– the interest rate per sub-period can be determined, if given the effective interest rate
i(m)
m
= (1 + i)
1/m
− 1
Equivalency to Effective Rates of Discount: d, d(m)
– with effective discount, you have discount, d, paid at the beginning of the year
– with nominal discount, you have discount
d(m)
m
, paid at the beginning of each sub-period
and this is done m times over the year (m sub-periods per year)
(1 − d) =
1 −
d(m)
m
m
– if given an effective rate of discount, a nominal rate of discount can be determined
d(m)
= m[1 − (1 − d)1/m
]
– the discount rate per sub-period can be determined, if given the effective discount rate
d(m)
m
= 1 − (1 − d)
1/m
7
11. Relationship Between
i(m)
m
and
d(m)
m
– when using effective rates, you must have (1 + i) or (1 − d)−1
by the end of the year
(1 + i) =
1
v
=
1
(1 − d)
= (1 − d)
−1
– when replacing the effective rate formulas with their nominal rate counterparts, you have
1 +
i(m)
m
m
=
1 −
d(p)
p
−p
– when p = m
1 +
i(m)
m
m
=
1 −
d(m)
m
−m
1 +
i(m)
m
=
1 −
d(m)
m
−1
1 +
i(m)
m
=
m
m · d(m)
i(m)
m
=
m
m · d(m)
− 1 =
m − m + d(m)
m − d(m)
i(m)
m
=
d(m)
m − d(m)
i(m)
m
=
d(m)
m
1 −
d(m)
m
– the interest rate over the sub-period is the ratio of the discount paid to the amount at the
beginning of the sub-period (principle of the interest rate still holds)
d(m)
m
=
i(m)
m
1 +
i(m)
m
– the discount rate over the sub–period is the ratio of interest paid to the amount at the end
of the sub-period (principle of the discount rate still holds)
– the difference between interest paid at the end and at the beginning of the sub-period depends
on the difference that is borrowed at the beginning of the sub-period and on the interest
earned on that difference (principle of the interest and discount rates still holds)
i(m)
m
−
d(m)
m
=
i(m)
m
1 −
1 −
d(m)
m
=
i(m)
m
·
d(m)
m
≥ 0
8
12. 1.9 Forces of Interest and Discount: δi
n, δd
n
Definitions
– annual effective rate of interest and discount are applied over a one-year period
– annual nominal rate of interest and discount are applied over a sub-period once the rates
have been converted
– annual force of interest and discount are applied over the smallest sub-period imaginable (at
a moment in time) i.e. m → ∞
Annual Force of Interest At Time n : δi
n
– recall that the interest rate over a sub-period is the ratio of the Interest Earned during that
period to the Accumulated Value at the beginning of the period
i(m)
m
=
A
n + 1
m
− A(n)
A(n)
– if m = 12,
i(12)
12
=
A
n + 1
12
− A(n)
A(n)
= monthly rate; monthly rate x 12 = annual rate
– if m = 365,
i(365)
365
=
A
n + 1
365
− A(n)
A(n)
= daily rate; daily rate x 365 = annual rate
– if m = 8760,
i(8760)
8760
=
A
n + 1
8760
− A(n)
A(n)
= hourly rate; hourly rate x 8760 = annual rate
– if m → ∞, lim
m→∞
i(m)
m
= lim
m→∞
A
n + 1
m
− A(n)
A(n)
= instantaneous rate
– let δi
n = lim
m→∞
i(m)
= lim
m→∞
A
n + 1
m
− A(n)
1
m
A(n)
= Force of Interest At Time n
δi
n =
d
dn
A(n)
A(n)
=
d
dn
k · a(n)
k · a(n)
=
d
dn
a(n)
a(n)
δi
n =
d
dn
ln[A(n)] =
d
dn
ln[a(n)]
9
13. Accumulation Function Using the Force of Interest
– recall that the Force of Interest is defined as
δi
n =
d
dn
ln[a(n)] → δi
n · dn = d(ln[a(n)])
– integrating both sides from time 0 to t results in
t
0
δi
n · dn =
t
0
d(ln[a(n)])
= ln[a(t)] − ln[a(0)]
= ln
a(t)
a(0)
t
0
δi
n · dn = ln[a(t)])
– taking the exponential function of both sides results in
e
t
0
δi
n · dn
= a(t)
– the Accumulation Function can therefore be defined as an exponential function where the
annual force of interest is converted into an infinitesimally small rate [δi
n · dn]; this small rate
is then applied over every existing moment from time 0 to time t
Interest Earned Over t Years Using the Force of Interest
– recall that the Force of Interest is also defined as
δi
n =
d
dn
A(n)
A(n)
→ A(n) · δi
n · dn = d(A(n))
– integrating both sides from time 0 to t results in
t
0
A(n) · δi
n · dn =
t
0
d(A(n))
t
0
A(n) · δi
n · dn = A(t) − A(0)
– the Interest Earned over a t year period can be found by applying the interest rate that
exists at a certain moment, δi
n · dn, to the balance at that moment, A(n), and evaluating it
for every moment from time 0 to t
10
14. Annual Force of Discount At Time n = Annual Force of Interest At Time n : δd
n = δi
n
– recall that the interest rate over a sub-period is the ratio of the Interest Earned during that
period to the Accumulated Value at the end of the period
d(m)
m
=
A
n + 1
m
− A(n)
A(n + 1
m
)
– if m = 12,
d(12)
12
=
A
n + 1
12
− A(n)
A(n + 1
12 )
= monthly rate; monthly rate x 12 = annual rate
– if m = 365,
d(365)
365
=
A
n + 1
365
− A(n)
A(n + 1
365 )
= daily rate; daily rate x 365 = annual rate
– if m = 8760,
d(8760)
8760
=
A
n + 1
8760
− A(n)
A(n + 1
8760)
= hourly rate; hourly rate x 8760 = annual rate
– if m → ∞, lim
m→∞
d(m)
m
= lim
m→∞
A
n + 1
m
− A(n)
A(n + 1
m )
= instantaneous rate
– let δd
n = lim
m→∞
d(m)
= lim
m→∞
A
n + 1
m
− A(n)
1
m
A(n + 1
m )
= Force of Discount At Time n
δd
n = lim
m→∞
d
dn
A(n)
A(n + 1
m )
·
A(n)
A(n)
δd
n =
d
dn
A(n)
A(n)
· lim
m→∞
A(n)
A(n + 1
m ))
=
d
dn
A(n)
A(n)
· 1
δd
n = δi
n
– an alternative approach to determine the Force of Discount is to take the derivative of the
discount functions (remember that δi
n took the derivative of the accumulation functions)
δd
n =
−
d
dn
a−1
(n)
a−1(n)
=
−
d
dn
1
a(n)
1
a(n)
=
−(−1)
1
a(n)2
d
dn
a(n)
1
a(n)
=
d
dn
a(n)
a(n)
δd
n = δi
n
– from now on, we will use δn instead of δi
n or δd
n
11
15. Force of Interest When Interest Rate Is Constant
– δn can vary at each instantaneous moment
– let the Force of Interest be constant each year: δn = δ → in = i, then
a(t) = e
t
0
δi
n · dn
= e
t
0
δ · dn
= eδ·t
= (1 + i)t
→ eδ
= 1 + i
δ=ln[1+i]
→ e−δ
= v
– note that nominal rates can now be introduced
1 + i =
1 +
i(m)
m
m
=
1 −
d(p)
p
−p
= eδ
Force of Interest Under Simple Interest
– a constant rate of simple interest implies a decreasing force of interest
δn =
d
dn
a(n)
a(n)
=
d
dn
(1 + i · n)
1 + i · n
=
i
1 + i · n
Force of Interest Under Simple Discount
– a constant rate of simple discount implies an increasing force of interest
δn =
−
d
dn
a−1
(n)
a−1(n)
=
−
d
dn
(1 − d · n)
1 − d · n
=
d
1 − d · n
for 0 ≤ t 1/d
12
16. 1.10 Varying Interest
Varying Force of Interest
– recall the basic formula
a(t) = e
t
0
δndn
– if δn is readily integrable, then a(t) can be derived easily
– if δn is not readily integrable, then approximate methods of integration are required
Varying Effective Rate of Interest
– the more common application
a(t) =
t
k=1
(1 + ik)
and
a−1
(t) =
t
k=1
1
(1 + ik)
1.11 Summary of Results
Rate of interest or discount a(t) a−1
(t)
Compound interest
i (1 + i)
t
vt
= (1 + i)
−t
i(m)
1 +
i(m)
m
mt
1 +
i(m)
m
−mt
d (1 − d)t
(1 − d)t
d(m)
1 −
d(m)
m
−mt
1 −
d(m)
m
mt
δ eδt
e−δt
Simple interest
i 1 + it (1 + it)
−1
Simple discount
d (1 − dt)
−1
1 − dt
13
17. 2 Solution of Problems in Interest
2.1 Introduction
How to Solve an Interest Problem
– use basic principles
– develop a systematic approach
2.2 Obtaining Numerical Results
– using a calculator with exponential functions is the obvious first choice
– in absence of such a calculator, using the Table of Compound Interest Functions: Appendix
I (page 376 − 392) would be the next option
– series expansions could be used as a last resort
e.g. (1 + i)
k
= 1 + ki +
k(k − 1)
2!
i2
+
k(k − 1)(k − 2)
3!
i3
+ · · ·
e.g. ekδ
= 1 + kδ +
(kδ)2
2!
+
(kδ)3
3!
+ · · ·
A Common Problem
– using compound interest for integral periods of time and using simple interest for fractional
periods is an exercises in linear interpolation
e.g. (1 + i)
n+k
≈ (1 − k)(1 + i)
n
+ k(1 + i)
n+1
= (1 + i)n
[(1 − k) + k(1 + i)]
= (1 + i)n
(1 + ki)
e.g. (1 − d)
n+k
≈ (1 − k)(1 − d)
n
+ k(1 − d)
n+1
= (1 − d)n
(1 − kd)
2.3 Determining Time Periods
– when using simple interest, there are 3 different methods for counting the days in an invest-
ment period
(i) exact simple interest approach: count actual number of days where one year equals 365
days
(ii) ordinary simple interest approach: one month equals 30 days; total number of days
between D2, M2, Y2 and D1, M1, Y1 is
360(Y2 − Y1) + 30(M2 − M1) + (D2 − D1)
(iii) Banker’s Rule: count actual number of days where one year equals 360 days
14
18. 2.4 The Basic Problem
– there are 4 variables required in order to solve an interest problem
(a) original amount(s) invested
(b) length of investment period(s)
(c) interest rate
(d) accumulated value(s) at the end of the investment period
– if you have 3 of the above variables, then you can solve for the unknown 4th variable
2.5 Equations of Value
– the value at any given point in time, t, will be either a present value or a future value
(sometimes referred to as the time value of money)
– the time value of money depends on the calculation date from which payment(s) are either
accumulated or discounted to
Time Line Diagrams
– it helps to draw out a time line and plot the payments and withdrawals accordingly
0 1 2 ... t ... n-1 n
P1 P2 ... Pt ... Pn-1 Pn
W1 W2 Wt Wn-1 Wn
15
19. Example
– a $600 payment is due in 8 years; the alternative is to receive $100 now, $200 in 5 years and
$X in 10 years. If i = 8%, find $X, such that the value of both options is equal.
0
100
600
X
5 8 10
200
– compare the values at t = 0
0
100
600
X
5 8 10
200
600v8
8% = 100 + 200v5
8% + Xv10
8%
X =
600v8
8% − 100 − 200v5
8%
v10
8%
= 190.08
16
20. – compare the values at t = 5
0
100
600
X
5 8 10
200
600v3
= 100(1 + i)
5
+ 200 + Xv5
X =
600v3
− 100(1 + i)5
− 200
v5
= 190.08
– compare the values at t = 10
0
100
600
X
5 8 10
200
600(1 + i)2
= 100(1 + i)
10
+ 200(1 + i)5
+ X
X = 600(1 + i)2
− 100(1 + i)10
− 200(1 + i)5
= 190.08
– all 3 equations gave the same answer because all 3 equations treated the value of the payments
consistently at a given point of time.
17
21. 2.6 Unknown Time
Single Payment
– the easiest approach is to use logarithms
Example
– How long does it take money to double at i = 6%?
(1.06)n
= 2
n ln[1.06] = ln[2]
n =
ln[2]
ln[1.06]
= 11.89566 years
– if logarithms are not available, then use an interest table from Appendix I (page 376 − 392)
and perform a linear interpolation
(1.06)n
= 2
go to page 378, and find:
(1.06)11
= 1.89830 and
(1.06)
12
= 2.01220
∴ n = 11 +
2 − 1.89830
2.01220 − 1.89830
= 11.89 years
– Rule of 72 for doubling a single payment
n =
ln[2]
ln[1 + i]
=
0.6931
i
·
i
ln[1 + i]
=
0.6931
i
(1.0395), when i = 8%
n ≈
0.72
i
– Rule of 114 for tripling a single payment
n =
ln[3]
ln[1 + i]
=
1.0986
i
·
i
ln[1 + i]
=
1.0986
i
(1.0395), wheni = 8%
n ≈
1.14
i
18
22. An Approximate Approach For Multiple Payments
– let St represent a payment made at time t such that
0 t1 t2 ... tn-1 tn
S1 S2 ... Sn-1 Sn
– we wish to replace the multiple payments with a single payment equal to
n
k=1
Sk such that
the present value of this single payment at a single moment in time (call it t) is equal to the
present value of the multiple payments.
– to find the true value of t:
(S1 + S2 + · · · + Sn) · vt
= S1vt1
+ S2vt2
+ · · · + Snvtn
n
k=1
Sk
· vt
=
n
k=1
Skvtk
vt
=
n
k=1
Skvtk
n
k=1
Sk
t ln[v] = ln
n
k=1
Skvtk
n
k=1
Sk
t =
ln
n
k=1
Skvtk
n
k=1
Sk
ln[v]
t =
ln
n
k=1
Skvtk
− ln
n
k=1
Sk
ln[v]
19
23. – to find an approximate value of t:
– let t̄ equal the weighted average of time (weighted by the payments)
t̄ =
S1 · t1 + S2 · t2 + · · · + Sn−1 · tn−1 + Sn · tn
S1 + S2 + · · · + Sn−1 + Sn
t̄ =
n
k=1
Sktk
n
k=1
Sk
method of equated time
– if t̄ t, then the present value using the method of equated time will be less than the present
value using exact t
Algebraic Proof: t̄ t
– let vtk
be the present value of a future payment of 1 at timetk and let Sk be the number of
payments made at time k
(a) arithmetic weighted mean of present values
S1vt1
+ S2vt2
+ · · · + Snvtn
S1 + S2 + · · · + Sn
=
n
k=1
Skvtk
n
k=1
Sk
(b) geometric weighted mean of present value
vt1
S1
·
vt2
S2
· · ·
vtn
Sn
1
S1+S2+···+Sn
=
vS1·t1+S2 ·t2+···+Sn·tn
1
S1+S2+···+Sn
= v
S1·t1+S2·t2+···+Sn·tn
S1+S2+···+Sn
= vt̄
Since geometric means are less than arithmetic means,
vt̄
n
k=1
Skvtk
n
k=1
Sk
n
k=1
Sk
· vt̄
n
k=1
Skvtk
=
n
k=1
Sk
· vt
Present Value: Method of Equated Time Present Value: Exact t
20
24. 2.7 Unknown Rate of Interest
– it is quite common to have a financial transaction where the rate of return needs to be
determined
Single Payment
– interest rate is easy to determine if a calculator with exponential and logarithmic functions
is available
Example
– $100 investment triples in 10 years at nominal rate of interest convertible quarterly.
Find i(4)
.
1, 000
1 +
i(4)
4
4×10
= 3, 000
i(4)
= 4
3
1
40 − 1
= 0.1114
Multiple Payments
– interest rate is easy to determine if there are only a small number of payments and the
equation of value can be reduced to a polynomial that is not too difficult to solve
Example
– At what effective interest rate will the present value of $200 at the end of 5 years and
$300 at the end of 10 years be equal to $500?
200v5
+ 300v10
= 500
3
a
(v5
)
2
+2
b
v5
−5
c
= 0 → quadratic formula
v5
=
−2 +
22 − 4(3)(−5)
2(3)
=
−2 +
√
64
6
=
−2 + 8
6
= 1
v5
= 1 → (1 + i)5
= 1 → i = 0%
21
25. – when a quadratic formula cannot be found, then linear interpolation may be used
Example
– At what effective interest rate will an investment of $100 immediately and $500 3 years
from now accumulate to $1000 10 years from now?
100(1 + i)10
+ 500(1 + i)7
= 1000
(1 + i)10
+ 5(1 + i)7
= 10 = f(i)
Use trial and error and find where f(i−
) 10 and f(i+
) 10 and then linearly interpolate.
The closer to 10 you can get, the more accurate will be the answer:
f(9%) = 9.68
f(i) = 10
f(10%) = 10.39
i = 9 +
10 − 9.68
10.39 − 9.68
= 9.45%
The actual answer is 9.46%.
– a higher level of accuracy can be achieved if the linear interpolation is repeated until the
desired numbers of decimal accuracy is achieved
22
26. 2.8 Practical Examples
In the real world, interest rates are expressed in a number of ways:
e.g. A bank advertising deposit rates as “5.87%/6%” yield is saying i(4)
= 5.87% and i = 6%.
(they often neglect to mention the conversion rate).
e.g. United States Treasury bills (T-bills) are 13, 26 or 52 week deposits where the interest rates
quoted are actually discount rates. Longer–term Treasury securities will quote interest rates.
e.g. Short–term commercial transactions often are based using discount rates on a simple discount
basis
e.g. Credit cards charge interest on the ending balance of the prior month. In other words, a
card holder who charges in October will not be charged with interest until November. The
card holder is getting an interest-free loan from the time of their purchase to the end of the
month if they pay off the whole balance. This is why interest rates on credit cards are high;
companies need to make up for the lack of interest that is not charged during the month of
purchase.
23
27. 3 Basic Annuities
3.1 Introduction
Definition of An Annuity
– a series of payments made at equal intervals of time (annually or otherwise)
– payments made for certain for a fixed period of time are called an annuity-certain
– the payment frequency and the interest conversion period are equal (this will change in
Chapter 4)
– the payments are level (this will also change in Chapter 4)
3.2 Annuity-Immediate
Definition
– payments of 1 are made at the end of every year for n years
0 1 2 ... n - 1 n
1 1 ... 1 1
– the present value (at t = 0) of an annuity–immediate, where the annual effective rate of
interest is i, shall be denoted as an i and is calculated as follows:
an i = (1)v + (1)v2
+ · · · + (1)vn−1
+ (1)vn
= v(1 + v + v2
+ · · · + vn−2
+ vn−1
)
=
1
1 + i
1 − vn
1 − v
=
1
1 + i
1 − vn
d
=
1
1 + i
1 − vn
i
1+i
=
1 − vn
i
24
28. – the accumulated value (at t = n) of an annuity–immediate, where the annual effective rate
of interest is i, shall be denoted as sn i
and is calculated as follows:
sn i = 1 + (1)(1 + i) + · · · + (1)(1 + i)n−2
+ (1)(1 + i)n−1
=
1 − (1 + i)n
1 − (1 + i)
=
1 − (1 + i)n
−i
=
(1 + i)n
− 1
i
Basic Relationship 1 : 1 = i · an + vn
Consider an n–year investment where 1 is invested at time 0.
The present value of this single payment income stream at t = 0 is 1.
Alternatively, consider a n–year investment where 1 is invested at time 0 and produces
annual interest payments of (1)·i at the end of each year and then the 1 is refunded at t = n.
0 1 2 ... n - 1 n
i i ... i i
1
+
The present value of this multiple payment income stream at t = 0 is i · an + (1)vn
.
Note that an =
1 − vn
i
→ 1 = i · an + vn
.
Therefore, the present value of both investment opportunities are equal.
25
29. Basic Relationship 2 : P V (1 + i)n
= F V and P V = F V · vn
– if the future value at time n, sn , is discounted back to time 0, then you will have its
present value, an
sn · vn
=
(1 + i)n
− 1
i
· vn
=
(1 + i)n
· vn
− vn
i
=
1 − vn
i
= an
– if the present value at time 0, an , is accumulated forward to time n, then you will have
its future value, sn
an · (1 + i)n
=
1 − vn
i
(1 + i)n
=
(1 + i)n
− vn
(1 + i)n
i
=
(1 + i)n
− 1
i
= sn
Basic Relationship 3 :
1
an
=
1
sn
+ i
Consider a loan of 1, to be paid back over n years with equal annual payments of P made
at the end of each year. An annual effective rate of interest, i, is used. The present value of
this single payment loan must be equal to the present value of the multiple payment income
stream.
P · an i = 1
P =
1
an i
Alternatively, consider a loan of 1, where the annual interest due on the loan, (1)i, is paid at
the end of each year for n years and the loan amount is paid back at time n.
In order to produce the loan amount at time n, annual payments at the end of each year,
for n years, will be made into an account that credits interest at an annual effective rate of
interest i.
The future value of the multiple deposit income stream must equal the future value of the
single payment, which is the loan of 1.
D · sn i
= 1
D =
1
sn i
The total annual payment will be the interest payment and account payment:
i +
1
sn i
26
30. Note that
1
an i
=
i
1 − vn
×
(1 + i)n
(1 + i)n
=
i(1 + i)n
(1 + i)n − 1
=
i(1 + i)n
+ i − i
(1 + i)n − 1
=
i[(1 + i)n
− 1] + i
(1 + i)n − 1
= i +
i
(1 + i)n − 1
= i +
1
sn
Therefore, a level annual annuity payment on a loan is the same as making an annual interest
payment each year plus making annual deposits in order to save for the loan repayment.
Interest Repayment Options
Given a loan of 1, there are 3 options in repaying back the loan over the next n years:
Option 1: Pay back the loan and all interest due at time n.
Total Interest Paid = A(n) − A(0)
= Loan × (1 + i)n
− Loan
= Loan × [(1 + i)n
− 1]
Option 2: Pay at the end of each year, the interest that comes due on the loan and then pay
back the loan at time n.
Annual Interest Payment = i · Loan
Total Interest Paid = i · Loan × n
= Loan × (i · n)
Option 3: Pay a level annual amount at the end of each year for the next n years.
Annual Payment =
Loan
an
Total Payments =
Loan
an
× n
Total Interest Paid = Total Payments − Loan
=
Loan
an
× n − Loan
= Loan
n
an
− 1
= Loan
i · n
1 − vn
− 1
Option 1 and 2 is a comparison between compound v.s. simple interest. Therefore, less
interest is paid under Option 2. This would make sense because if you pay off interest as it
comes due, the loan can not grow, as it does under Option 1.
27
31. Option 2 and 3 is a mathematical comparison that shows less interest being paid under
Option 3.
3.3 Annuity–Due
Definition
– payments of 1 are made at the beginning of every year for n years
0 1 2 ... n - 1 n
1 1 1 ... 1
– the present value (at t = 0) of an annuity–due, where the annual effective rate of interest is
i, shall be denoted as än i
and is calculated as follows:
än i = 1 + (1)v + (1)v2
+ · · · + (1)vn−2
+ (1)vn−1
=
1 − vn
1 − v
=
1 − vn
d
– the accumulated value (at t = n) of an annuity–due, where the annual effective rate of interest
is i, shall be denoted as s̈n i
and is calculated as follows:
s̈n i = (1)(1 + i) + (1)(1 + i)2
+ · · · + (1)(1 + i)n−1
+ (1)(1 + i)n
= (1 + i)[1 + (1 + i) + · · · + (1 + i)n−2
+ (1 + i)n−1
]
= (1 + i)
1 − (1 + i)n
1 − (1 + i)
= (1 + i)
1 − (1 + i)n
−i
= (1 + i)
(1 + i)n
− 1
i
=
(1 + i)n
− 1
d
Basic Relationship 1 : 1 = d · än + vn
Consider an n–year investment where 1 is invested at time 0.
28
32. The present value of this single payment income stream at t = 0 is 1.
Alternatively, consider a n–year investment where 1 is invested at time 0 and produces annual
interest payments of (1)·d at the beginning of each year and then have the 1 refunded at t = n.
0 1 2 ... n - 1 n
d d d ... d
1
The present value of this multiple payment income stream at t = 0 is d · än + (1)vn
.
Note that än =
1 − vn
d
→ 1 = d · än + vn
.
Therefore, the present value of both investment opportunities are equal.
Basic Relationship 2 : P V (1 + i)n
= F V and P V = F V · vn
– if the future value at time n, s̈n , is discounted back to time 0, then you will have its
present value, än
s̈n · vn
=
(1 + i)n
− 1
d
· vn
=
(1 + i)n
· vn
− vn
d
=
1 − vn
d
= än
29
33. – if the present value at time 0, än , is accumulated forward to time n, then you will have
its future value, s̈n
än · (1 + i)n
=
1 − vn
d
(1 + i)n
=
(1 + i)n
− vn
(1 + i)n
d
=
(1 + i)n
− 1
d
= s̈n
Basic Relationship 3 :
1
än
=
1
s̈n
+ d
Consider a loan of 1, to be paid back over n years with equal annual payments of P made
at the beginning of each year. An annual effective rate of interest, i, is used. The present
value of the single payment loan must be equal to the present value of the multiple payment
stream.
P · än i
= 1
P =
1
än i
Alternatively, consider a loan of 1, where the annual interest due on the loan, (1) · d, is paid
at the beginning of each year for n years and the loan amount is paid back at time n.
In order to produce the loan amount at time n, annual payments at the beginning of each
year, for n years, will be made into an account that credits interest at an annual effective
rate of interest i.
The future value of the multiple deposit income stream must equal the future value of the
single payment, which is the loan of 1.
D · s̈n i
= 1
D =
1
s̈n i
The total annual payment will be the interest payment and account payment:
d +
1
s̈n i
Note that
1
än i
=
d
1 − vn
×
(1 + i)n
(1 + i)n
=
d(1 + i)n
(1 + i)n − 1
=
d(1 + i)n
+ d − d
(1 + i)n − 1
=
d[(1 + i)n
− 1] + d
(1 + i)n − 1
= d +
d
(1 + i)n − 1
= d +
1
s̈n
30
34. Therefore, a level annual annuity payment is the same as making an annual interest payment
each year and making annual deposits in order to save for the loan repayment.
Basic Relationship 4: Due= Immediate ×(1 + i)
än =
1 − vn
d
=
1 − vn
i
· (1 + i) = an · (1 + i)
s̈n =
(1 + i)n
− 1
d
=
(1 + i)n
− 1
i
· (1 + i) = sn · (1 + i)
An annuity–due starts one period earlier than an annuity-immediate and as a result, earns
one more period of interest, hence it will be larger.
Basic Relationship 5 : än = 1 + an − 1
än = 1 + [v + v2
+ · · · + vn−2
+ vn−1
]
= 1 + v[1 + v + · · · + vn−3
+ vn−2
]
= 1 + v
1 − vn−1
1 − v
= 1 +
1
1 + i
1 − vn−1
d
= 1 +
1
1 + i
1 − vn−1
i/1 + i
= 1 +
1 − vn−1
i
= 1 + an − 1
This relationship can be visualized with a time line diagram.
0 1 2 ... n - 1 n
1 1 ... 1
an-1
1
+
An additional payment of 1 at time 0 results in an − 1 becoming n payments that now com-
mence at the beginning of each year which is än .
31
35. Basic Relationship 6 : sn = 1 + s̈n − 1
sn = 1 + [(1 + i) + (1 + i)2
+ · · · + (1 + i)n−2
+ (1 + i)n−1
]
= 1 + (1 + i)[1 + (1 + i) + · · · + (1 + i)n−3
+ (1 + i)n−2
]
= 1 + (1 + i)
1 − (1 + i)n−1
1 − (1 + i)
= 1 + (1 + i)
1 − (1 + i)n−1
−i
= 1 + (1 + i)
(1 + i)n−1
− 1
i
= 1 +
(1 + i)n−1
− 1
d
= 1 + s̈n − 1
This relationship can also the visualized with a time line diagram.
0 1 2 ... n - 1 n
1 1 ... 1 sn-1
1
+
..
An additional payment of 1 at time n results in s̈n − 1 becoming n payments that now
commerce at the end of each year which is sn
32
36. 3.4 Annuity Values On Any Date
– There are three alternative dates to valuing annuities rather than at the beginning of the
term (t = 0) or at the end of the term (t = n)
(i) present values more than one period before the first payment date
(ii) accumulated values more than one period after the last payment date
(iii) current value between the first and last payment dates
– The following example will be used to illustrate the above cases. Consider a series of payments
of 1 that are made at time t = 3 to t = 9, inclusive.
0 1 2 3 4 5 6 7 8 9 10 11 12
1 1 1 1 1 1 1
Present Values More than One Period Before The First Payment Date
At t = 2, there exists 7 future end-of-year payments whose present value is represented by
a7 . If this value is discounted back to time t = 0, then the value of this series of payments
(2 periods before the first end-of-year payment) is
v2
· a7 .
Alternatively, at t = 3, there exists 7 future beginning-of-year payments whose present value
is represented by ä7 . If this value is discounted back to time t = 0, then the value of this
series of payments (3 periods before the first beginning-of-year payment) is
v3
· ä7 .
Another way to examine this situation is to pretend that there are 9 end-of-year payments.
This can be done by adding 2 more payments to the existing 7. In this case, let the 2 addi-
tional payments be made at t = 1 and 2 and be denoted as 1 .
33
37. 0 1 2 3 4 5 6 7 8 9 10 11 12
1 1 1 1 1 1 1 1 1
At t = 0, there now exists 9 end-of-year payments whose present value is a9 . This present
value of 9 payments would then be reduced by the present value of the two imaginary pay-
ments, represented by a2 . Therefore, the present value at t = 0 is
a9 − a2 ,
and this results in
v2
· a7 = a9 − a2 .
The general form is
vm
· an = am + n − am .
34
38. With the annuity–due version, one can pretend that there are 10 payments being made.
This can be done by adding 3 payments to the existing 7 payments. In this case, let the 3
additional payments be made at t = 0, 1 and 2 and be denoted as 1 .
0 1 2 3 4 5 6 7 8 9 10 11 12
1 1 1 1 1 1 1 1 1 1
At t = 0, there now exists 10 beginning-of-year payments whose present value is ä10 . This
present value of 10 payments would then be reduced by the present value of the three imag-
inary payments, represented by ä3 . Therefore, the present value at t = 0 is
ä10 − ä3 ,
and this results in
v3
· ä7 = ä10 − ä3 .
The general form is
vm
· än = äm + n − äm .
Accumulated Values More Than One Period After The Last Payment Date
At t = 9, there exists 7 past end-of-year payments whose accumulated value is represented
by s7 . If this value is accumulated forward to time t = 12, then the value of this series of
payments (3 periods after the last end-of-year payment) is
s7 · (1 + i)3
.
Alternatively, at t = 10, there exists 7 past beginning-of-year payments whose accumulated
value is represented by s̈7 . If this value is accumulated forward to time t = 12, then the
value of this series of payments (2 periods after the last beginning-of-year payment) is
s̈7 · (1 + i)2
.
Another way to examine this situation is to pretend that there are 10 end-of-year payments.
This can be done by adding 3 more payments to the existing 7. In this case, let the 3 addi-
tional payments be made at t = 10, 11 and 12 and be denoted as 1 .
35
39. 0 1 2 3 4 5 6 7 8 9 10 11 12
1 1 1 1 1 1 1 1 1 1
At t = 12, there now exists 10 end-of-year payments whose present value is s10 . This future
value of 10 payments would then be reduced by the future value of the three imaginary
payments, represented by s3 . Therefore, the accumulated value at t = 12 is
s10 − s3 ,
and this results in
s7 · (1 + i)3
= s10 − s3 .
The general form is
sn · (1 + i)m
= sm + n − sm .
With the annuity–due version, one can pretend that there are 9 payments being made. This
can be done by adding 2 payments to the existing 7 payments. In this case, let the 2 addi-
tional payments be made at t = 10 and 11 and be denoted as 1 .
36
40. 0 1 2 3 4 5 6 7 8 9 10 11 12
1 1 1 1 1 1 1 1 1
At t = 12, there now exists 9 beginning-of-year payments whose accumulated value is s̈9 .
This future value of 9 payments would then be reduced by the future value of the two
imaginary payments, represented by s̈2 . Therefore, the accumulated value at t = 12 is
s̈9 − s̈2 ,
and this results in
s̈7 · (1 + i)2
= s̈9 − s̈2 .
The general form is
s̈n · (1 + i)m
= s̈m + n − s̈m .
37
41. Current Values Between The First And Last Payment Dates
The 7 payments can be represented by an annuity-immediate or by an annuity-due depending
on the time that they are evaluated at.
For example, at t= 2, the present value of the 7 end-of-year payments is a7 . At t= 9,
the future value of those same payments is s7 . There is a point between time 2 and 9 where
the present value and the future value can be accumulated to and discounted back, respec-
tively. At t = 6, for example, the present value would need to be accumulated forward 4
years, while the accumulated value would need to be discounted back 3 years.
a7 · (1 + i)4
= v3
· s7
The general form is
an · (1 + i)m
= v(n−m)
· sn
Alternatively, at t = 3, one can view the 7 payments as being paid at the beginning of the
year where the present value of the payments is ä7 . The future value at t = 10 would then
be s̈7 . At t = 6, for example, the present value would need to be accumulated forward 3
years, while the accumulated value would need to be discounted back 4 years.
ä7 · (1 + i)3
= v4
· s̈7 .
The general form is
än · (1 + i)m
= v(
n − m) · s̈n .
At any time during the payments, there will exists a series of past payments and a series of
future payments.
For example, at t= 6, one can define the past payments as 4 end-of-year payments whose
accumulated value is s4 . The 3 end-of-year future payments at t= 6 would then have a
present value (at t= 6) equal to a3 . Therefore, the current value as at t= 6 of the 7
payments is
s4 + a3 .
Alternatively, if the payments are viewed as beginning-of-year payments at t= 6, then there
are 3 past payments and 4 future payments whose accumulated value and present value are
respectively, s̈3 and ä4 . Therefore, the current value as at t= 6 of the 7 payments can also
be calculated as
s̈3 + ä4 .
This results in
s4 + a3 = s̈3 + ä4 .
The general form is
sm + an = s̈n + äm .
38
42. 3.5 Perpetuities
Definition Of A Perpetuity-Immediate
– payments of 1 are made at the end of every year forever i.e. n = ∞
– the present value (at t = 0) of a perpetuity–immediate, where the annual effective rate of
interest is i, shall be denoted as a∞ i and is calculated as follows:
a∞ i
= (1)v + (1)v2
+ (1)v3
+ · · ·
= v(1 + v + v2
+ · · ·)
=
1
1 + i
1 − v∞
1 − v
=
1
1 + i
1 − 0
d
=
1
1 + i
1
i
1+i
=
1
i
– one could also derive the above formula by simply substituting n = ∞ into the original
present value formula:
a∞ i =
1 − v∞
i
=
1 − 0
i
=
1
i
– Note that
1
i
represents an initial amount that can be invested at t = 0. The annual interest
payments, payable at the end of the year, produced by this investment is
1
i
· i = 1.
– s∞ is not defined since it would equal ∞
0 1 2 ... n ...
1 1 ... 1 ...
39
43. Basic Relationship 1 : an = a∞ − vn · a∞
The present value formula for an annuity-immediate can be expressed as the difference be-
tween two perpetuity-immediates:
an =
1 − vn
i
=
1
i
−
vn
i
=
1
i
− vn
·
1
i
= a∞ − vn
· a∞ .
In this case, a perpetuity-immediate that is payable forever is reduced by perpetuity-immediate
payments that start after n years. The present value of both of these income streams, at t
= 0, results in end-of-year payments remaining only for the first n years.
40
44. Definition Of A Perpetuity-Due
– payments of 1 are made at the beginning of every year forever i.e. n = ∞
0 1 2 ... n ...
1 1 1 ... 1 ...
– the present value (at t = 0) of a perpetuity–due, where the annual effective rate of interest
is i, shall be denoted as ä∞ i
and is calculated as follows:
ä∞ i = (1) + (1)v1
+ (1)v2
+ · · ·
=
1 − v∞
1 − v
=
1 − 0
d
=
1
d
– one could also derive the above formula by simply substituting n = ∞ into the original
present value formula:
ä∞ d
=
1 − v∞
d
=
1 − 0
d
=
1
d
– Note that
1
d
represents an initial amount that can be invested at t = 0. The annual interest
payments, payable at the beginning of the year, produced by this investment is
1
d
· d = 1.
– s̈∞ is not defined since it would equal ∞
41
45. Basic Relationship 1 : än = ä∞ − vn · ä∞
The present value formula for an annuity-due can be expressed as the difference between
two perpetuity-dues:
än =
1 − vn
d
=
1
d
−
vn
d
=
1
d
− vn
·
1
d
= ä∞ − vn
· ä∞ .
In this case, a perpetuity-due that is payable forever is reduced by perpetuity-due payments
that start after n years. The present value of both of these income streams, at t = 0, results
in beginning-of-year payments remaining only for the first n years.
3.6 Nonstandard Terms and Interest Rates
– material not tested in SoA Exam FM
3.7 Unknown Time
– When solving for n, you often will not get an integer value
– An adjustment to the payments can be made so that n does become an integer
– Example
How long will it take to payoff a $1000 loan if $100 is paid at the end of every year and the
annual effective rate of interest is 5%?
$1, 000 = $100 an 5%
n = 14.2067 (by financial calculator)
– This says that we need to pay $100 at the end of every year, for 14 years and then make a
$100 payment at the end of 14.2067 year? No!
– The payment required at time 14.2067 years is:
$1, 000 = $100 a14 5% + X · v14.2067
5%
X = $20.27
– Therefore, the last payment at 14.2067 will be $20.27 and is the exact payment.
42
46. • Question
– What if we wanted to pay off the loan in exactly 14 years?
• Solution
$1, 000 = $100 a14 5% + Y · v14
5%
Y = $20.07
– Therefore, the last payment will be $120.07 and is called a balloon payment.
– Note, that since we made the last payment 0.2067 years earlier than we had to, the extra
$20.07 is equal to the exact payment discounted back, Y = X · v.2067
5% .
• Question
– What if we wanted to make one last payment at the end of 15 years?
• Solution
$1, 000 = $100 a14 5% + Z · v15
5%
Z = $21.07
– Therefore, the last payment will be $21.07 and is called a drop payment.
– Note that since we delayed the payment one year, it is equal to the balloon payment with
interest, Z = Y · (1 + i).
– Note that since delayed the payment 0.7933 years, it is equal to the exact payment with
interest, Z = X · (1 + i)0.7933
.
3.8 Unknown Rate of Interest
– Assuming that you do not have a financial calculator
– This section will look at 3 approaches to solving for an unknown rate of interest when
an i = k.
1. Algebraic Techniques
– Note that an i = k = vi + v2
i + · · ·+ vn
i is an n degree polynomial and can be easily
solve if n is small
– When n gets too big, use a series expansion of an , or even better, 1/an i. Now you
are solving a quadratic formula.
an i = k = n −
n(n + 1)
2!
i +
n(n + 1)(n + 2)
3!
i2
− · · ·
1
an i
=
1
k
=
1
n
+
(n + 1)
2n
i +
(n2
− 1)
12n
i2
+ · · ·
43
47. 2. Linear Interpolation
– need to find the value of an at two different interest rates where an i1 = k1 k
and an i2 = k2 k.
–
an i1 = k1
an i = k
an i2 = k2
i ≈ i1 +
k1 − k
k1 − k2
(i2 − i1)
3. Successive Approximation (Iteration)
– considered the best way to go if no calculator and precision is really important
– there are two techniques that can be used
i. Solve for i
an i = k
1 − vn
i
i
= k
is+1 =
1 − (1 + is)−n
k
– What is a good starting value for i0 (s = 0)?
– one could use linear interpolation to find i0
– one could use the first two terms of 1
a n
and solve for i
1
k
=
1
n
+
n + 1
2n
i
i0 =
2(n − k)
k(n + 1)
– another approach to derive a starting value is to use
i0 =
1 −
k
n
2
k
ii. Newton-Raphson Method
– This method will see convergence very rapidly
–
is+1 = is −
f(is)
f(is)
44
48. – let
an i = k
an i − k = 0
1 − (1 + is)−n
i
− k = 0
f(is) = 1 − (1 + is)−n
− isk = 0
f
(is) = −(−n)(1 + is)−n−1
− k
∴ is+1 = is −
1 − (1 + is)−n
− isk
n(1 + is)−n−1 − k
= is
1 +
1 − (1 + is)−n
− k · is
1 − (1 + is)−n−1{1 + is(n + 1)}
What about sn i = k?
1. Algebraic Techniques
sn i = k = n +
n(n + 1)
2!
i +
n(n − 1)(n − 2)
3!
i2
− · · ·
1
sn i
=
1
k
=
1
n
−
(n − 1)
2n
i +
(n2
− 1)
12n
i2
+ · · ·
2. Linear Interpolation
sn i1 = k1
sn i = k
sn i2 = k2
i ≈ i1 +
k1 − k
k1 − k2
(i2 − i1)
3. Successive Approximation (Iteration)
– there are two techniques that can be used
i. Solve for i
sn i = k
(1 + i)n
− 1
i
= k
is+1 =
(1 + is)n
− 1
k
• What is a good starting value for i0 (s = 0)?
• one could use linear interpolation to find i0
45
49. • one could use the first two terms of 1
s n
and solve for i
1
k
=
1
n
−
n − 1
2n
i
i0 =
2(n − k)
k(n − 1)
• another approach to derive a starting value is to use
i0 =
k
n
2
− 1
k
ii. Newton-Raphson Method
–
is+1 = is −
f(is)
f(is)
– let
sn i = k
sn i − k = 0
(1 + is)n
− 1
i
− k = 0
f(is) = (1 + is)n
− 1 − isk = 0
f
(is) = n(1 + is)n−1
− k
∴ is+1 = is −
(1 + is)n
− 1 − isk
n(1 + is)n−1 − k
= is
1 +
(1 + is)n
− 1 − k · is
(1 + is)n−1{1 − is(n − 1)}
− 1
= is
1 +
(1 + is)n
− 1 − k · is
k · is − n · is(1 + is)−n−1
46
50. 3.9 Varying Interest
– if the annual effective rate of interest varies from one year to the next, i = ik, then the
present value and accumulated value of annuity payments needs to be calculated directly
– the varying rate of interest can be defined in one of two ways:
(i) effective rate of interest for period k, ik, is only used for period k
(ii) effective rate of interest for period k, ik, is used for all periods
If ik Is Only Used For Period k
A payment made during year k will need to be discounted or accumulated over each past or
future period at the interest rate that was in effect during that period.
The time line diagram below illustrates the varying interest rates for an annuity-immediate.
0 1 2 ... n - 1 n
1 1 ... 1 1
i1 i2 in-1 in
The present value of an annuity–immediate is determined as follows:
47
51. an =
1
1 + i1
+
1
1 + i1
·
1
1 + i2
+ · · · +
1
1 + i1
·
1
1 + i2
· · ·
1
1 + in
=
n
k=1
k
j=1
1
1 + ij
The accumulated value of an annuity–immediate is determined as follows:
sn = 1 + (1 + in) + (1 + in) · (1 + in−1) + · · · + (1 + in) · (1 + in−1) · · ·(1 + i2)
= 1 +
n−1
k=1
k
j=1
(1 + in−j+1)
The time line diagram below illustrates the varying interest rates for an annuity-due.
0 1 2 ... n - 1 n
1 1 1 ... 1
i1 i2 in-1 in
48
52. The present value of an annuity–due is determined as follows:
än = 1 +
1
1 + i1
+
1
1 + i1
·
1
1 + i2
+ · · · +
1
1 + i1
·
1
1 + i2
· · ·
1
1 + in−1
= 1 +
n−1
k=1
k
j=1
1
1 + ij
The accumulated value of an annuity–due is determined as follows:
s̈n = (1 + in) + (1 + in) · (1 + in−1) + · · · + (1 + in) · (1 + in−1) · · ·(1 + i1)
=
n
k=1
k
j=1
(1 + in−j+1)
– Note that the accumulated value of an annuity–immediate can also be solved by using the
above annuity–due formula and applying Basic Relationship 6 from Section 3.3: sn =
1 + s̈n − 1 .
– Note that the present value of an annuity–due can also be solved by using the above annuity–
immediate formula and applying Basic Relationship 5 from Section 3.3: än = 1 + an − 1 .
If ik Is Used For All Periods
A payment made during year k will be discounted or accumulated at the interest rate that
was in effect at the time of the payment. For example, if the interest rate during year 10 was
6%, then the payment made during year 10 will discounted back or accumulated forward at
6% for each year.
The present value of an annuity–immediate is an =
n
k=1
1
(1 + ik)
k
.
The accumulated value of an annuity–immediate is sn = 1 +
n−1
k=1
(1 + in−k)k
.
The present value of an annuity–due is än = 1 +
n−1
k=1
1
(1 + ik+1)
k
.
The accumulated value of an annuity–due is s̈n =
n
k=1
(1 + in−k+1)k
.
49
53. – Note that the accumulated value of an annuity–immediate can also be solved by using the
above annuity–due formula and applying Basic Relationship 6 from Section 3.3: sn =
1 + s̈n − 1 .
– Note that the present value of an annuity–due can also be solved by using the above annuity–
immediate formula and applying Basic Relationship 5 from Section 3.3: än = 1 + an − 1 .
3.10 Annuities Not Involving Compound Interest
– material not tested in SoA Exam FM
50
54. 4 More General Annuities
4.1 Introduction
– in Chapter 3, annuities were described as having level payments payable at the same frequency
as what the interest rate was being converted at
– in this chapter, non-level payments are examined as well as the case where the interest
conversion period and the payment frequency no longer coincide
4.2 Annuities Payable At A Different Frequency Than Interest Is Con-
vertible
– let the payments remain level for the time being
– when the interest conversion period does not coincide with the payment frequency, one can
take the given rate of interest and convert to an interest rate that does coincide
Example
Find the accumulated value in 10 years if semi-annual due payments of 100 are being made
into a fund that credits a nominal rate of interest at 10%, convertible semiannually.
F V10 = 100s̈10 × 12 j
Interest rate j will need to be a monthly rate and is calculated based on the semiannual rate
that was given:
j =
i(12)
12
=
1 +
i(2)
2
6 month rate
1/6
− 1 =
1 +
10%
2
1/6
− 1 = 0.8165%
Therefore, the accumulated value at time t = 10 is
F V10 = 100s̈120 0.8165%
= 20, 414.52
51
55. 4.3 Further Analysis of Annuities Payable Less Frequency Than Inter-
est Is Convertible
– material not tested in SoA Exam FM
Annuity–Immediate
– let i(k)
be a nominal rate of interest convertible k times a year and let there be level end-of-
year payments of 1
– after the first payment has been made, interest has been converted k times
– after the second payment has been made, interest has been converted 2k times
– after the last payment has been made, interest has been converted n times
– therefore, the term of the annuity (and obviously, the number of payments) will be
n
k
years
(i.e. if n = 144 and i(12)
is used, then the term of the annuity is
144
12
= 12 years).
– The time line diagram will detail the above scenario:
years 0 1 2 ... ... (n/k) - 1 n/k
1 1 ... ... 1 1
conversion
periods 0 k 2k ... ... n - k n
– the present value (at t = 0) of an annual annuity–immediate where payments are made every
52
56. k conversion periods and where the rate of interest is j =
i(k)
k
shall be calculated as follows:
P V0 = (1)v1
i + (1)v2
i + · · · + (1)v
n/k−1
i + (1)v
n/k
i
= (1)vk
j + (1)v2k
j + · · · + (1)vn−k
j + (1)vn
j
= vk
j
1 + vk
j + · · · + vn−2k
j + vn−k
j
= vk
j
1 − (vk
j )n/k
1 − vk
j
= vk
j
1 − vn
1 − vk
j
=
1
(1 + j)k
1 − vn
1 − vk
j
=
1 − vn
(1 + j)k − 1
·
j
j
=
an j
sk j
– There is an alternative approach in determining the present value of this annuity–immediate:
The payment of 1 made at the end of each year can represent the accumulated value of
smaller level end-of-conversion-period payments that are made k times during the year.
P · sk j
= 1
These smaller level payments are therefore equal to P =
1
sk j
. If these smaller payments
were to be made at the end of every conversion period, during the term of the annuity, and
there are n conversion periods in total, then the present value (at t = 0) of these n smaller
payments is determined to be
P V0 =
1
sk j
· an j .
– the accumulated value (at t = n/k years or t = n conversion periods) of an annual annuity–
immediate where payments are made every k conversion periods and where the rate of interest
53
57. is j =
i(k)
k
shall be calculated as follows:
F Vn
k
= 1 + (1)(1 + i)1
+ · · · + (1)(1 + i)
n
k −2
+ (1)(1 + i)
n
k −1
= 1 + (1)(1 + j)k
+ · · · + (1)(1 + j)n−2k
+ (1)(1 + j)n−k
=
1 − [(1 + j)k
]n/k
1 − (1 + j)k
=
1 − (1 + j)n
1 − (1 + j)k
=
(1 + j)n
− 1
(1 + j)k − 1
×
j
j
=
sn j
sk j
Another approach in determining the accumulated value would be to go back to a basic
relationship where a future value is equal to its present value carried forward with interest:
F Vn
k
= F Vn
= P V0 · (1 + j)n
=
an j
sk j
· (1 + j)n
=
sn j
sk j
54
58. The accumulated value can also be derived by again considering that each end-of-year pay-
ment of 1 represents the accumulated value of smaller level end-of-conversion-period payments
that are made k times during the year:
P · sk j
= 1
These smaller level payments are therefore equal to P =
1
sk j
. If these smaller payments are
made at the end of every conversion period, over the term of the annuity, and there are n
conversion periods in total, then the accumulated value (at t = n/k years or t = n conversion
periods) of these smaller payments is determined to be
F Vn
k
=
1
sk j
· sn j .
55
59. Annuity–Due
– let i(k)
be a nominal rate of interest convertible k times a year and let there be level beginning-
of-year payments of 1
– after the second payment has been made, interest has been converted k times
– after the third payment has been made, interest has been converted 2k times
– after the last payment has been made, interest has been converted n − k times
– therefore, the term of the annuity (and obviously, the number of payments) will be 1+
n − k
k
=
n
k
years (i.e. if n = 144 and i(12)
is used, then the term of the annuity is
144
12
= 12 years).
– The time line diagram will detail the above scenario:
years 0 1 2 ... ... (n/k) - 1 n/k
1 1 1 ... ... 1
conversion
periods 0 k 2k ... ... n - k n
– the present value (at t = 0) of an annual annuity–due where payments are made every k
conversion periods and where the rate of interest is j =
i(k)
k
shall be calculated as follows:
P V0 = 1 + (1)v1
i + (1)v2
i + · · · + (1)v
n/k−1
i
= 1 + (1)vk
j + (1)v2k
j + · · · + (1)vn−k
j
= 1 + vk
j + · · · + vn−2k
j + vn−k
j
=
1 − (vk
j )n/k
1 − vk
j
=
1 − vn
1 − vk
j
=
1 − vn
1 − vk
j
·
j
j
=
an j
ak j
56
60. – There is an alternative approach in determining the present value of this annuity–due:
The payment of 1 made at the beginning of each year can represent the present value of
smaller level end-of-conversion-period payments that are made k times during the year.
P · ak j
= 1
These smaller level payments are therefore equal to P =
1
ak j
. If these smaller payments
were to be made at the end of every conversion period, during the term of the annuity, and
there are n conversion periods in total, then the present value (at t = 0) of these n smaller
payments is determined to be
P V0 =
1
ak j
· an j .
– the accumulated value (at t = n/k years or t = n conversion periods) of an annual annuity–
due where payments are made every k conversion periods and where the rate of interest is
j =
i(k)
k
shall be calculated as follows:
F Vn
k
= (1)(1 + i)1
+ (1)(1 + i)2
+ · · · + (1)(1 + i)
n
k −1
+ (1)(1 + i)
n
k
= (1)(1 + j)k
+ (1)(1 + j)2k
+ · · · + (1)(1 + j)n−k
+ (1)(1 + j)n
= (1 + j)k
1 − [(1 + j)k
]n/k
1 − (1 + j)k
= (1 + j)k
1 − (1 + i)n
1 − (1 + j)k
=
1
vk
j
(1 + j)n
− 1
(1 + j)k − 1
=
(1 + j)n
− 1
1 − vk
j
×
j
j
=
sn j
ak j
Another approach in determining the accumulated value would be to go back to a basic
relationship where a future value is equal to its present value carried forward with interest:
F Vn
k
= F Vn
= P V0 · (1 + j)n
=
an j
ak j
· (1 + j)n
=
sn j
ak j
57
61. The accumulated value can also be derived by again considering that each beginning-of-year
payment of 1 represents the present value of smaller level end-of-conversion-period payments
that are made k times during the year:
P · ak j
= 1
These smaller level payments are therefore equal to P =
1
ak j
. If these smaller payments are
made at the end of every conversion period, over the term of the annuity, and there are n
conversion periods in total, then the accumulated value (at t = n/k years or t = n conversion
periods) of these smaller payments is determined to be
F Vn
k
=
1
ak j
· sn j .
58
62. Other Considerations
Perpetuity–Immediate
– a perpetuity–immediate with annual end-of-year payments of 1 and where the nominal cred-
ited interest rate is convertible more frequently than annually, can be illustrated as:
years 0 1 2 ... ... n ...
1 1 ... ... 1 ...
conversion
periods 0 k 2k ... ... n x k ...
– the present value (at t = 0) of an annual perpetuity–immediate where payments are made
every k conversion periods and where the rate of interest is j =
i(k)
k
shall be calculated as
follows:
P V0 = (1)v1
i + (1)v2
i + (1)v3
i + · · ·
= (1)vk
j + (1)v2k
j + (1)v3k
j + · · ·
= vk
j (1 + vk
j + v2k
j + v3k
j + · · ·)
= vk
j
1 − (vk
)∞
1 − vk
j
= vk
j
1 − 0
1 − vk
j
=
1
(1 + j)k
1
1 − vk
j
=
1
(1 + j)k − 1
·
j
j
=
1
j · sk j
– one could also derive the above formula by simply substituting n = ∞ into the original
present value formula
P V0 =
a∞ j
sk j
=
1
j
×
1
sk j
59
63. Perpetuity–Due
– a perpetuity–due with annual beginning-of-year payments of 1 and where the nominal cred-
ited interest rate is convertible more frequently than annually, can be illustrated as:
years 0 1 2 ... ... n ...
1 1 1 ... ... 1 ...
conversion
periods 0 k 2k ... ... n x k ...
– the present value (at t = 0) of an annual perpetuity–due where payments are made every k
conversion periods and where the rate of interest is j =
i(k)
k
shall be calculated as follows:
P V0 = 1 + (1)v1
i + (1)v2
i + (1)v3
i + · · ·
= 1 + (1)vk
j + (1)v2k
j + (1)v3k
j + · · ·
= 1 + vk
j + v2k
j + v3k
j + · · ·
=
1 − (vk
)∞
1 − vk
j
=
1 − 0
1 − vk
j
=
1
1 − vk
j
·
j
j
=
1
j · ak j
– one could also derive the above formula by simply substituting n = ∞ into the original
present value formula
P V0 =
a∞ j
ak j
=
1
j
×
1
ak j
60
64. Interest Is Convertible Continuously: i(∞)
= δ
– the problem under this situation is that k is infinite (so is the total number of conversion
periods over the term). Therefore, the prior formulas will not work.
– for example, the present value (at t = 0) of an annuity–immediate where payments of 1
12 are
made every month for n years (or 12n periods) and where the annual force of interest is δ
can be calculated as follows:
P V0 =(
1
12
)v
1
12
i + (
1
12
)v
2
12
i + · · · + (
1
12
)v
11
12
i + (
1
12
)v
12
12
i (1st year)
+(
1
12
)v
13
12
i + (
1
12
)v
14
12
i + · · · + (
1
12
)v
23
12
i + (
1
12
)v
24
12
i (2nd year)
.
.
.
+(
1
12
)v
12(n−1)+1
12
i + (
1
12
)v
12(n−1)+2
12
i + · · · + (
1
12
)v
12n−1
12
i + (
1
12
)v
12n
12
i (last year)
=(
1
12
)v
1
12
i
1 + v
1
12
i + · · · + v
10
12
i + v
11
12
i
(1st year)
+(
1
12
)v
13
12
i
1 + v
1
12
i + · · · + v
10
12
i + v
11
12
i
(2nd year)
.
.
.
+(
1
12
)v
12(n−1)+1
12
i
1 + v
1
12
i + · · · + v
10
12
i + v
11
12
i
(last year)
=
(
1
12
)v
1
12
i + (
1
12
)v
13
12
i + · · · + (
1
12
)v
12(n−1)+1
12 )
i
1 + v
1
12
i + · · · + v
10
12
i + v
11
12
i
=(
1
12
)v
1
12
i
1 + v
12
12
i + · · · + v
(n−1)
i
1 − (v
1
12
i )12
1 − v
1
12
i
=(
1
12
)
1
(1 + i)
1
12
1 − vn
i
1 − v1
i
·
1 − v1
i
1 − v
1
12
i
=(
1
12
)
1
(1 + i)
1
12
1 − vn
i
1 − v
1
12
i
=(
1
12
)
1 − vn
i
(1 + i)
1
12 − 1
×
i
i
=(
1
12
)
i
(1 + i)
1
12 − 1
× an i
= (
1
12
)
1 + i(12)
12
12
− 1
i(12)
12
× an i
=
(
1
12
) · s12 i(12)
12
× an i
=
(
1
12
) · s12
i(12)
12
=e
δ
12 −1
× an i=eδ −1
– in this case, the monthly payments for each year are converted to end-of-year lump sums that
are discounted back to t = 0 at an annual effective rate of interest, i, which was converted
from δ.
61
65. 4.4 Further Analysis of Annuities Payable More Frequency Than In-
terest Is Convertible
Annuity–Immediate
– payments of 1
m are made at the end of every 1
m th of year for the next n years
– the present value (at t = 0) of an mth
ly annuity–immediate, where the annual effective rate
of interest is i, shall be denoted as a
(m)
n i
and is calculated as follows:
a
(m)
n i
=(
1
m
)v
1
m
i + (
1
m
)v
2
m
i + · · · + (
1
m
)v
m−1
m
i + (
1
m
)v
m
m
i (1st year)
+(
1
m
)v
m+1
m
i + (
1
m
)v
m+2
m
i + · · · + (
1
m
)v
2m−1
m
i + (
1
m
)v
2m
m
i (2nd year)
.
.
.
+(
1
m
)v
(n−1)m+1
m
i + (
1
m
)v
(n−1)m+2
m
i + · · · + (
1
m
)v
nm−1
m
i + (
1
m
)v
nm
m
i (last year)
=(
1
m
)v
1
m
i
1 + v
1
m
i + · · · + v
m−2
m
i + v
m−1
m
i
(1st year)
+(
1
m
)v
m+1
m
i
1 + v
1
m
i + · · · + v
m−2
m
i + v
m−1
m
i
(2nd year)
.
.
.
+(
1
m
)v
(n−1)m+1
m
i
1 + v
1
m
i + · · · + v
m−2
m
i + v
m−1
m
i
(last year)
=
(
1
m
)v
1
m
i + (
1
m
)v
m+1
m
i + · · · + (
1
m
)v
(n−1)m+1
m )
i
1 + v
1
m
i + · · · + v
m−2
m
i + v
m−1
m
i
=(
1
m
)v
1
m
i
1 + v
m
m
i + · · · + v
(n−1)
i
1 − (v
1
m
i )m
1 − v
1
m
i
=(
1
m
)
1
(1 + i)
1
m
1 − vn
i
1 − v1
i
·
1 − v1
i
1 − v
1
m
i
=(
1
m
)
1
(1 + i)
1
m
1 − vn
i
1 − v
1
m
i
=(
1
m
)
1 − vn
i
(1 + i)
1
m − 1
=
1 − vn
i
m
(1 + i)
1
m − 1
=
1 − vn
i
i(m)
=
1
m
× m
·
1 − vn
i
i(m)
62
66. – the accumulated value (at t = n) of an mth
ly annuity–immediate, where the annual effective
rate of interest is i, shall be denoted as s
(m)
n i
and is calculated as follows:
s
(m)
n i
=(
1
m
) + (
1
m
)(1 + i)
1
m + · · · + (
1
m
)(1 + i)
m−2
m + (
1
m
)(1 + i)
m−1
m (last year)
+(
1
m
)(1 + i)
m
m + (
1
m
)(1 + i)
m+1
m + · · · + (
1
m
)(1 + i)
2m−2
m + (
1
m
)(1 + i)
2m−1
m (2nd last year)
.
.
.
+(
1
m
)(1 + i)
(n−1)m
m + (
1
m
)(1 + i)
(n−1)m+1
m + · · · + (
1
m
)(1 + i)
nm−2
m + (
1
m
)(1 + i)
nm−1
m (first year)
=(
1
m
)
1 + (1 + i)
1
m + · · · + (1 + i)
m−2
m + (1 + i)
m−1
m
(last year)
+(
1
m
)(1 + i)
m
m
1 + (1 + i)
1
m + · · · + (1 + i)
m−2
m + (1 + i)
m−1
m
(2nd last year)
.
.
.
+(
1
m
)(1 + i)
(n−1)m
m
1 + (1 + i)
1
m + · · · + (1 + i)
m−2
m + (1 + i)
m−1
m
(first year)
=
(
1
m
) + (
1
m
)(1 + i)
m
m + · · · + (
1
m
)(1 + i)
(n−1)m
m )
1 + (1 + i)
1
m + · · · + (1 + i)
m−2
m + (1 + i)
m−1
m
=(
1
m
)
1 + (1 + i)
m
m + · · · + (1 + i)(n−1)
1 − ((1 + i)
1
m )m
1 − (1 + i)
1
m
=(
1
m
)
1 − (1 + i)n
1 − (1 + i)1
·
1 − (1 + i)1
1 − (1 + i)
1
m
=(
1
m
)
1 − (1 + i)n
1 − (1 + i)
1
m
=
(1 + i)n
− 1
m
(1 + i)
1
m − 1
=
(1 + i)n
− 1
i(m)
=
1
m
× m
·
(1 + i)n
− 1
i(m)
63
67. Basic Relationship 1 : 1 = i(m)
· a
(m)
n + vn
Basic Relationship 2 : P V (1 + i)n
= F V and P V = F V · vn
– if the future value at time n, s
(m)
n , is discounted back to time 0, then you will have its
present value, a
(m)
n
s
(m)
n · vn
=
(1 + i)n
− 1
i(m)
· vn
=
(1 + i)n
· vn
− vn
i(m)
=
1 − vn
i(m)
= a
(m)
n
– if the present value at time 0, a
(m)
n , is accumulated forward to time n, then you will
have its future value, s
(m)
n
a
(m)
n · (1 + i)n
=
1 − vn
i(m)
(1 + i)n
=
(1 + i)n
− vn
(1 + i)n
i(m)
=
(1 + i)n
− 1
i(m)
= s
(m)
n
Basic Relationship 3 :
1
m × a
(m)
n
=
1
m × s
(m)
n
+
i(m)
m
– Consider a loan of 1, to be paid back over n years with equal mth
ly payments of P made
at the end of each mth
of a year. An annual effective rate of interest, i, and nominal
rate of interest, i(m)
, is used. The present value of this single payment loan must be
equal to the present value of the multiple payment income stream.
(P × m) · a
(m)
n i
= 1
P =
1
m × a
(m)
n i
– Alternatively, consider a loan of 1, where the mth
ly interest due on the loan, (1) × i(m)
m ,
is paid at the end of each mth
of a year for n years and the loan amount is paid back
at time n.
– In order to produce the loan amount at time n, payments of D at the end of each mth
of a year, for n years, will be made into an account that credits interest at an mth
ly
rate of interest i(m)
m .
64
68. – The future value of the multiple deposit income stream must equal the future value of
the single payment, which is the loan of 1.
(D × m) · s
(m)
n i
= 1
D =
1
m × s
(m)
n i
– The total mth
ly payment will be the interest payment and account payment:
i(m)
m
+
1
m × s
(m)
n i
– Note that
1
a
(m)
n i
=
i(m)
1 − vn
×
(1 + i)n
(1 + i)n
=
i(m)
(1 + i)n
(1 + i)n − 1
=
i(m)
(1 + i)n
+ i(m)
− i(m)
(1 + i)n − 1
=
i(m)
[(1 + i)n
− 1] + i(m)
(1 + i)n − 1
= i(m)
+
i(m)
(1 + i)n − 1
= i(m)
+
1
s
(m)
n
– Therefore, a level mth
ly annuity payment on a loan is the same as making an mth
ly
interest payment each mth
of a year plus making mth
ly deposits in order to save for the
loan repayment.
Basic Relationship 4 : a
(m)
n =
i
i(m)
· an , s
(m)
n =
i
i(m)
· sn
– Consider payments of 1
m
made at the end of every 1
m
th of year for the next n years. Over
a one-year period, payments of 1
m
made at the end of each mth
period will accumulate
at the end of the year to a lump sum of
1
m × m
· s
(m)
1
. If this end-of-year lump sum
exists for each year of the n-year annuity-immediate, then the present value (at t = 0)
of these end-of-year lump sums is the same as
1
m × m
· a
(m)
n :
1
m
× m
· a
(m)
n =
1
m
× m
· s
(m)
1
· an
a
(m)
n =
i
i(m)
· an
– Therefore, the accumulated value (at t = n) of these end-of-year lump sums is the same
as
1
m × m
· s
(m)
n :
1
m
× m
· s
(m)
n =
1
m
× m
· s
(m)
1
· sn
s
(m)
n =
i
i(m)
· sn
65
69. Annuity–Due
– payments of 1
m
are made at the beginning of every 1
m
th of year for the next n years
– the present value (at t = 0) of an mth
ly annuity–due, where the annual effective rate of
interest is i, shall be denoted as ä
(m)
n i
and is calculated as follows:
ä
(m)
n i
=(
1
m
) + (
1
m
)v
1
m
i + · · · + (
1
m
)v
m−2
m
i + (
1
m
)v
m−1
m
i (1st year)
+(
1
m
)v
m
m
i + (
1
m
)v
m+1
m
i + · · · + (
1
m
)v
2m−2
m
i + (
1
m
)v
2m−1
m
i (2nd year)
.
.
.
+(
1
m
)v
(n−1)m
m
i + (
1
m
)v
(n−1)m+1
m
i + · · · + (
1
m
)v
nm−2
m
i + (
1
m
)v
nm−1
m
i (last year)
=(
1
m
)
1 + v
1
m
i + · · · + v
m−2
m
i + v
m−1
m
i
(1st year)
+(
1
m
)v
m
m
i
1 + v
1
m
i + · · · + v
m−2
m
i + v
m−1
m
i
(2nd year)
.
.
.
+(
1
m
)v
(n−1)m
m
i
1 + v
1
m
i + · · · + v
m−2
m
i + v
m−1
m
i
(last year)
=
(
1
m
) + (
1
m
)v
m
m
i + · · · + (
1
m
)v
(n−1)m
m )
i
1 + v
1
m
i + · · · + v
m−2
m
i + v
m−1
m
i
=(
1
m
)
1 + v
m
m
i + · · · + v
(n−1)
i
1 − (v
1
m
i )m
1 − v
1
m
i
=(
1
m
)
1 − vn
i
1 − v1
i
·
1 − v1
i
1 − v
1
m
i
=(
1
m
)
1 − vn
i
1 − v
1
m
i
=(
1
m
)
1 − vn
i
1 − (1 − d)
1
m
=
1 − vn
i
m
1 − (1 − d)
1
m
=
1 − vn
i
d(m)
=
1
m
× m
·
1 − vn
i
d(m)
66
70. – the accumulated value (at t = n) of an mth
ly annuity–due, where the annual effective rate
of interest is i, shall be denoted as s̈
(m)
n i
and is calculated as follows:
s̈
(m)
n i
=(
1
m
)(1 + i)
1
m + (
1
m
)(1 + i)
2
m + · · · + (
1
m
)(1 + i)
m−1
m + (
1
m
)(1 + i)
m
m (last year)
+(
1
m
)(1 + i)
m+1
m + (
1
m
)(1 + i)
m+2
m + · · · + (
1
m
)(1 + i)
2m−1
m + (
1
m
)(1 + i)
2m
m (2nd last year)
.
.
.
+(
1
m
)(1 + i)
(n−1)m+1
m + (
1
m
)(1 + i)
(n−1)m+2
m + · · · + (
1
m
)(1 + i)
nm−1
m + (
1
m
)(1 + i)
nm
m (first year)
=(
1
m
)(1 + i)
1
m
1 + (1 + i)
1
m + · · · + (1 + i)
m−2
m + (1 + i)
m−1
m
(last year)
+(
1
m
)(1 + i)
m+1
m
1 + (1 + i)
1
m + · · · + (1 + i)
m−2
m + (1 + i)
m−1
m
(2nd last year)
.
.
.
+(
1
m
)(1 + i)
(n−1)m+1
m
1 + (1 + i)
1
m + · · · + (1 + i)
m−2
m + (1 + i)
m−1
m
(first year)
=
(
1
m
)(1 + i)
1
m + (
1
m
)(1 + i)
m+1
m + · · · + (
1
m
)(1 + i)
(n−1)m+1
m )
1 − ((1 + i)
1
m )m
1 − (1 + i)
1
m
=(
1
m
)(1 + i)
1
m
1 + (1 + i)
m
m + · · · + (1 + i)(n−1)
1 − ((1 + i)
1
m )m
1 − (1 + i)
1
m
=(
1
m
)(1 + i)
1
m
1 − (1 + i)n
1 − (1 + i)1
·
1 − (1 + i)1
1 − (1 + i)
1
m
=(
1
m
)(1 + i)
1
m
1 − (1 + i)n
1 − (1 + i)
1
m
=
(1 + i)n
− 1
m · v
1
m
i
(1 + i)
1
m − 1
=
(1 + i)n
− 1
m
1 − v
1
m
i
=
(1 + i)n
− 1
m
1 − (1 − d)
1
m
=
(1 + i)n
− 1
d(m)
=
1
m
× m
·
(1 + i)n
− 1
d(m)
67
71. Basic Relationship 1 : 1 = d(m)
· ä
(m)
n + vn
Basic Relationship 2 : P V (1 + i)n
= F V and P V = F V · vn
– if the future value at time n, s̈
(m)
n , is discounted back to time 0, then you will have its
present value, ä
(m)
n
s̈
(m)
n · vn
=
(1 + i)n
− 1
d(m)
· vn
=
(1 + i)n
· vn
− vn
d(m)
=
1 − vn
d(m)
= ä
(m)
n
– if the present value at time 0, ä
(m)
n , is accumulated forward to time n, then you will
have its future value, s̈
(m)
n
ä
(m)
n · (1 + i)n
=
1 − vn
d(m)
(1 + i)n
=
(1 + i)n
− vn
(1 + i)n
d(m)
=
(1 + i)n
− 1
d(m)
= s̈
(m)
n
Basic Relationship 3 :
1
m × ä
(m)
n
=
1
m × s̈
(m)
n
+
d(m)
m
– Consider a loan of 1, to be paid back over n years with equal mth
ly payments of P
made at the beginning of each mth
of a year. An annual effective rate of interest, i, and
nominal rate of discount, d(m)
, is used. The present value of this single payment loan
must be equal to the present value of the multiple payment income stream.
(P × m) · ä
(m)
n i
= 1
P =
1
m × ä
(m)
n i
– Alternatively, consider a loan of 1, where the mth
ly discount due on the loan, (1)× d(m)
m ,
is paid at the beginning of each mth
of a year for n years and the loan amount is paid
back at time n.
– In order to produce the loan amount at time n, payments of D at the beginning of each
mth
of a year, for n years, will be made into an account that credits interest at an mth
ly
rate of discount d(m)
m .
68
72. – The future value of the multiple deposit income stream must equal the future value of
the single payment, which is the loan of 1.
(D × m) · s̈
(m)
n i
= 1
D =
1
m × s̈
(m)
n i
– The total mth
ly payment will be the discount payment and account payment:
d(m)
m
+
1
m × s̈
(m)
n i
– Note that
1
ä
(m)
n i
=
d(m)
1 − vn
×
(1 + i)n
(1 + i)n
=
d(m)
(1 + i)n
(1 + i)n − 1
=
d(m)
(1 + i)n
+ d(m)
− d(m)
(1 + i)n − 1
=
d(m)
[(1 + i)n
− 1] + d(m)
(1 + i)n − 1
= i(m)
+
d(m)
(1 + i)n − 1
= d(m)
+
1
s̈
(m)
n
– Therefore, a level mth
ly annuity payment on a loan is the same as making an mth
ly
discount payment each mth
of a year plus making mth
ly deposits in order to save for
the loan repayment.
Basic Relationship 4 : ä
(m)
n =
d
d(m)
· än , s̈
(m)
n =
d
d(m)
· s̈n
– Consider payments of 1
m
made at the beginning of every 1
m
th of year for the next n
years. Over a one-year period, payments of 1
m made at the beginning of each mth
period
will accumulate at the end of the year to a lump sum of
1
m × m
· s̈
(m)
1
. If this end-of-
year lump sum exists for each year of the n-year annuity-immediate, then the present
value (at t = 0) of these end-of-year lump sums is the same as
1
m
× m
· ä
(m)
n :
1
m
× m
· ä
(m)
n =
1
m
× m
· s̈
(m)
1
· an
ä
(m)
n =
i
d(m)
· an
– Therefore, the accumulated value (at t = n) of these end-of-year lump sums is the same
as
1
m
× m
· s̈
(m)
n :
1
m
× m
· s̈
(m)
n =
1
m
× m
· s̈
(m)
1
· sn
s̈
(m)
n =
i
i(m)
· sn
69
73. Basic Relationship 5: Due= Immediate ×(1 + i)
1
m
ä
(m)
n =
1 − vn
d(m)
=
1 − vn
i(m)
1+ i(m)
m
= a
(m)
n ·
1 +
i(m)
m
= a
(m)
n · (1 + i)
1
m
s̈
(m)
n =
(1 + i)n
− 1
d(m)
=
(1 + i)n
− 1
i(m)
1+ i(m)
m
= s
(m)
n ·
1 +
i(m)
m
= s
(m)
n · (1 + i)
1
m
An mth
ly annuity–due starts one mth
of a year earlier than an mth
ly annuity-immediate and
as a result, earns one mth
of a year more interest, hence it will be larger.
Basic Relationship 6 : ä
(m)
n =
1
m
+ a
(m)
n − 1
m
ä
(m)
n = (
1
m
) +
(
1
m
)v
1
m + · · · + (
1
m
)v
nm−2
m + (
1
m
)v
nm−1
m
= (
1
m
) + (
1
m
)v
1
m
1 + v
1
m + · · · + v
nm−3
m + v
nm−2
m
= (
1
m
) + (
1
m
)v
1
m
1 −
v
1
m
nm−1
1 − v
1
m
= (
1
m
) +
1
m(1 + i)
1
m
1 − vn− 1
m
1 − v
1
m
= (
1
m
) +
1 − vn− 1
m
m
(1 + i)
1
m − 1
= (
1
m
) +
1 − vn− 1
m
m · i(m)
m
=
1
m
+
1 − vn− 1
m
i(m)
=
1
m
+ a
(m)
n − 1
m
An additional payment of 1
m
at time 0 results in a
(m)
n − 1
m
becoming nm (= nm − 1 + 1)
payments that now commence at the beginning of each mth
of a year which is ä
(m)
n .
70
74. Basic Relationship 7 : s
(m)
n =
1
m
+ s̈
(m)
n − 1
m
s
(m)
n = (
1
m
) +
(
1
m
)(1 + i)
1
m + · · · + (
1
m
)(1 + i)
nm−2
m + (
1
m
)(1 + i)
nm−1
m
= (
1
m
) + (
1
m
)(1 + i)
1
m
1 + (1 + i)
1
m + · · · + (1 + i)
nm−3
m + (1 + i)
nm−2
m
= (
1
m
) + (
1
m
)(1 + i)
1
m
1 −
(1 + i)
1
m
nm−1
1 − (1 + i)
1
m
= (
1
m
) +
1
m · v
1
m
1 − (1 + i)n− 1
m
1 − (1 + i)
1
m
= (
1
m
) +
1 − (1 + i)n− 1
m
m
v
1
m − 1
= (
1
m
) +
(1 + i)n− 1
m − 1
m
1 − v
1
m
= (
1
m
) +
(1 + i)n− 1
m − 1
m
1 − (1 − d)
1
m
= (
1
m
) +
(1 + i)n− 1
m − 1
m · d(m)
m
=
1
m
+
(1 + i)n− 1
m − 1
d(m)
=
1
m
+ s̈
(m)
n − 1
m
An additional payment of 1
m
at time n results in s̈
(m)
n − 1
m
becoming nm (= nm − 1 + 1)
payments that now commerce at the end of each mth
of a year which is s
(m)
n .
71
75. Other Considerations
Perpetuity–Immediate
– payments of 1
m are made at the end of every 1
m th of year forever.
years 0 1 2 ... ... n ...
conversion
periods 0 k 2k ... ... n x k ...
1
m m m
m m m m m m m m m m m
1 1 1 1 1 1 1 1 1
1
1
1
1
– the present value (at t = 0) of an mth
ly perpetuity–immediate, where the annual effective
72
76. rate of interest is i, shall be denoted as a
(m)
∞ i
and is calculated as follows:
a
(m)
∞ i
=(
1
m
)v
1
m
i + (
1
m
)v
2
m
i + · · · + (
1
m
)v
m−1
m
i + (
1
m
)v
m
m
i (1st year)
+(
1
m
)v
m+1
m
i + (
1
m
)v
m+2
m
i + · · · + (
1
m
)v
2m−1
m
i + (
1
m
)v
2m
m
i (2nd year)
.
.
.
+(
1
m
)v
(n−1)m+1
m
i + (
1
m
)v
(n−1)m+2
m
i + · · · + (
1
m
)v
nm−1
m
i + (
1
m
)v
nm
m
i (nth year)
.
.
.
=(
1
m
)v
1
m
i
1 + v
1
m
i + · · · + v
m−2
m
i + v
m−1
m
i
(1st year)
+(
1
m
)v
m+1
m
i
1 + v
1
m
i + · · · + v
m−2
m
i + v
m−1
m
i
(2nd year)
.
.
.
+(
1
m
)v
(n−1)m+1
m
i
1 + v
1
m
i + · · · + v
m−2
m
i + v
m−1
m
i
(nth year)
.
.
.
=
(
1
m
)v
1
m
i + (
1
m
)v
m+1
m
i + · · · + (
1
m
)v
(n−1)m+1
m )
i + · · ·
1 + v
1
m
i + · · · + v
m−2
m
i + v
m−1
m
i
=(
1
m
)v
1
m
i
1 + v
m
m
i + · · · + v
(n−1)
i + · · ·
1 − (v
1
m
i )m
1 − v
1
m
i
=(
1
m
)
1
(1 + i)
1
m
1 − v∞
i
1 − v1
i
·
1 − v1
i
1 − v
1
m
i
=(
1
m
)
1
(1 + i)
1
m
1 − 0
1 − v
1
m
i
=(
1
m
)
1
(1 + i)
1
m − 1
=
1
m
(1 + i)
1
m − 1
=
1
i(m)
=
1
m
× m
·
1
i(m)
– one could also derive the above formula by simply substituting n = ∞ into the original
present value formula:
a
(m)
∞ i
=
1 − v∞
i(m)
=
1 − 0
i(m)
=
1
i(m)
73
77. Perpetuity–Due
– payments of 1
m
are made at the beginning of every 1
m
th of year forever.
years 0 1 2 ... ... n ...
conversion
periods 0 k 2k ... ... n x k ...
1
m m m
m m m m m m m m m m
1 1 1 1 1 1 1 1 1
1
1
1
m
1
– the present value (at t = 0) of an mth
ly perpetuity–due, where the annual effective rate of
74
78. interest is i, shall be denoted as ä
(m)
∞ i
and is calculated as follows:
ä
(m)
∞ i
=(
1
m
) + (
1
m
)v
1
m
i + · · · + (
1
m
)v
m−2
m
i + (
1
m
)v
m−1
m
i (1st year)
+(
1
m
)v
m
m
i + (
1
m
)v
m+1
m
i + · · · + (
1
m
)v
2m−2
m
i + (
1
m
)v
2m−1
m
i (2nd year)
.
.
.
+(
1
m
)v
(n−1)m
m
i + (
1
m
)v
(n−1)m+1
m
i + · · · + (
1
m
)v
nm−2
m
i + (
1
m
)v
nm−1
m
i (nth year)
.
.
.
=(
1
m
)
1 + v
1
m
i + · · · + v
m−2
m
i + v
m−1
m
i
(1st year)
+(
1
m
)v
m
m
i
1 + v
1
m
i + · · · + v
m−2
m
i + v
m−1
m
i
(2nd year)
.
.
.
+(
1
m
)v
(n−1)m
m
i
1 + v
1
m
i + · · · + v
m−2
m
i + v
m−1
m
i
(nth year)
.
.
.
=
(
1
m
) + (
1
m
)v
m
m
i + · · · + (
1
m
)v
(n−1)m
m )
i + · · ·
1 + v
1
m
i + · · · + v
m−2
m
i + v
m−1
m
i
=(
1
m
)
1 + v
m
m
i + · · · + v
(n−1)
i + · · ·
1 − (v
1
m
i )m
1 − v
1
m
i
=(
1
m
)
1 − v∞
i
1 − v1
i
·
1 − v1
i
1 − v
1
m
i
=(
1
m
)
1 − 0
1 − v
1
m
i
=(
1
m
)
1
1 − (1 − d)
1
m
=
1
m
1 − (1 − d)
1
m
=
1
d(m)
=
1
m
× m
·
1
d(m)
– one could also derive the above formula by simply substituting n = ∞ into the original
present value formula:
ä
(m)
∞ i
=
1 − v∞
d(m)
=
1 − 0
d(m)
=
1
d(m)
75
79. 4.5 Continuous Annuities
– payments are made continuously every year for the next n years (i.e. m = ∞)
– the present value (at t = 0) of a continuous annuity, where the annual effective rate of interest
is i, shall be denoted as ān i and is calculated as follows:
ān i =
n
0
vt
dt
=
n
0
e−δt
dt
= −
1
δ
e−δt
n
0
= −
1
δ
e−δn
− e−δ0
=
1
δ
1 − e−δn
=
1 − vn
i
δ
– one could also derive the above formula by simply substituting m = ∞ into one of the original
mth
ly present value formulas:
ān i =a
(∞)
n i
=
1 − vn
i
i(∞)
=
1 − vn
i
δ
=ä
(∞)
n i
=
1 − vn
i
d(∞)
=
1 − vn
i
δ
– the accumulated value (at t = n) of a continuous annuity, where the annual effective rate of
interest is i, shall be denoted as s̄n i and is calculated as follows:
s̄n i =
n
0
(1 + i)n−t
dt
=
n
0
(1 + i)t
dt
=
n
0
eδt
dt
=
1
δ
eδt
dt
n
0
=
1
δ
eδn
− eδ0
=
(1 + i)n
− 1
δ
76
80. Basic Relationship 1 : 1 = δ · ān + vn
Basic Relationship 2 : P V (1 + i)n
= F V and P V = F V · vn
– if the future value at time n, s̄n , is discounted back to time 0, then you will have its
present value, ān
s̄n · vn
=
(1 + i)n
− 1
δ
· vn
=
(1 + i)n
· vn
− vn
δ
=
1 − vn
δ
=ān
– if the present value at time 0, ān , is accumulated forward to time n, then you will have
its future value, s̄n
ān · (1 + i)n
=
1 − vn
δ
(1 + i)n
=
(1 + i)n
− vn
(1 + i)n
δ
=
(1 + i)n
− 1
δ
=s̄n
Basic Relationship 3 :
1
ān
=
1
s̄n
+ δ
– Consider a loan of 1, to be paid back over n years with annual payments of P that are
paid continuously each year, for the next n years. An annual effective rate of interest,
i, and annual force of interest, δ, is used. The present value of this single payment loan
must be equal to the present value of the multiple payment income stream.
P · ān i = 1
P =
1
ān i
– Alternatively, consider a loan of 1, where the annual interest due on the loan, (1) × δ, is
paid continuously during the year for n years and the loan amount is paid back at time
n.
– In order to produce the loan amount at time n, annual payments of D are paid continu-
ously each year, for the next n years, into an account that credits interest at an annual
force of interest, δ.
77
81. – The future value of the multiple deposit income stream must equal the future value of
the single payment, which is the loan of 1.
D · s̄n i = 1
D =
1
s̄n i
– The total annual payment will be the interest payment and account payment:
δ +
1
s̄n i
– Note that
1
ān i
=
δ
1 − vn
×
(1 + i)n
(1 + i)n
=
δ(1 + i)n
(1 + i)n − 1
=
δ(1 + i)n
+ δ − δ
(1 + i)n − 1
=
δ[(1 + i)n
− 1] + δ
(1 + i)n − 1
= δ +
δ
(1 + i)n − 1
= δ +
1
s̄n
– Therefore, a level continuous annual annuity payment on a loan is the same as making
an annual continuous interest payment each year plus making level annual continuous
deposits in order to save for the loan repayment.
Basic Relationship 4 : ān =
i
δ
· an , s̄n =
i
δ
· sn
– Consider annual payments of 1 made continuously each year for the next n years. Over
a one-year period, the continuous payments will accumulate at the end of the year to
a lump sum of s̄1 . If this end-of-year lump sum exists for each year of the n-year
annuity-immediate, then the present value (at t = 0) of these end-of-year lump sums is
the same as ān :
ān =s̄1 · an
=
i
δ
· an
– Therefore, the accumulated value (at t = n) of these end-of-year lump sums is the same
as s̄n :
s̄n =s̄1 · sn
=
i
δ
· sn
78
82. Basic Relationship 5 :
d
dt
s̄t = 1 + δ · s̄t ,
d
dt
āt = 1 − δ · āt
– First off, consider how the accumulated value (as at time t) of an annuity-immediate
changes from one payment period to the next:
st + 1 =1 + st · (1 + i)
=1 + st + i · st
st + 1 − st =1 + i · st
∆st =1 + i · st
– Therefore, the annual change in the accumulated value at time t will simply be the
interest earned over the year, plus the end-of-year payment that was made.
– For an annuity-due, the annual change in the accumulated value will be:
s̈t + 1 =1 · (1 + i) + s̈t · (1 + i)
=1 · (1 + i) + s̈t + i · s̈t
s̈t + 1 − s̈t =1 · (1 + i) + i · s̈t
∆s̈t =1 · (1 + i) + i · s̈t
– Note that, in general, a continuous annuity can be expressed as:
s̄t + h =1 ·
h
0
(1 + i)h−t
dt + s̄t · (1 + i)h
– The change in the accumulated value over a period of h is then:
s̄t + h − s̄t =1 ·
h
0
(1 + i)h−t
dt + s̄t · [(1 + i)h
− 1]
– The derivative with respect to time of the accumulated value can be defined as:
d
dt
s̄t = lim
h→ 0
s̄t + h − s̄t
h
= lim
h→ 0
1 ·
h
0 (1 + i)h−t
dt
h
+ lim
h→ 0
s̄t · [(1 + i)h
− 1]
h
= lim
h→ 0
1 · d
dh
h
0
(1 + i)h−t
dt
d
dh · h
+ lim
h→ 0
[(1 + i)t+h
− (1 + i)t
]
h · (1 + i)t
· s̄t
=1 + δ · s̄t
– The derivative with respect to time of the present value can be defined as:
d
dt
āt =
d
dt
s̄t · vt
=
d
dt
s̄t
· vt
+ s̄t ·
d
dt
vt
= (1 + δ · s̄t ) · vt
+ s̄t ·
vt
· ln[v]
=
vt
+ δ · āt
+ āt · (−δ)
=1 − δ · āt
79
83. 4.6 Basic Varying Annuities
– in this section, payments will now vary; but the interest conversion period will continue to
coincide with the payment frequency
– 3 types of varying annuities are detailed in this section:
(i) payments varying in arithmetic progression
(ii) payments varying in geometric progression
(iii) other payment patterns
Payments Varying In Arithmetic Progression
Annuity-Immediate
An annuity-immediate is payable over n years with the first payment equal to P and each
subsequent payment increasing by Q. The time line diagram below illustrates the above
scenario:
0 1 2 ... n - 1 n
P P + (1)Q ... P + (n-2)Q P + (n-1)Q
80
84. The present value (at t = 0) of this annual annuity–immediate, where the annual effective
rate of interest is i, shall be calculated as follows:
P V0 = [P ]v + [P + Q]v2
+ · · · + [P + (n − 2)Q]vn−1
+ [P + (n − 1)Q]vn
= P [v + v2
+ · · · + vn−1
+ vn
] + Q[v2
+ 2v3
· · · + (n − 2)vn−1
+ (n − 1)vn
]
= P [v + v2
+ · · · + vn−1
+ vn
] + Qv2
[1 + 2v · · · + (n − 2)vn−3
+ (n − 1)vn−2
]
= P [v + v2
+ · · · + vn−1
+ vn
] + Qv2 d
dv
[1 + v + v2
+ · · · + vn−2
+ vn−1
]
= P · an i + Qv2 d
dv
[än i ]
= P · an i
+ Qv2 d
dv
1 − vn
1 − v
= P · an i
+ Qv2
(1 − v) · (−nvn−1
) − (1 − vn
) · (−1)
(1 − v)2
= P · an i +
Q
(1 + i)2
−nvn
(v−1
− 1) + (1 − vn
)
(i/1 + i)2
= P · an i + Q
(1 − vn
) − nvn−1
− nvn
i2
= P · an i + Q
(1 − vn
) − nvn
(v−1
− 1)
i2
= P · an i + Q
(1 − vn
) − nvn
(1 + i − 1)
i2
= P · an i + Q
(1 − vn
)
i
−
nvn
(i)
i
i
= P · an i + Q
an i − nvn
i
The accumulated value (at t = n) of an annuity–immediate, where the annual effective rate
of interest is i, can be calculated using the same approach as above or calculated by using
the basic principle where an accumulated value is equal to its present value carried forward
with interest:
F Vn = P V0 · (1 + i)n
=
P · an i + Q
an i − nvn
i
(1 + i)n
= P · an i · (1 + i)n
+ Q
an i · (1 + i)n
− nvn
· (1 + i)n
i
= P · sn i
+ Q
sn i
− n
i
81
85. Let P = 1 and Q = 1. In this case, the payments start at 1 and increase by 1 every year
until the final payment of n is made at time n.
0 1 2 ... n - 1 n
1 2 ... n - 1 n
The present value (at t = 0) of this annual increasing annuity–immediate, where the annual
effective rate of interest is i, shall be denoted as (Ia)n i
and is calculated as follows:
(Ia)n i = (1) · an i + (1) ·
an i − nvn
i
=
1 − vn
i
+
an i
− nvn
i
=
1 − vn
+ an i − nvn
i
=
än i − nvn
i
The accumulated value (at t = n) of this annual increasing annuity–immediate, where the
annual effective rate of interest is i, shall be denoted as (Is)n i and can be calculated using
the same general approach as above, or alternatively, by simply using the basic principle
where an accumulated value is equal to its present value carried forward with interest:
(Is)n i = (Ia)n i · (1 + i)n
=
än i − nvn
i
· (1 + i)n
=
än i
· (1 + i)n
− nvn
· (1 + i)n
i
=
s̈n i
− n
i
82
86. Let P = n and Q = −1. In this case, the payments start at n and decrease by 1 every year
until the final payment of 1 is made at time n.
0 1 2 ... n - 1 n
n n - 1 ... 2 1
The present value (at t = 0) of this annual decreasing annuity–immediate, where the annual
effective rate of interest is i, shall be denoted as (Da)n i
and is calculated as follows:
(Da)n i = (n) · an i + (−1) ·
an i − nvn
i
= n ·
1 − vn
i
−
an i
− nvn
i
=
n − nvn
− an i + nvn
i
=
n − an i
i
The accumulated value (at t = n) of this annual decreasing annuity–immediate, where the
annual effective rate of interest is i, shall be denoted as (Ds)n i and can be calculated by
using the same general approach as above, or alternatively, by simply using the basic principle
where an accumulated value is equal to its present value carried forward with interest:
(Ds)n i
= (Da)n i
· (1 + i)n
=
n − an i
i
· (1 + i)n
=
n · (1 + i)n
− sn i
i
83
87. Annuity-Due
An annuity-due is payable over n years with the first payment equal to P and each subsequent
payment increasing by Q. The time line diagram below illustrates the above scenario:
0 1 2 ... n - 1 n
P P + (1)Q P + (2)Q ... P + (n-1)Q
84
88. The present value (at t = 0) of this annual annuity–due, where the annual effective rate of
interest is i, shall be calculated as follows:
P V0 = [P ] + [P + Q]v + · · · + [P + (n − 2)Q]vn−2
+ [P + (n − 1)Q]vn−1
= P [1 + v + · · · + vn−2
+ vn−1
] + Q[v + 2v2
· · · + (n − 2)vn−2
+ (n − 1)vn−1
]
= P [1 + v + · · · + vn−2
+ vn−1
] + Qv[1 + 2v · · · + (n − 2)vn−3
+ (n − 1)vn−2
]
= P [1 + v + · · · + vn−2
+ vn−1
] + Qv
d
dv
[1 + v + v2
+ · · · + vn−2
+ vn−1
]
= P · än i + Qv
d
dv
[än i ]
= P · än i
+ Qv
d
dv
1 − vn
1 − v
= P · än i
+ Qv
(1 − v) · (−nvn−1
) − (1 − vn
) · (−1)
(1 − v)2
= P · än i +
Q
(1 + i)
−nvn
(v−1
− 1) + (1 − vn
)
(i/1 + i)2
= P · än i + Q
(1 − vn
) − nvn−1
− nvn
i2
· (1 + i)
= P · än i + Q
(1 − vn
) − nvn
(v−1
− 1)
i2
· (1 + i)
= P · än i + Q
(1 − vn
) − nvn
(1 + i − 1)
i2
· (1 + i)
= P · än i + Q
(1 − vn
)
i
−
nvn
(i)
i
i
· (1 + i)
= P · än i + Q
an i − nvn
i
· (1 + i)
= P · än i + Q
an i − nvn
d
This present value of the annual annuity-due could also have been calculated using the basic
principle that since payments under an annuity-due start one year earlier than under an
annuity-immediate, the annuity–due will earn one more year of interest and thus, will be
greater than an annuity-immediate by (1 + i):
P V due
0 = P V immediate
0 × (1 + i)
=
P · an i + Q
an i − nvn
i
× (1 + i)
= (P · an i ) × (1 + i) + Q
an i − nvn
i
× (1 + i)
= P · än i
+ Q
an i − nvn
d
85
89. The accumulated value (at t = n) of an annuity–due, where the annual effective rate of
interest is i, can be calculated using the same general approach as above, or alternatively,
calculated by using the basic principle where an accumulated value is equal to its present
value carried forward with interest:
F Vn = P V0 · (1 + i)n
=
P · än i
+ Q
an i
− nvn
d
(1 + i)n
= P · än i · (1 + i)n
+ Q
an i
· (1 + i)n
− nvn
· (1 + i)n
d
= P · s̈n i + Q
sn i − n
d
86