This document provides information on researching and selecting mutual funds. It discusses key metrics to analyze, including performance, risk, portfolio management, and other factors. The document instructs the reader to use the Morningstar website to look up specific mutual funds and fill out a spreadsheet analyzing 1-year, 3-year, 5-year, and 10-year returns, risk metrics like worst year performance, as well as portfolio characteristics, management tenure, and other data points. Comparing metrics across funds can help determine which provide the best risk-adjusted returns.
Traditional methods to measure volatility case study of selective developed ...Alexander Decker
This document analyzes stock market volatility across developed and emerging markets from 1997-2009 using traditional measures like standard deviation. Key findings include:
- Returns for all markets showed non-normality, with emerging markets exhibiting more non-normality and higher kurtosis, indicating more peaked return distributions.
- Volatility, as measured by standard deviation, was highest for Turkey, Brazil, and China - all emerging markets. However, some developed markets were found to be more volatile than some emerging markets, suggesting volatility is not unique to emerging markets.
- The analysis concludes volatility should be measured using other methods like extreme value analysis due to the heavy-tailed distributions found in emerging market returns. This could provide better guidance for
- The document discusses technical analysis, which uses patterns in stock prices and trading volume to predict future stock performance, rather than analyzing companies' financials.
- It outlines various technical analysis techniques like charting patterns, indicators like RSI and Bollinger Bands, and identifying support and resistance levels.
- Technical analysis is believed to be one of the oldest forms of security analysis and is still widely used today, though it also faces challenges from theories like the efficient market hypothesis.
Algorithmic strategy with adoptable trading frequency, effectively works with relatively inefficient markets. To the attention of potential investors/partners.
Security analysis (technical) and portfolio managementHarish Khan
This document provides an overview of technical analysis tools and concepts used in portfolio management. It discusses Dow theory, trends in bull and bear markets, chart patterns like head and shoulders and symmetrical triangles, and the efficient market hypothesis. It also summarizes the phases of portfolio management including security analysis, portfolio analysis models like BCG, portfolio selection using Markowitz theory, and portfolio revision and evaluation. Technical analysis tools and modern portfolio theory principles are used to construct optimal portfolios balancing risk and return.
The document provides an introduction to technical analysis. It discusses the differences between technical and fundamental analysis, common chart types used in technical analysis, and various technical indicators and patterns that technicians use to analyze market trends and make trading decisions. These include trendlines, chart patterns like triangles and wedges, moving averages, oscillators like RSI and stochastic, volume indicators like on-balance volume, and Fibonacci retracement levels. The document emphasizes that technical analysis focuses on interpreting past price movements and patterns to predict future price trends.
1) The author takes a combination of fundamental analysis and quantitative optimization in their macro trading style, focusing on trading FX, interest rates, and stock indices.
2) They develop trading ideas based on fundamental analysis and then use quantitative modeling to optimize trades for maximum profit and minimum risk. Trading decisions are rule-based to minimize emotions.
3) Risk management is emphasized through conservative leverage, scenario analysis, and strict stop losses. The goal is probability trading rather than market timing or gambling.
The document contains information about 7 students including their names and roll numbers. It then discusses various topics related to financial analysis such as statistical analysis, measurement of return, probabilities, expected rate of return, average rate of return, standard deviation, fundamental analysis involving analysis of economy-wide factors, industry-wide factors and company-wide factors. It also discusses technical analysis and different types of charts used including bar charts, line charts and candlestick charts.
Traditional methods to measure volatility case study of selective developed ...Alexander Decker
This document analyzes stock market volatility across developed and emerging markets from 1997-2009 using traditional measures like standard deviation. Key findings include:
- Returns for all markets showed non-normality, with emerging markets exhibiting more non-normality and higher kurtosis, indicating more peaked return distributions.
- Volatility, as measured by standard deviation, was highest for Turkey, Brazil, and China - all emerging markets. However, some developed markets were found to be more volatile than some emerging markets, suggesting volatility is not unique to emerging markets.
- The analysis concludes volatility should be measured using other methods like extreme value analysis due to the heavy-tailed distributions found in emerging market returns. This could provide better guidance for
- The document discusses technical analysis, which uses patterns in stock prices and trading volume to predict future stock performance, rather than analyzing companies' financials.
- It outlines various technical analysis techniques like charting patterns, indicators like RSI and Bollinger Bands, and identifying support and resistance levels.
- Technical analysis is believed to be one of the oldest forms of security analysis and is still widely used today, though it also faces challenges from theories like the efficient market hypothesis.
Algorithmic strategy with adoptable trading frequency, effectively works with relatively inefficient markets. To the attention of potential investors/partners.
Security analysis (technical) and portfolio managementHarish Khan
This document provides an overview of technical analysis tools and concepts used in portfolio management. It discusses Dow theory, trends in bull and bear markets, chart patterns like head and shoulders and symmetrical triangles, and the efficient market hypothesis. It also summarizes the phases of portfolio management including security analysis, portfolio analysis models like BCG, portfolio selection using Markowitz theory, and portfolio revision and evaluation. Technical analysis tools and modern portfolio theory principles are used to construct optimal portfolios balancing risk and return.
The document provides an introduction to technical analysis. It discusses the differences between technical and fundamental analysis, common chart types used in technical analysis, and various technical indicators and patterns that technicians use to analyze market trends and make trading decisions. These include trendlines, chart patterns like triangles and wedges, moving averages, oscillators like RSI and stochastic, volume indicators like on-balance volume, and Fibonacci retracement levels. The document emphasizes that technical analysis focuses on interpreting past price movements and patterns to predict future price trends.
1) The author takes a combination of fundamental analysis and quantitative optimization in their macro trading style, focusing on trading FX, interest rates, and stock indices.
2) They develop trading ideas based on fundamental analysis and then use quantitative modeling to optimize trades for maximum profit and minimum risk. Trading decisions are rule-based to minimize emotions.
3) Risk management is emphasized through conservative leverage, scenario analysis, and strict stop losses. The goal is probability trading rather than market timing or gambling.
The document contains information about 7 students including their names and roll numbers. It then discusses various topics related to financial analysis such as statistical analysis, measurement of return, probabilities, expected rate of return, average rate of return, standard deviation, fundamental analysis involving analysis of economy-wide factors, industry-wide factors and company-wide factors. It also discusses technical analysis and different types of charts used including bar charts, line charts and candlestick charts.
Technical analysis is an approach to security analysis that attempts to predict stock price movements by examining historical price data. It believes that stock prices are influenced by both rational and irrational demand and supply factors reflected in the price trends. The basic principles of technical analysis are that stock prices move in trends, shifts in demand and supply can be detected through price charts, and these patterns can be used to forecast future price movements. Dow theory, the roots of modern technical analysis, proposes that the stock market has primary long-term trends, secondary counter-trends, and minor day-to-day fluctuations.
The document discusses various mathematical indicators used in technical analysis for stocks including moving averages, exponential moving averages, rate of change indicator, and relative strength index. It provides formulas to calculate exponential moving averages and the relative strength index. Sample calculations and charts are shown to illustrate how to calculate a 5-day exponential moving average and 7-day rate of change indicator. Moving averages are used to represent short, medium, and long term trends in stock prices.
Technical analysis is a method of predicting stock price movements by studying past price and volume data. It originated in the 17th century in European markets and was developed further in Asia by Homma Munehisa. In the early 20th century, technical analysis tools were developed and books written to explain the approach. Key pioneers included Dow, Elliott, Gann, Wyckoff, and Williams. Technical analysis differs from fundamental analysis by examining investor psychology and supply/demand rather than earnings or new products. Technicians use charts to identify price patterns and trends and attempt to exploit them when trading.
Technical Analysis guest lecture to the Security Analysis and Portfolio Management class at the University of North Florida. October 13, 2011. DVD available upon request.
The document discusses currency forward arbitrage opportunities that arise from interest rate differentials between currencies. Specifically, it discusses how monitoring euro/dollar forward rates versus Euribor rates and credit spreads can help identify arbitrage opportunities during periods of market dislocation when normal pricing methods become unreliable. Examples are provided to illustrate how adjusting forward rates based on changing deposit rates can remove arbitrage opportunities between the forward market and money markets.
smartdisha.wordpress.com/2018/01/18/moving-average/
PLEASE FOLLOW THIS LINK TO REGISTER YOURSELF FOR SMART DISHA COURSE:
https://docs.google.com/forms/d/e/1FAIpQLSdulb2XHYEHfC_Lpag7l0XiXfnYHahSAz39eKSGe7MPIz_zdA/viewform?entry.1844833233&entry.1183341806&entry.1585054779
This document provides an overview of technical analysis. It defines technical analysis as the study of market behavior by analyzing price action and volume data over time. The key principles of technical analysis are that price discounts all factors, the market moves in identifiable patterns and cycles, and trends tend to persist until clear signals indicate a reversal. Technical analysis uses various chart types like line charts, bar charts and volume charts to identify patterns in historical market data and make predictions about future price movements. The document outlines some basic terminology and chart types used in technical analysis.
Technical analysis is a method of evaluating securities using statistical analysis of past market data like price and volume. It is used to identify patterns that can predict future price movements. Technical analysis uses tools like charts, indicators, and computer programs to analyze trends and identify trading opportunities. While technical analysis is widely used by traders, academics are divided on its effectiveness, with some studies supporting it and others finding the evidence inconclusive or inconsistent with market efficiency. Technical analysis is commonly used over shorter time frames by day traders, short-term investors, and hedgers seeking to manage risk.
Fundamental analysis is a logical and systematic approach to evaluating securities by examining related economic, financial, and other qualitative and quantitative factors. It involves analyzing macroeconomic factors like GDP growth, as well as industry conditions and company-specific factors to estimate a security's intrinsic value and forecast future performance. The goal is to identify securities that are underpriced (presenting opportunities) or overpriced (presenting risks). Fundamental analysis uses various techniques including demand-supply analysis, price elasticity, balance sheets, and regression analysis to value assets and predict price movements.
The document discusses the Efficient Market Hypothesis (EMH). Some key points:
- EMH proposes that market prices fully reflect all available information and investors cannot consistently earn abnormal returns. It originated from the Random Walk Hypothesis.
- There are three forms of EMH (weak, semi-strong, strong) based on the information reflected in prices. Research initially supported weak and semi-strong forms but questioned strong form.
- Over time research identified anomalies like momentum and mean reversion that appear to allow abnormal returns, bringing EMH into question. Behavioral finance emerged examining psychological factors.
- While still debated, EMH is no longer considered the sole determinant of market behavior.
Technical analysis, market efficiency, and behavioral financeBabasab Patil
Technical analysis uses patterns in stock prices and trading volume to predict future market movements and identify trading opportunities. The efficient market hypothesis states that stock prices instantly reflect all available information, making technical analysis ineffective. However, behavioral finance suggests psychological factors influence investor decisions and market anomalies exist, challenging the notion of complete market efficiency.
This document discusses market efficiency and the efficient market hypothesis (EMH). It defines market efficiency as when market prices impartially estimate true investment value. For a market to be efficient, price deviations from true value must be random and uncorrelated with other value factors. The document also outlines the implications of EMH, such as no consistent strategies beating the market, and discusses criticisms like the internal contradiction of investors seeking inefficiencies. It concludes that perfect efficiency is unlikely due to human emotions and differing investor valuations.
The document discusses portfolio management through a disciplined trend following approach using technical analysis. It advocates combining fundamental and technical analysis to time market entries and exits. The key aspects of the approach are identifying market trends using indicators, letting winners ride while cutting losses quickly, and strict risk management including stop losses on all positions. The goal is participating in market trends to generate returns while managing downside risk.
This document summarizes the history and development of the concept of market efficiency. It discusses early works in the 1900s that anticipated the idea, and key studies in the 1950s-60s that developed the random walk model and market efficiency theory. Major topics covered include event studies in the late 1960s that provided empirical evidence; analysis in the 1960s-70s of mutual funds and managers that supported efficient markets; and anomalies identified starting in the 1970s that challenged aspects of efficiency. The document concludes by noting the ongoing debate between the efficient market framework and behavioral theories to explain anomalies.
Patience may be virtue, but impatience can frequently be profitable.
The attempt to determine future share price movement and its reliability by references to historical data.
Technical analysis OF STOCK MARKET presentation of mba 4 sem FINANCE PPTBabasab Patil
Technical analysis is the forecasting of security prices based on past price movements. It uses various charts like line charts, bar charts, and candlestick charts to identify trends and patterns in prices over time. Key assumptions of technical analysis include that markets move in trends, and that history repeats itself. Common techniques include analyzing support and resistance levels, moving averages, and identifying continuation and reversal patterns. The goal is to anticipate future price movements based on historical price data.
Kevin G. Fiddick is pursuing a Bachelor of Science in Computer Engineering at Milwaukee School of Engineering. His unofficial transcript shows he has earned 56 credits with a cumulative GPA of 3.45. His coursework includes digital logic, computer architecture, data structures, and calculus courses relevant to his major. He is currently enrolled in embedded systems, linear circuits, linear algebra, and marketing courses for the 2016-2017 fall quarter.
Technical analysis is an approach to security analysis that attempts to predict stock price movements by examining historical price data. It believes that stock prices are influenced by both rational and irrational demand and supply factors reflected in the price trends. The basic principles of technical analysis are that stock prices move in trends, shifts in demand and supply can be detected through price charts, and these patterns can be used to forecast future price movements. Dow theory, the roots of modern technical analysis, proposes that the stock market has primary long-term trends, secondary counter-trends, and minor day-to-day fluctuations.
The document discusses various mathematical indicators used in technical analysis for stocks including moving averages, exponential moving averages, rate of change indicator, and relative strength index. It provides formulas to calculate exponential moving averages and the relative strength index. Sample calculations and charts are shown to illustrate how to calculate a 5-day exponential moving average and 7-day rate of change indicator. Moving averages are used to represent short, medium, and long term trends in stock prices.
Technical analysis is a method of predicting stock price movements by studying past price and volume data. It originated in the 17th century in European markets and was developed further in Asia by Homma Munehisa. In the early 20th century, technical analysis tools were developed and books written to explain the approach. Key pioneers included Dow, Elliott, Gann, Wyckoff, and Williams. Technical analysis differs from fundamental analysis by examining investor psychology and supply/demand rather than earnings or new products. Technicians use charts to identify price patterns and trends and attempt to exploit them when trading.
Technical Analysis guest lecture to the Security Analysis and Portfolio Management class at the University of North Florida. October 13, 2011. DVD available upon request.
The document discusses currency forward arbitrage opportunities that arise from interest rate differentials between currencies. Specifically, it discusses how monitoring euro/dollar forward rates versus Euribor rates and credit spreads can help identify arbitrage opportunities during periods of market dislocation when normal pricing methods become unreliable. Examples are provided to illustrate how adjusting forward rates based on changing deposit rates can remove arbitrage opportunities between the forward market and money markets.
smartdisha.wordpress.com/2018/01/18/moving-average/
PLEASE FOLLOW THIS LINK TO REGISTER YOURSELF FOR SMART DISHA COURSE:
https://docs.google.com/forms/d/e/1FAIpQLSdulb2XHYEHfC_Lpag7l0XiXfnYHahSAz39eKSGe7MPIz_zdA/viewform?entry.1844833233&entry.1183341806&entry.1585054779
This document provides an overview of technical analysis. It defines technical analysis as the study of market behavior by analyzing price action and volume data over time. The key principles of technical analysis are that price discounts all factors, the market moves in identifiable patterns and cycles, and trends tend to persist until clear signals indicate a reversal. Technical analysis uses various chart types like line charts, bar charts and volume charts to identify patterns in historical market data and make predictions about future price movements. The document outlines some basic terminology and chart types used in technical analysis.
Technical analysis is a method of evaluating securities using statistical analysis of past market data like price and volume. It is used to identify patterns that can predict future price movements. Technical analysis uses tools like charts, indicators, and computer programs to analyze trends and identify trading opportunities. While technical analysis is widely used by traders, academics are divided on its effectiveness, with some studies supporting it and others finding the evidence inconclusive or inconsistent with market efficiency. Technical analysis is commonly used over shorter time frames by day traders, short-term investors, and hedgers seeking to manage risk.
Fundamental analysis is a logical and systematic approach to evaluating securities by examining related economic, financial, and other qualitative and quantitative factors. It involves analyzing macroeconomic factors like GDP growth, as well as industry conditions and company-specific factors to estimate a security's intrinsic value and forecast future performance. The goal is to identify securities that are underpriced (presenting opportunities) or overpriced (presenting risks). Fundamental analysis uses various techniques including demand-supply analysis, price elasticity, balance sheets, and regression analysis to value assets and predict price movements.
The document discusses the Efficient Market Hypothesis (EMH). Some key points:
- EMH proposes that market prices fully reflect all available information and investors cannot consistently earn abnormal returns. It originated from the Random Walk Hypothesis.
- There are three forms of EMH (weak, semi-strong, strong) based on the information reflected in prices. Research initially supported weak and semi-strong forms but questioned strong form.
- Over time research identified anomalies like momentum and mean reversion that appear to allow abnormal returns, bringing EMH into question. Behavioral finance emerged examining psychological factors.
- While still debated, EMH is no longer considered the sole determinant of market behavior.
Technical analysis, market efficiency, and behavioral financeBabasab Patil
Technical analysis uses patterns in stock prices and trading volume to predict future market movements and identify trading opportunities. The efficient market hypothesis states that stock prices instantly reflect all available information, making technical analysis ineffective. However, behavioral finance suggests psychological factors influence investor decisions and market anomalies exist, challenging the notion of complete market efficiency.
This document discusses market efficiency and the efficient market hypothesis (EMH). It defines market efficiency as when market prices impartially estimate true investment value. For a market to be efficient, price deviations from true value must be random and uncorrelated with other value factors. The document also outlines the implications of EMH, such as no consistent strategies beating the market, and discusses criticisms like the internal contradiction of investors seeking inefficiencies. It concludes that perfect efficiency is unlikely due to human emotions and differing investor valuations.
The document discusses portfolio management through a disciplined trend following approach using technical analysis. It advocates combining fundamental and technical analysis to time market entries and exits. The key aspects of the approach are identifying market trends using indicators, letting winners ride while cutting losses quickly, and strict risk management including stop losses on all positions. The goal is participating in market trends to generate returns while managing downside risk.
This document summarizes the history and development of the concept of market efficiency. It discusses early works in the 1900s that anticipated the idea, and key studies in the 1950s-60s that developed the random walk model and market efficiency theory. Major topics covered include event studies in the late 1960s that provided empirical evidence; analysis in the 1960s-70s of mutual funds and managers that supported efficient markets; and anomalies identified starting in the 1970s that challenged aspects of efficiency. The document concludes by noting the ongoing debate between the efficient market framework and behavioral theories to explain anomalies.
Patience may be virtue, but impatience can frequently be profitable.
The attempt to determine future share price movement and its reliability by references to historical data.
Technical analysis OF STOCK MARKET presentation of mba 4 sem FINANCE PPTBabasab Patil
Technical analysis is the forecasting of security prices based on past price movements. It uses various charts like line charts, bar charts, and candlestick charts to identify trends and patterns in prices over time. Key assumptions of technical analysis include that markets move in trends, and that history repeats itself. Common techniques include analyzing support and resistance levels, moving averages, and identifying continuation and reversal patterns. The goal is to anticipate future price movements based on historical price data.
Kevin G. Fiddick is pursuing a Bachelor of Science in Computer Engineering at Milwaukee School of Engineering. His unofficial transcript shows he has earned 56 credits with a cumulative GPA of 3.45. His coursework includes digital logic, computer architecture, data structures, and calculus courses relevant to his major. He is currently enrolled in embedded systems, linear circuits, linear algebra, and marketing courses for the 2016-2017 fall quarter.
This study examined the flight responses of black-capped chickadees and tufted titmice when exposed to calls from native and non-native birds of prey. When exposed to calls from the native Cooper's hawk, both species typically fled the area. However, when exposed to calls from the non-native red-footed falcon, the birds rarely fled and seemed not to recognize the call as a threat. The results suggest the birds can distinguish threats based on familiarity with predator calls from their environment.
A course that develops personality BBA colleges Techno institute
The BBA College in Lucknow offers quality education and imparts the crucial soft skills required to marvel the corporate sector. Most of the BBA colleges offer entry level job into corporate industry.
Nafeesa Bukhari is seeking a career opportunity in a progressive and prestigious organization. She has completed her M.Com with 2 semesters remaining from Punjab University. Her skills include MS Office applications and she is interested in accounting and official work. Her hobbies include reading books and newspapers.
Anunta Tech is a new age Infrastructure Management Services firm with an innovative service known as ADaaS (Application Delivery as a Service) that's based on Digital Virtualisation Technologies.
ADaaS is a managed infrastructure solution that provides guarantees on application performance as experienced by the end user by creating a centrally hosted environment using desktop virtualization technologies and combining it with a proprietary highly automated and predictive continuous monitoring system. With ADaaS we offer server-to-screen design and management of the entire application delivery infrastructure.
ADaaS’ key benefits to the organization include reduction in overall cost of application delivery by 15-25%, faster rollouts, provisioning & updates, proactive resolution leading to reduction in trouble tickets by as much as 90%, consistent application performance & creating a highly scalable & standardized IT infrastructure.
ANUNTA has over a decade of experience in designing and managing application delivery for the back offices of Fortune 500 and Leading
Indian companies. Some of our clients are Axis Bank, Edelweiss, Bajaj Electricals, Ratnakar Bank, Kotak Bank etc. ANUNTA and its Application Delivery as a Service (ADaaS) in fact has been cited as one of the “Vendors to Watch” in the Hosted Virtual Desktop (HVD) segment in Gartner’s ‘Emerging Market Analysis: India’s Top 10 Technology Trends and Drivers in 2014’ Report.
The document discusses content curation and provides statistics on the amount of content shared daily on social media platforms. It then lists steps for effective content curation including gathering a variety of content, filtering it, adding value through organization and context, and sharing it. Finally, it suggests tools that can help with curation and provides examples of how curation could work in classroom settings including archiving a website, researching a biome, and analyzing journalism.
Portal frame construction by Rhythm MurgaiRhythm Murgai
This is the seconed part of slide from Portal fram.
If you want to see the previous slide,then go to my account and search for portal frame.
For queries : http://www.facebook.com/rhythmmurgai
or +919872297936
FOLLOW US ON http://www.instagram.com/jsrkofficial
Portal Frame Construction & Pre Engineered Building SystemIan Toisa
A steel structure built over a structural concept of primary members, secondary members and the cover sheeting connected to each other. The structural member are custom designed to be lighter in weight as well as high in strength.
O documento descreve as características do mosquito Aedes Aegypti, identificado pela primeira vez no Egito em 1818. Detalha seu papel na transmissão de doenças como dengue, zika e chikungunya. Reforça a importância de eliminar seus criadouros para exterminar a ameaça que representa.
Optical fibers transmit light and operate based on the principles of total internal reflection. They consist of a core and cladding material, with the core having a higher refractive index. This allows light to be guided along the fiber due to total internal reflection at the core-cladding boundary. There are two main types of optical fibers - single-mode fibers which only allow one mode of light to propagate, and multi-mode fibers which allow multiple light modes. Dispersion and attenuation are two factors that limit the performance of optical fibers by causing light pulses to broaden as they travel along the fiber.
Замовника, організатора і виконавців замовного злочину, вчиненого наприкінці серпня на трасі «Львів - Рогатин - Івано-Франківськ», затримали оперативники карного розшуку Національної поліції України спільно з прокуратурою. Зловмисникам оголошено про підозру. Усіх затриманих пов'язують із кримінальним авторитетом на прізвисько «Вова-Морда».
This document summarizes performance of real estate securities funds for April 2015 and year-to-date. It includes sections on April performance by fund size and region, YTD performance by size and region, and a focus article on smart beta strategies for REITs. The focus article previews two papers, one by the author and Kieran Farrelly showing how smart beta strategies outperformed the market index from 2004-2014, and another by C. Stace Sirmans and G. Stacy Sirmans on an unexpected value strategy for US REITs from 1985-2013.
The document outlines the process of portfolio management over 6 steps: 1) Learn basic finance principles 2) Set objectives 3) Formulate strategy 4) Plan for revisions 5) Evaluate performance 6) Protect the portfolio. It discusses traditional investments like security analysis and portfolio construction. Portfolio management aims to reduce risk rather than increase returns. The manager's job is to create the best collection for each client per their unique needs within the constraints of the investment policy statement.
The document outlines the process of portfolio management over 6 steps: 1) Learn basic finance principles 2) Set objectives 3) Formulate strategy 4) Plan for revisions 5) Evaluate performance 6) Protect the portfolio. It discusses traditional investments like security analysis and portfolio construction. Portfolio management aims to reduce risk rather than increase returns. The manager's job is to create the best collection for each client per their unique needs within the constraints of the investment policy statement.
The document provides an overview of the process of portfolio management. It discusses 6 key steps: 1) learning basic finance principles, 2) setting objectives, 3) formulating an investment strategy, 4) planning for revisions, 5) evaluating performance, and 6) protecting the portfolio. The document also outlines 4 parts that will be covered: background and principles, portfolio construction, management, and protection/contemporary issues. Traditional investments like security analysis and portfolio management are introduced.
The document provides an overview of the process of portfolio management. It discusses 6 key steps: 1) learning basic finance principles, 2) setting objectives, 3) formulating an investment strategy, 4) planning for revisions, 5) evaluating performance, and 6) protecting the portfolio. The document also outlines 4 parts that will be covered: background and principles, portfolio construction, management, and protection. It provides examples of different investment types, strategies for construction and maintenance, and tools for evaluation and risk management.
The document provides an overview of the process of portfolio management. It discusses 6 key steps: 1) learning basic finance principles, 2) setting objectives, 3) formulating an investment strategy, 4) planning for revisions, 5) evaluating performance, and 6) protecting the portfolio. The document also outlines 4 parts that will be covered: background and principles, portfolio construction, management, and protection/contemporary issues. Traditional investments like security analysis and portfolio management are introduced.
The document describes a stock market model called the "Fab Five" environmental model. The Fab Five model uses four main components - sentiment, monetary readings, combo, and tape (given double weight). Each component is made up of multiple indicators that are assigned values of +1, 0, or -1. The values are combined for each component and across components to assess overall market risk and determine whether conditions are bearish, neutral, or bullish. Examples of indicators include interest rates, market breadth, sentiment polls/surveys, and moving average crosses.
security analysis and port portfolio mgmtBabasab Patil
This document provides an outline for a presentation on portfolio management. It discusses key concepts like security analysis, portfolio construction, and portfolio maintenance. The six steps of portfolio management are introduced as learn principles, set objectives, formulate strategy, plan for revision, evaluate performance, and protect the portfolio. The document also outlines four parts of the presentation which will cover background/principles, portfolio construction, active management, and portfolio protection/contemporary issues. Key concepts like diversification, debt securities, performance evaluation, and derivatives will be discussed.
The paper opens with an overview of the
commodity trading advisor (CTA) sector, highlighting the
significant growth that has taken place in the managed
futures industry in recent years and explaining how
the managed futures strategies that CTAs employ
work in practice. The breadth of sub-strategies under
the managed futures umbrella are then examined.
The third part of the paper examines the benefits and
perceived risks to investors of allocating to managed
futures strategies and also addresses various common
misunderstandings about CTAs.
The paper concludes by exploring the common ways
as to how investors can access the various investment
strategies that are available
Hong Kong Stock Research. What Drives Hong Kong Stock Price Out Performance. ...lvxresearch
What Drives Company Stock Price Out Performance in Hong Kong? What Fundamental Stock Investment Strategies Have Been Working Consistently in Hong Kong? What Ranked Metrics Have Historically Signalled Stock Prices Will Outperform?
Our Paid Monthly Research Service on the Australian (ASX) and Hong Kong Markets (HSE) Answers all these Questions in a Digestible way for all levels of Investors: www.lvxresearch.com
Sign up for our free market update on the drivers that have historically signalled a change in stock market direction.
Subscribe to our Monthly research at www.lvxresearch.com
The document outlines an overview of the Stock Analyst Program for winter 2010. It includes the schedule of upcoming meetings and topics to be covered, such as valuation, stock screening, risk management, and technical analysis. Evaluation criteria for research reports are also mentioned, focusing on choice of industry and identification of growth potential and catalysts. Various resources for company and industry analysis are listed, including screening tools, industry reports, and the Bloomberg terminal.
The document provides an overview of the Stock Analyst Program for 2010, including upcoming meeting dates and topics. It discusses components of a research report, evaluation criteria, sources for where to trade stocks, different stock screening strategies, and concepts related to risk management. Key topics covered include industry and company analysis, valuation methods, investment styles like value investing and growth investing, and sayings from famous investors about diversification and market trends.
This document provides an overview and agenda for the Stock Analyst Program 2011. It outlines the topics that will be covered over the course of the program, including program overview, macroeconomic analysis, industry analysis, stock valuation methodology, and how to get started in equity research. Specific sessions will cover accounting, multiples analysis, stock screening methods, and guest speaker presentations. The goal is for students to learn the key techniques of equity analysis from a top-down and bottom-up perspective to effectively evaluate companies and value stocks. Important resources for various stages of the analysis process are also highlighted.
This Open ended Fund of Funds Scheme is suitable for investors who are seeking*:
1. Long-term capital growth
2. Investment in units of overseas funds which invest in equity, debt and short term securities of issuers around the world
3. High Risk**
*Investors should consult their financial advisors if in doubt about whether the Scheme is suitable for them.
**Risk may be represented as:
Low: Investors understand that their principal will be at low risk
Moderately Low: Investors understand that their principal will be at moderately low risk
Moderate: Investors understand that their principal will be at moderate risk
Moderately High: Investors understand that their principal will be at moderately high risk
High: Investors understand that their principal will be at high risk
The document provides an overview of technical analysis and fundamental analysis for evaluating securities. It discusses various technical analysis techniques like charts, support/resistance levels, trends and indicators. It also outlines the different aspects of fundamental analysis including economic, industry and company analysis. Key factors covered in fundamental analysis include barriers to entry, threat of substitution, bargaining power of suppliers/buyers, and financial ratios. The document aims to equip readers with tools and frameworks for conducting equity analysis of stocks.
Financial Management Unit III AssessmentQuestion 1· Define.docxvoversbyobersby
Financial Management Unit III Assessment
Question 1
· Define each part of a financial plan and discuss the importance of these components in managerial decision making.
·
Your response should be at least 250 words in length.
Question 2
· Construct a pro forma income statement for the first year and second year for the following assumptions:
Units of Sales in Year 1: 110,000
Price per Unit: $11
Variable cost per unit: 30%
Fixed Costs: $125,000
Income taxes: 15%
Interest Expense: $200,000
In year 2, Price per unit increases to $11.50, and unit of sales increases by 5%, all other assumptions remain the same.
Question 3
· Calculate the sustainable growth based on the following information:
·
· • Earnings after taxes = $35,000
· • Equity = $100,000
• d=22.4%
Question 4
· Calculate a table of interest rates based on the following information:
The pure interest rate is 1.6%
Inflation expectations for year 1 = 3%, year 2 =3.5%, years 3-5 =5%
The default risk is .1% for year one and increases by .2% over each year
Liquidity premium is 0 for year 1 and increases by .2% each year
Maturity risk premium is 0 for years 1 and 2 and .2% for years 3-5
BBA 3301, Financial Management 1
UNIT III STUDY GUIDE
Financial Planning, the Financial
System and Governance
Learning Objectives
Upon completion of this unit, students should be able to:
1. Define the elements of a business plan.
2. Explain the purpose and use of a financial plan.
3. Calculate sustainable growth.
4. Analyze the percent of sales approach to forecasting.
5. Conduct a basic financial forecast.
6. Construct the financial flow of funds model.
7. Explain moral hazard in executive compensation.
8. Develop an interest rate table for a term structure incorporating risk and
inflation.
9. Contrast theories pertaining to the term structure of interest rates.
Written Lecture
From courses in business administration and management, you will probably
note the planning function is key to organizational management. There are
various forms of planning that can include operational planning, strategic
planning, budgeting, and forecasting. Using financial data and information,
managers in all areas will need to either review or prepare business plans at
some point in their career. This unit begins with the study of business and
financial planning.
A business plan is a model of what management expects a business to become
in the future. A good business plan usually has broad, long-term planning on one
end and numerical short-term forecasting on the other end. Business plans can
be used by small business and entrepreneurs as well as large corporations in
planning expansion. Usually, a business plan involves some form of forecast and
the development of pro forma financial statements. Business plans are often
used by managers in assessing opportunities and allocating resources.
Additionally, investors (debt and equity) review the business ...
Manel Noguerón Resalt, es fundador y director general de Ethika Global Consulting, una sociedad especialista en el campo de la consultoría dentro del Mercado de Divisas. Manel Noguerón Resalt funda la compañía en el año 2004. Manel Noguerón Resalt es Bachelor in Science of Business Administration por la University of South Carolina y Master en Gestión de banca privada en CEU Abat Oliba. Aquí una breve descripción de la compañía que dirige:
- After interviewing their investment manager partners, the consensus is one of cautious optimism about further stock market gains, but managers note the path remains precarious.
- Managers favor value stocks over growth and are underexposed to emerging markets and commodities despite recent strength in those areas.
- Within fixed income, emerging market bonds are becoming more attractive due to US dollar weakness.
- Government bonds are viewed more as portfolio insurance than a source of return given their low yields.
The document discusses investment process and approaches. It describes the 5 stages of the investment process: 1) framing an investment policy, 2) security analysis, 3) valuation, 4) portfolio construction, and 5) portfolio evaluation. It then discusses the 3 main approaches to investment: 1) fundamental analysis which examines economic, industry and company factors, 2) technical analysis which analyzes past stock price and volume trends, and 3) the efficient market hypothesis which states stock prices reflect all available information and follow random patterns.
This document provides an overview of financial markets and various asset classes including equity, fixed income securities, and money market instruments. The key points covered include:
1) It describes the different components of financial markets including stock exchanges, bond markets, money markets, derivatives markets, and commodity markets.
2) It explains equity or stock markets in more detail including common stock, preferred stock, equity terminology like P/E ratio, dividend yield, and market capitalization.
3) It covers fixed income securities or bonds in depth including features, risks, yields, and the Indian debt market structure.
1. What Is a Mutual Fund
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Portfolio of marketable securities (stocks, bonds,
money markets).
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The portfolio is actively managed and does
change.
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Professionally managed by highly qualified
investment professionals.
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Can be monitored and is priced at the end of the
day.
2. How Do You Make Money in Mutual
Funds?
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Capital appreciation ( fund price increase)
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Short and long-term gain distributions
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Dividends
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Reinvest, more shares
5. Mutual Funds to Research
(use mutual funds below for your research)
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Fidelity Contrafund (Symbol FCNTX)
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Manning & Napier World Opportunity (Symbol EXWAX)
6. Study FCNTX
1)Go to Morningstar website, Slide 5
2)Place symbol, FCNTX in “Quote”box
3) See slide 9 for FCNTX investment data
7. How to Select a Mutual Fund
Morningstar - Mutual fund research
• Performance
• Management tenure
• Risk
• Portfolio Management - Style, methodology,
investment philosophy
9. Performance (1)
The 3 most important criteria for investing in a
mutual fund are:
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Performance
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Performance
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Performance
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Our mutual fund analysis focus should be on
performance.
10. Performance (2)
Below are the variables we want to analyze when it comes to
performance:
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We want to take a look at long-term performance. Most market and
economic cycles last 3 to 5 years. We want to know how the mutual fund
performed during an economic, market cycle (to be discussed in future
lessons).
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If the mutual fund does not have a 5 year track record, then do not
consider the fund as an investment. “When in doubt – STAY OUT!!”
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Look at a 3, 5 and 10 year track record.
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We also want to compare to the general market track record like the S &
P 500 index (a proxy for the market, companies in index represent the
economy).
11. Performance (3)
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Build a spread sheet with the following fields, I included S & P's
performance:
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Now, go to Morningstar and fill in the spread sheet with the
performance numbers for FCNTX.
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12. Performance (4)
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Enter the symbol FCNTX into the quote box (circled).
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Once you have the FCNTX page on your screen, click the performance
link (circled).
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Here is the page you should be seeing:
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14. Performance (6)
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Notice the annual history. What was the best
year, the worst year. We will discuss risk in the
fourth lesson of this course.
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Next look at the “Trailing Total Returns” section,
especially the 3-Year, 5-Year, 10 Year returns.
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Use the information on the page to fill in the
returns on your spread sheet.
15. Performance (7)
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Here is what your spread sheet should look like:
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Pick two mutual funds from slide 6 and analyze
their performance using your spread sheet.
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Once your done, which mutual fund would you
invest in, based on performance?
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16. Management Tenure (1)
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Performance may not belong to current portfolio
manager.
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Check management tenure by clicking
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“Management' link.
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The link also provides a bio of the portfolio
management team
18. Management Tenure (3)
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Performance is attributable to current lead
FCNTX manager.
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If the performance is good, and it's not the work
of the current manager, then
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“When in doubt – Stay out”.
19. Risk (1)
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If two mutual funds have the same return,
choose the one with the least risk.
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Build a 'RISK' tab on your spreadsheet with
following columns:
20. RISK (2)
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There are many ways to measure risk.
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How did the fund do in bad market years?
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It's not too hard to make money when the market is up, it is much
harder to manage money when things are bad – a bear market.
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I will develop a course on market, economic, interest rate, and
political cycles. The focus will be on bull and bear markets. The
most money can be made at the beginning and end of a market
cycle.
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21. RISK (3)
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Here is a history of bear markets for the U.S.
(yellow = no recession post WWII):
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22. RISK (4)
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Fortunately, the market spends more time up, versus down.
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The last 35 years there was 29 up years, 6 down years.
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23. RISK (5)
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2008 was one of the worst bear markets in
history.
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From the performance page of Morningstar, fill in
the worst year (2008) for FCNTX
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Next go to the “Ratings and Risk” link.
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25. RISK (7)
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Here is what your spread sheet should look like:
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Provide the risk metrics for the mutual funds you
have performance numbers for.
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Which funds have the lowest risks? Which have
the highest returns? Which has the best
26. RISK (8)
LESSONS
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Adjust returns to risk
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Look at the worst year, do you have the risk
tolerance, conviction, stomach to endure a bear
market.
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The higher the return the higher the risk, the
lower the return, the lower the risk.
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You need to find the appropriate risk and return
for yourself.
27. Portfolio Management (1)
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There are many ways a portfolio can be
managed.
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Mutual funds have a charter on how money will
be invested. It is spelled out in their prospectus.
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This lesson will be about portfolio management
and the metrics that you can analyze to help you
invest in a mutual fund.
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29. Portfolio Management (3)
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There are many types, categories of mutual
funds (growth, value, balanced, energy precious
metals, bonds, international, emerging markets...)
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Below is data from the quote page that includes
the category for FCNTX. Fill in the spread sheet.
What is the category of the other mutual funds
you're analyzing?
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30. Portfolio Management (4)
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I think it's important to compare the Price Earnings ratio, P/E (I will
explain the importance of the P/E in security analysis course), to the
growth rate. The P/E should be no more than 2 times the growth rate.
You can get this data from the “Portfolio” link. Below is the data we need,
the P/E (first item) is 11.39, long-term earnings% growth is 7.73. This
valuation is reasonable. The portfolio manager is not paying too much for
growth.
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By the way, the other valuation metrics listed for FCNTX are reasonable.
They are investing in undervalued stocks.
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31. Portfolio Management (5)
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In slide 3, one way a mutual fund makes money is the dividend.
The dividend can be found on the quote page, see below. The
yield, dividend is .34%. This is a very small yield. Most of the
money made will be short and long-term profits and appreciation.
Add this number to your spread sheet.
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32. Portfolio Management (6)
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The Morningstar portfolio link will provide us more information on
how the portfolio is managed: The information below shows
portfolio allocation. Use this information to fill in columns G, H of
your spread sheet.
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The portfolio has no cash (a cash cushion this late in the cycle
would be a good thing), is made up of domestic and foreign stocks
and are giant and large companies (market capitalization)
33. Portfolio Management (7)
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Style can tell us if a portfolio is conservative or aggressive. Small
stocks managed for growth would be considered aggressive. Large
stocks managed with value in mind would be considered
conservative. The Portfolio Morningstar link does have this
information. The style boxes indicate there is no style drift ( to be
discussed in meeting/class)
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34. Portfolio Management (8)
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Slide 19, management tenure, if the performance belongs to
current manager, then we can consider the mutual fund as an
investment. Now we can enter management tenure and bio info
into the spreadsheet.
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Here is what the Portfolio Management tab should look like:
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Overall FCNTX is conservative (P/E to Growth, Value, Large Cap).
Concentration in one industry would be considered risky.
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35. Other Metrics – Misc.
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I believe the three most important criteria for mutual investing are
1. Performance 2. Tenure 3. Risk
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The last metrics we will look at can also help you pick a mutual
fund.
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Most of these metrics, charts can be found on the quote page:
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36. Other Metrics – Misc.
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Size – Funds that are too small (less than $300 million) tend
to have larger fees and more volatile . Funds that are too
big(over $20 billion) tend to be conservative and normally
have lower performance.
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EXP% - To some investors, expenses/fees are very
important and should be low. I believe performance trumps
fees. If the manager is good, they are worth paying for.
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T/O – Turnover tells us how often the portfolio changes over
a year. FCNTX has a 45% turn over means the portfolio
changes about every 2.22 years (1 year divided by 45%). A
T/O low figure (< 1) normally means the portfolio is managed
conservatively . A high T/O figure (>1.5). means the portfolio
changes are a lot, and this is risky.
37. MISC- PRICE ANALYSIS
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A picture is worth a thousand words. Since this is true it is important to look at a chart of
the price action of the asset/mutual fund.
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What do you see in this chart?
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38. MISC- PRICE ANALYSIS
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Here are a few observations that I have made:
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The fund had a dramatic collapse in 2008 during the “financial crisis”
that started in 2008.
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The fund has more than doubled (from $15 to $35) in about 2 years.
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The fund looks like it has resistance (selling) at the $35 area.
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Notice that before the fall, the fund moved sideways from around the
$30 to $35 areas. Also, notice that prices moved sideways last year from
around $23 to $27. Most asset prices spend a lot of time going sideways.
I will have a separate course on price analysis.
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When an asset has moved this much in a short period of time, start with
a small amount and then invest again on a pullback. We might be able to
add at the low $30 area if prices follow the same patter before the bear
market of 2008.
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Now complete your spreadsheet, Misc worksheet.
39. MISC- PRICE ANALYSIS
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What you can learn from a price chart:
resistance, current trend (up, down, sideways),
potential entry and exit points, high and low
(volatility).
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Here is what the worksheet should look like:
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40. QUIZ
1. What is a mutual fund?
2. Name 4 advantages of a mutual fund.
3. Name 2 disadvantages of a mutual fund.
4. Name 3 ways you can make money in a mutual fund
5. According to Dan, what are the 4 most important criteria in selecting a mutual fund to invest
in?
6. Name 3 things to look for when analyzing performance.
7. What time frame should you consider when looking at a track record?
41. QUIZ
7. What time frame should you consider when analyzing a track record?
8. What type of risk would a mutual fund with above average returns have?
9. Name 4 ways to measure risk.
10. Name 3 ways you can determine if a mutual fund is conservative or risky?
11. Name 3 other metrics you could use in selecting a mutual fund?
12. What can you learn from analyzing a price chart?
44. EXERCISE
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There are thousands of mutual funds. How do you know which
mutual fund to invest in?
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There are many screening tools that many financial/investment
websites have.
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Morningstar has one. Here is the link.
http://www.morningstar.com/Cover/Funds.aspx
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The screens are in the middle of the page.
45. EXERCISE
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Now that you know how to analyze and select a mutual
fund, use the Morningstar fund screener to find a mutual
fund that meets your risk/reward criteria.