Lawrence D. Schall (Professor of Finance and Business Economics, University of Washington)
Gary L. Sundem (Associate Professor of Accounting, University of Washington)
William R. Geijsbeek, Jr. (Finance Manager, The Boeing Company)
This powerpoint presentation was done as part of the course STAT 591 titled Mater's Seminar during Third semester of MSc. Agricultural Statistics at Agricultural College, Bapatla under ANGRAU, Andhra Pradesh.
This document discusses using stochastic programming to integrate uncertainty into forest management planning. It aims to produce robust forest plans that can accommodate uncertainties like inventory errors and climate change. The document describes generating scenarios to represent uncertainties and approximating their distributions. It presents a sample forest planning problem formulated as a stochastic program to maximize first period income while meeting even flow and end inventory constraints. Results are shown for cases with and without inventory and growth model errors. The document concludes that stochastic programs can outperform deterministic equivalents while not requiring an enormously large problem size depending on the level of uncertainty.
Application of probability in daily life and in civil engineeringEngr Habib ur Rehman
This document provides examples of how statistics are used in various fields including civil engineering, real life situations, and the sciences. It discusses how statistics are applied in areas like weather forecasting, emergency preparedness, psychology, the stock market, predicting disease, education, genetics, political campaigns, quality testing, banking, business, insurance, consumer goods, management, medical studies, large companies, and the natural and social sciences. It also provides specific examples of applying statistics in civil engineering domains such as sanitary engineering, traffic engineering, surveying, coastal/port engineering, geotechnical engineering, hydrology, environmental engineering, earthquake engineering, and structural engineering.
Quantitative Math - MATH 132
Credits: Group 4 Reporters S.Y. 2015-2016
The ppt has animations, you'll appreciate the presentation if you'll download it. Thank you
This document discusses the many uses of statistics in civil engineering and in daily life. It begins by defining statistics and then provides examples of how statistics are used in weather forecasting, emergency preparedness, psychology, the stock market, predicting disease, education, genetics, political campaigns, quality testing, banking, business management, insurance, consumer goods, government administration, medical studies, large companies, natural and social sciences, astronomy, sanitary engineering, traffic engineering, surveying, coastal engineering, geotechnical engineering, hydrology, environmental engineering, earthquake engineering, and structural engineering. Statistics are essential for planning experiments, collecting and analyzing data, and drawing conclusions in these diverse fields.
This document discusses the use of statistics in real life, business, and good governance. It notes that statistics are used at every stage of human life and activities, and are important for employment opportunities, minimizing uncertainty, and running businesses successfully by understanding consumer behavior, product design, quality control, and market research. The document also emphasizes that good governance relies on evidence-based policymaking, transparency, and using statistics and data to ensure effectiveness, accountability, and access to information. It outlines India's current statistical system and quality measures needed to make statistics useful, as well as recent developments like the National Statistical Commission and Result Framework Documents.
International Food Policy Research Institute (IFPRI) organized a three days Training Workshop on ‘Monitoring and Evaluation Methods’ on 10-12 March 2014 in New Delhi, India. The workshop is part of an IFAD grant to IFPRI to partner in the Monitoring and Evaluation component of the ongoing projects in the region. The three day workshop is intended to be a collaborative affair between project directors, M & E leaders and M & E experts. As part of the workshop, detailed interaction will take place on the evaluation routines involving sampling, questionnaire development, data collection and management techniques and production of an evaluation report. The workshop is designed to better understand the M & E needs of various projects that are at different stages of implementation. Both the generic issues involved in M & E programs as well as project specific needs will be addressed in the workshop. The objective of the workshop is to come up with a work plan for M & E domains in the IFAD projects and determine the possibilities of collaboration between IFPRI and project leaders.
This powerpoint presentation was done as part of the course STAT 591 titled Mater's Seminar during Third semester of MSc. Agricultural Statistics at Agricultural College, Bapatla under ANGRAU, Andhra Pradesh.
This document discusses using stochastic programming to integrate uncertainty into forest management planning. It aims to produce robust forest plans that can accommodate uncertainties like inventory errors and climate change. The document describes generating scenarios to represent uncertainties and approximating their distributions. It presents a sample forest planning problem formulated as a stochastic program to maximize first period income while meeting even flow and end inventory constraints. Results are shown for cases with and without inventory and growth model errors. The document concludes that stochastic programs can outperform deterministic equivalents while not requiring an enormously large problem size depending on the level of uncertainty.
Application of probability in daily life and in civil engineeringEngr Habib ur Rehman
This document provides examples of how statistics are used in various fields including civil engineering, real life situations, and the sciences. It discusses how statistics are applied in areas like weather forecasting, emergency preparedness, psychology, the stock market, predicting disease, education, genetics, political campaigns, quality testing, banking, business, insurance, consumer goods, management, medical studies, large companies, and the natural and social sciences. It also provides specific examples of applying statistics in civil engineering domains such as sanitary engineering, traffic engineering, surveying, coastal/port engineering, geotechnical engineering, hydrology, environmental engineering, earthquake engineering, and structural engineering.
Quantitative Math - MATH 132
Credits: Group 4 Reporters S.Y. 2015-2016
The ppt has animations, you'll appreciate the presentation if you'll download it. Thank you
This document discusses the many uses of statistics in civil engineering and in daily life. It begins by defining statistics and then provides examples of how statistics are used in weather forecasting, emergency preparedness, psychology, the stock market, predicting disease, education, genetics, political campaigns, quality testing, banking, business management, insurance, consumer goods, government administration, medical studies, large companies, natural and social sciences, astronomy, sanitary engineering, traffic engineering, surveying, coastal engineering, geotechnical engineering, hydrology, environmental engineering, earthquake engineering, and structural engineering. Statistics are essential for planning experiments, collecting and analyzing data, and drawing conclusions in these diverse fields.
This document discusses the use of statistics in real life, business, and good governance. It notes that statistics are used at every stage of human life and activities, and are important for employment opportunities, minimizing uncertainty, and running businesses successfully by understanding consumer behavior, product design, quality control, and market research. The document also emphasizes that good governance relies on evidence-based policymaking, transparency, and using statistics and data to ensure effectiveness, accountability, and access to information. It outlines India's current statistical system and quality measures needed to make statistics useful, as well as recent developments like the National Statistical Commission and Result Framework Documents.
International Food Policy Research Institute (IFPRI) organized a three days Training Workshop on ‘Monitoring and Evaluation Methods’ on 10-12 March 2014 in New Delhi, India. The workshop is part of an IFAD grant to IFPRI to partner in the Monitoring and Evaluation component of the ongoing projects in the region. The three day workshop is intended to be a collaborative affair between project directors, M & E leaders and M & E experts. As part of the workshop, detailed interaction will take place on the evaluation routines involving sampling, questionnaire development, data collection and management techniques and production of an evaluation report. The workshop is designed to better understand the M & E needs of various projects that are at different stages of implementation. Both the generic issues involved in M & E programs as well as project specific needs will be addressed in the workshop. The objective of the workshop is to come up with a work plan for M & E domains in the IFAD projects and determine the possibilities of collaboration between IFPRI and project leaders.
This document discusses statistics, including its definition as a branch of mathematics dealing with data collection, organization, analysis, interpretation and presentation. It then provides examples of how statistics are important in financial markets, quality testing, and election predictions. Next, it defines classification as the grouping of related facts into classes and describes four methods of classification: geographical, chronological, qualitative, and quantitative. Finally, it lists three limitations of statistics, which are that it concerns quantitative data, does not study individuals but aggregates, and requires experts to properly handle statistical data.
This document provides an overview of operations management forecasting models and their applications. It defines forecasting and lists its common uses. The key components of a forecast and the forecasting process are described. Both qualitative and quantitative forecasting approaches are discussed, along with their advantages and disadvantages. Specific forecasting techniques covered include time series methods, regression methods, moving averages, exponential smoothing, and naive forecasts. Examples are provided to illustrate weighted moving averages and exponential smoothing.
This document discusses qualitative forecasting techniques for market research. It outlines that qualitative techniques are subjective and based on expert opinions and consumer judgments, and are appropriate when past data is unavailable. They are usually applied to intermediate and long range decisions. Some specific qualitative methods mentioned include informed opinion and judgment, market research, the Delphi method, historical life-cycle analogy, and salesperson forecasts.
This lesson begins with background information about forecasting and continues discussing the forecasting process. We concentrate on four main steps: set an objective, build model, evaluate model, and use model.
The document discusses predicting aircraft damage from bird strikes using machine learning models. It describes analyzing a dataset of over 99,000 bird strike incident records to build decision tree and logistic regression models to classify whether strikes caused damage. The logistic regression model had the best performance with 79.6% accuracy. Areas for improving the models include handling large amounts of missing data and accounting for the rare event of damage occurring.
The document discusses developing indicators for monitoring forest governance. It outlines a workshop that will cover creating reliable indicators, IFRI research and data, preliminary analyses using random forests, and how indicators can inform interventions. IFRI has long-term data on social, ecological and institutional factors from sites in 11 countries. Random forest analysis is useful for exploring these complex datasets and identifying important variables and interactions that predict outcomes of interest for forest governance. The results can indicate what actions may positively or negatively impact forest outcomes depending on local conditions and causal processes. Developing reliable indicators is an ongoing process that adapts to changing relationships and behaviors over time and place.
This document summarizes a presentation on a survey and analysis of capital budgeting techniques. The presentation:
1) Surveyed 407 large US firms on their use of capital budgeting techniques like payback period, accounting rate of return, internal rate of return, and net present value. It found the most popular technique was payback period, used by 74% of firms.
2) Analyzed the discount rates used, finding the weighted average cost of capital was most common. The average after-tax discount rate was 11.4%.
3) Found project risk was usually assessed subjectively, with 60% of respondents using subjective judgment for risk assessment.
The document summarizes a study on capital budgeting methods used by large US firms. The study found that: (1) Over 86% of firms use more than one capital budgeting technique, with payback period and internal rate of return being the most popular. (2) After-tax weighted average cost of capital is commonly used to determine discount rates. (3) Project risk is usually assessed subjectively through qualitative judgments rather than quantitative methods. The study shows increasing sophistication and use of capital budgeting techniques among large firms over time.
Impact of Firm Size on Capital Budgeting Techniques: An Empirical Study of Te...Muhammad Arslan
This study examines the type of capital budgeting methods used by textile firms in Pakistan and impact of firm
size on these methods. This study also investigates the relationship between the total assets of the firm and
annual turnover of the firm according to primary capital budgeting technique used. Questionnaire method is used
as a source of gathering primary data. SPSS is used as tool for analysis of data. Cross tabulation is applied on
each variable. Chi square test is also applied to investigate the relationship between total assets of firm and total
turnover of the firm according to primary capital budgeting technique used. Findings of this study reveal that net
present value method and internal rate of return are two mostly used methods. Findings also show that there is no
relationship between the total assets of the firms and turnover of the firm according to capital budgeting
technique used by firms. These results are well supported by the literature.
Exploring hedging practices and policies of power and utility firmsHarish Narayanan
The document summarizes the findings of a survey of 15 power and utility firms regarding their hedging practices and policies. Key findings include:
1) Most firms maintained formally defined and governed hedging programs, though regulators played a less direct role than internal stakeholders.
2) Firms faced consistent regulatory environments and had similar hedging objectives, resulting in broadly consistent approaches.
3) Dynamic industry factors may require changes to policies, but firms had not made changes in response yet.
The document discusses methods for calculating contingency and management reserves for project budgets. It recommends generating a point estimate and then quantifying all project risks using techniques like three point estimates, AHP, decision trees and Monte Carlo simulation. Risk dollars should be allocated as reserves proportionate to each work package's riskiness. Management reserve covers the amount above the confidence level, usually 50-70%, to account for unforeseen risks. Proper reserve calculation and allocation helps ensure project success and business success.
Evaluating various methods of capital budgetingmmakani
The document provides a comprehensive report on evaluating various methods of capital budgeting. It discusses key methods like net present value (NPV), internal rate of return (IRR), payback period, accounting rate of return. It also reviews literature on capital budgeting techniques used in foreign and Indian companies. The report finds that Indian companies increasingly use discounted cash flow methods like NPV and IRR for capital budgeting decisions, though payback period remains popular. Sensitivity analysis is a commonly used technique for incorporating risk into capital budgeting.
https://utilitasmathematica.com/index.php/Index/
Utilitas Mathematica by making commits to strengthening our professional community. This journal is published by Utilitas Mathematica Academy provides all over. Utilitas Mathematica international level in terms of research provides worldwide.
https://utilitasmathematica.com/index.php/Index/
Utilitas Mathematica by making commits to strengthening our professional community. This journal is published by Utilitas Mathematica Academy provided all over. Utilitas Mathematica international level in terms of research provides worldwide.
https://goo.gl/maps/Pkz14omBWry4czBcA
Box 7, University Centre University of Manitoba Winnipeg, Manitoba R3T 2N2
This document summarizes past research on capital budgeting practices in the United States and surveys capital budgeting practices in six Asia-Pacific countries. A survey was conducted of large companies in Australia, Hong Kong, Indonesia, Malaysia, the Philippines, and Singapore. The survey found that discounted cash flow techniques like NPV and IRR were considered important but companies varied in their use of discount rates. Risk assessment favored scenario and sensitivity analysis over CAPM.
Management techniques are methods used to accomplish objectives and control resources. They include project management, statistical analysis, decision theory, cost accounting, and budgeting. Project management focuses on targets while program management focuses on long-term benefits. Techniques are classified by management level and type of resource. Common techniques include system analysis, forecasting, cost-benefit analysis, and zero-based budgeting. System analysis breaks problems into components to study interactions and identify solutions. Forecasting uses historical data to predict future trends. Cost-benefit analysis expresses benefits in monetary terms to evaluate alternatives. Zero-based budgeting requires yearly justification of all budget items.
This document summarizes a survey analyzing receivables practices in American corporations. The survey was conducted through a mail survey of 89 credit managers from American firms. The survey covered presale, postsale, and ongoing receivables issues. Key findings included that firms use multiple methods for credit decisions and monitoring to decrease costs while minimizing late payments. Firms also set credit limits and used varied collection methods to speed cash flows. The conclusion was that overall, the surveyed firms' receivables practices worked to maximize shareholder wealth through decreased costs and increased cash flows. However, the small sample size limited generalization of the results.
Demand forecasting involves anticipating future demand for an organization's products and services under uncertain competitive conditions. Accurate forecasts are essential for production planning, purchasing inputs, and other business decisions. There are qualitative and quantitative forecasting methods. Qualitative methods include consumer surveys, salesforce opinions, and expert panels. Quantitative methods use historical sales data and statistical analysis, such as time series analysis, regression analysis, and econometric modeling of economic factors. Accurate demand forecasting is important for production planning, sales forecasting, inventory control, and long-term strategic planning.
Demand forecasting involves predicting future demand. Key factors in demand forecasting include the period, type of goods, competition level, price, and technology. Demand forecasting is used for short-term purposes like production planning and long-term purposes like capacity planning. Determinants of demand include price, income, related goods prices, tastes, and expectations. Forecasting methods for new products include analyzing substitutes, existing products, consumer opinions, expert opinions, and market tests. Good forecasting methods are accurate, durable, flexible, acceptable, available, and plausible. Macro-level factors like income, investment, population, government spending, and credit policy influence demand forecasts. Recent trends include greater importance of demand forecasting, use
Quantitative techniques are statistical and mathematical methods used to support decision making, especially related to business. They help quantify planning factors and alternatives using tools like linear programming, break-even analysis, and simulation. Quantitative techniques are goal-oriented and aim to find optimal solutions under constraints using quantitative data and models. They provide a systematic approach to managerial decision making and help improve quality of solutions.
Demand forecasting involves anticipating future demand for a company's products and services under uncertain competitive conditions. It is essential for production planning, purchasing raw materials, and other business decisions. Demand can be forecasted qualitatively using opinion surveys of consumers, salespeople, and experts, or quantitatively using statistical techniques like trend projection, regression analysis, and econometrics that analyze historical demand data and its relationships to economic indicators. Accurate demand forecasting is important for production planning, inventory control, sales forecasting, budgeting, and long-term growth strategies.
This grant request is for $300 to fund an undergraduate research project examining the accounting principles and financial reporting methods within the oil and gas industry. Specifically, the project will compare and evaluate the Successful Efforts Method versus the Full Cost Method and how each affects net income, the balance sheet, and cash flows. The student researcher will conduct a literature review, analyze economic modeling and industry data, create explanatory graphs, and evaluate the impact of different capitalization approaches. The budget covers textbooks on petroleum and oil and gas accounting as well as poster printing for research dissemination. The goals are to better understand the petroleum industry's role in the global economy and accounting practices related to commodity price fluctuations.
This document discusses statistics, including its definition as a branch of mathematics dealing with data collection, organization, analysis, interpretation and presentation. It then provides examples of how statistics are important in financial markets, quality testing, and election predictions. Next, it defines classification as the grouping of related facts into classes and describes four methods of classification: geographical, chronological, qualitative, and quantitative. Finally, it lists three limitations of statistics, which are that it concerns quantitative data, does not study individuals but aggregates, and requires experts to properly handle statistical data.
This document provides an overview of operations management forecasting models and their applications. It defines forecasting and lists its common uses. The key components of a forecast and the forecasting process are described. Both qualitative and quantitative forecasting approaches are discussed, along with their advantages and disadvantages. Specific forecasting techniques covered include time series methods, regression methods, moving averages, exponential smoothing, and naive forecasts. Examples are provided to illustrate weighted moving averages and exponential smoothing.
This document discusses qualitative forecasting techniques for market research. It outlines that qualitative techniques are subjective and based on expert opinions and consumer judgments, and are appropriate when past data is unavailable. They are usually applied to intermediate and long range decisions. Some specific qualitative methods mentioned include informed opinion and judgment, market research, the Delphi method, historical life-cycle analogy, and salesperson forecasts.
This lesson begins with background information about forecasting and continues discussing the forecasting process. We concentrate on four main steps: set an objective, build model, evaluate model, and use model.
The document discusses predicting aircraft damage from bird strikes using machine learning models. It describes analyzing a dataset of over 99,000 bird strike incident records to build decision tree and logistic regression models to classify whether strikes caused damage. The logistic regression model had the best performance with 79.6% accuracy. Areas for improving the models include handling large amounts of missing data and accounting for the rare event of damage occurring.
The document discusses developing indicators for monitoring forest governance. It outlines a workshop that will cover creating reliable indicators, IFRI research and data, preliminary analyses using random forests, and how indicators can inform interventions. IFRI has long-term data on social, ecological and institutional factors from sites in 11 countries. Random forest analysis is useful for exploring these complex datasets and identifying important variables and interactions that predict outcomes of interest for forest governance. The results can indicate what actions may positively or negatively impact forest outcomes depending on local conditions and causal processes. Developing reliable indicators is an ongoing process that adapts to changing relationships and behaviors over time and place.
This document summarizes a presentation on a survey and analysis of capital budgeting techniques. The presentation:
1) Surveyed 407 large US firms on their use of capital budgeting techniques like payback period, accounting rate of return, internal rate of return, and net present value. It found the most popular technique was payback period, used by 74% of firms.
2) Analyzed the discount rates used, finding the weighted average cost of capital was most common. The average after-tax discount rate was 11.4%.
3) Found project risk was usually assessed subjectively, with 60% of respondents using subjective judgment for risk assessment.
The document summarizes a study on capital budgeting methods used by large US firms. The study found that: (1) Over 86% of firms use more than one capital budgeting technique, with payback period and internal rate of return being the most popular. (2) After-tax weighted average cost of capital is commonly used to determine discount rates. (3) Project risk is usually assessed subjectively through qualitative judgments rather than quantitative methods. The study shows increasing sophistication and use of capital budgeting techniques among large firms over time.
Impact of Firm Size on Capital Budgeting Techniques: An Empirical Study of Te...Muhammad Arslan
This study examines the type of capital budgeting methods used by textile firms in Pakistan and impact of firm
size on these methods. This study also investigates the relationship between the total assets of the firm and
annual turnover of the firm according to primary capital budgeting technique used. Questionnaire method is used
as a source of gathering primary data. SPSS is used as tool for analysis of data. Cross tabulation is applied on
each variable. Chi square test is also applied to investigate the relationship between total assets of firm and total
turnover of the firm according to primary capital budgeting technique used. Findings of this study reveal that net
present value method and internal rate of return are two mostly used methods. Findings also show that there is no
relationship between the total assets of the firms and turnover of the firm according to capital budgeting
technique used by firms. These results are well supported by the literature.
Exploring hedging practices and policies of power and utility firmsHarish Narayanan
The document summarizes the findings of a survey of 15 power and utility firms regarding their hedging practices and policies. Key findings include:
1) Most firms maintained formally defined and governed hedging programs, though regulators played a less direct role than internal stakeholders.
2) Firms faced consistent regulatory environments and had similar hedging objectives, resulting in broadly consistent approaches.
3) Dynamic industry factors may require changes to policies, but firms had not made changes in response yet.
The document discusses methods for calculating contingency and management reserves for project budgets. It recommends generating a point estimate and then quantifying all project risks using techniques like three point estimates, AHP, decision trees and Monte Carlo simulation. Risk dollars should be allocated as reserves proportionate to each work package's riskiness. Management reserve covers the amount above the confidence level, usually 50-70%, to account for unforeseen risks. Proper reserve calculation and allocation helps ensure project success and business success.
Evaluating various methods of capital budgetingmmakani
The document provides a comprehensive report on evaluating various methods of capital budgeting. It discusses key methods like net present value (NPV), internal rate of return (IRR), payback period, accounting rate of return. It also reviews literature on capital budgeting techniques used in foreign and Indian companies. The report finds that Indian companies increasingly use discounted cash flow methods like NPV and IRR for capital budgeting decisions, though payback period remains popular. Sensitivity analysis is a commonly used technique for incorporating risk into capital budgeting.
https://utilitasmathematica.com/index.php/Index/
Utilitas Mathematica by making commits to strengthening our professional community. This journal is published by Utilitas Mathematica Academy provides all over. Utilitas Mathematica international level in terms of research provides worldwide.
https://utilitasmathematica.com/index.php/Index/
Utilitas Mathematica by making commits to strengthening our professional community. This journal is published by Utilitas Mathematica Academy provided all over. Utilitas Mathematica international level in terms of research provides worldwide.
https://goo.gl/maps/Pkz14omBWry4czBcA
Box 7, University Centre University of Manitoba Winnipeg, Manitoba R3T 2N2
This document summarizes past research on capital budgeting practices in the United States and surveys capital budgeting practices in six Asia-Pacific countries. A survey was conducted of large companies in Australia, Hong Kong, Indonesia, Malaysia, the Philippines, and Singapore. The survey found that discounted cash flow techniques like NPV and IRR were considered important but companies varied in their use of discount rates. Risk assessment favored scenario and sensitivity analysis over CAPM.
Management techniques are methods used to accomplish objectives and control resources. They include project management, statistical analysis, decision theory, cost accounting, and budgeting. Project management focuses on targets while program management focuses on long-term benefits. Techniques are classified by management level and type of resource. Common techniques include system analysis, forecasting, cost-benefit analysis, and zero-based budgeting. System analysis breaks problems into components to study interactions and identify solutions. Forecasting uses historical data to predict future trends. Cost-benefit analysis expresses benefits in monetary terms to evaluate alternatives. Zero-based budgeting requires yearly justification of all budget items.
This document summarizes a survey analyzing receivables practices in American corporations. The survey was conducted through a mail survey of 89 credit managers from American firms. The survey covered presale, postsale, and ongoing receivables issues. Key findings included that firms use multiple methods for credit decisions and monitoring to decrease costs while minimizing late payments. Firms also set credit limits and used varied collection methods to speed cash flows. The conclusion was that overall, the surveyed firms' receivables practices worked to maximize shareholder wealth through decreased costs and increased cash flows. However, the small sample size limited generalization of the results.
Demand forecasting involves anticipating future demand for an organization's products and services under uncertain competitive conditions. Accurate forecasts are essential for production planning, purchasing inputs, and other business decisions. There are qualitative and quantitative forecasting methods. Qualitative methods include consumer surveys, salesforce opinions, and expert panels. Quantitative methods use historical sales data and statistical analysis, such as time series analysis, regression analysis, and econometric modeling of economic factors. Accurate demand forecasting is important for production planning, sales forecasting, inventory control, and long-term strategic planning.
Demand forecasting involves predicting future demand. Key factors in demand forecasting include the period, type of goods, competition level, price, and technology. Demand forecasting is used for short-term purposes like production planning and long-term purposes like capacity planning. Determinants of demand include price, income, related goods prices, tastes, and expectations. Forecasting methods for new products include analyzing substitutes, existing products, consumer opinions, expert opinions, and market tests. Good forecasting methods are accurate, durable, flexible, acceptable, available, and plausible. Macro-level factors like income, investment, population, government spending, and credit policy influence demand forecasts. Recent trends include greater importance of demand forecasting, use
Quantitative techniques are statistical and mathematical methods used to support decision making, especially related to business. They help quantify planning factors and alternatives using tools like linear programming, break-even analysis, and simulation. Quantitative techniques are goal-oriented and aim to find optimal solutions under constraints using quantitative data and models. They provide a systematic approach to managerial decision making and help improve quality of solutions.
Demand forecasting involves anticipating future demand for a company's products and services under uncertain competitive conditions. It is essential for production planning, purchasing raw materials, and other business decisions. Demand can be forecasted qualitatively using opinion surveys of consumers, salespeople, and experts, or quantitatively using statistical techniques like trend projection, regression analysis, and econometrics that analyze historical demand data and its relationships to economic indicators. Accurate demand forecasting is important for production planning, inventory control, sales forecasting, budgeting, and long-term growth strategies.
This grant request is for $300 to fund an undergraduate research project examining the accounting principles and financial reporting methods within the oil and gas industry. Specifically, the project will compare and evaluate the Successful Efforts Method versus the Full Cost Method and how each affects net income, the balance sheet, and cash flows. The student researcher will conduct a literature review, analyze economic modeling and industry data, create explanatory graphs, and evaluate the impact of different capitalization approaches. The budget covers textbooks on petroleum and oil and gas accounting as well as poster printing for research dissemination. The goals are to better understand the petroleum industry's role in the global economy and accounting practices related to commodity price fluctuations.
Institutional investors are always looking for better ways to increase returns, reduce risk and achieve specific investment goals. Particularly in the wake of the financial crisis, investors have been seeking more robust ways to diversify and reduce risk.
Fund returnsandperformanceevaluationtechniques grinblattbfmresearch
This paper empirically compares three techniques for evaluating mutual fund performance: the Jensen Measure, the Positive Period Weighting Measure, and the Treynor-Mazuy Measure of Total Performance. It does so using a sample of 279 mutual funds and 109 passive portfolios constructed from firm characteristics and industries. The study finds that 1) the performance measures can yield different inferences depending on the benchmark used, 2) measures may detect timing ability differently, and 3) cross-sectional regressions of performance on fund characteristics may provide insights even when individual performance measures lack statistical power.
Demand forecasting can be done using two approaches - obtaining information from experts or consumers, or using past sales data through statistical techniques. [1] Expert surveys include opinion polls and the Delphi technique. [2] Consumer surveys can be a complete enumeration or sample survey. [3] Complex statistical methods include time series analysis, correlation/regression analysis, and simultaneous equation models. Demand forecasting helps with production, financial, and workforce planning as well as decision making.
Valuation Issues in a Changing EnvironmentJohn Glenn
The document summarizes key topics in life science company valuation, including trends in valuation multiples, equity valuation methods, rates of return based on development stage, and equity allocation methodologies. It also discusses regulatory issues and qualitative considerations for pharmaceutical and medical device companies.
Similar to Survey and Analysis of Capital Budgeting Methods (20)
The document summarizes a 1964 study that analyzed the relationship between stock prices, dividends, and retained earnings. The study found that:
1) Previous studies showing a strong relationship between dividends and stock prices were limited by omitted variables and errors.
2) When accounting for factors like firm-specific effects, risk, and earnings growth, the study found no significant basis for dividends having a greater impact on price than retained earnings, except for non-growth stocks.
3) For growth industries, retained earnings seemed to have an equal or greater influence on stock price compared to dividends.
Impact of Corporate Governance on Corporate Sustainable GrowthRaju Basnet Chhetri
This document summarizes a research study that examined the impact of corporate governance practices on corporate sustainable growth in India. The study analyzed data from 139 non-financial companies over 5 years. It found that larger board size and greater presence of family affiliation on the board positively impacted sustainable growth, while higher board independence negatively impacted growth. However, variables like women representation, CEO duality, and board education had no significant effect. The results indicate that corporate governance structures in India differ from Western models and favor less independent boards to achieve long-term sustainable growth.
The document summarizes a research article that evaluates factors influencing expected stock returns. It finds that beta alone does not reliably explain average returns as the Sharpe-Lintner-Black model predicts. Instead, size and book-to-market equity best capture cross-sectional variation, with smaller stocks and those with higher book-to-market ratios tending to generate higher returns. The results hold across different time periods and robustness tests. The findings imply size and book-to-market may proxy for risk factors, allowing their use in portfolio evaluation and return projections if asset pricing is rational.
The Cost of Capital, Corporation Finance and The Theory of InvestmentRaju Basnet Chhetri
This article develops a theory of capital structure and its implications. It proposes three main propositions:
1) The market value of a firm is independent of its capital structure and depends only on expected returns.
2) The expected yield of common stock increases linearly with leverage.
3) The cutoff point for a firm's investments, known as the cost of capital, depends only on expected returns and is unaffected by capital structure.
The authors provide preliminary empirical evidence from utilities and oil companies that supports the first two propositions. They also discuss how the propositions can inform corporate financial planning and investment decisions. The theory contributes a new framework for understanding how capital structure relates to firm valuation and investment.
Security Analysts’ Views of the Financial Ratios of Manufacturers and Retailers Raju Basnet Chhetri
Analysts ranked growth rates as the most important ratios for analyzing manufacturers and retailers. Profitability ratios and valuation ratios were also highly ranked. The ranking of ratio groups differed between the two industries. For retailers, inventory and receivables turnover ratios were more highly ranked than cash flow and dividend ratios. For manufacturers, cash flow and dividend ratios were ranked higher. Eleven ratios were found to have statistically significant differences between the two industries, with R&D expense/sales, MV/BV, and price/sales being more important for manufacturers, and inventory and receivables turnover ratios being more important for retailers.
Chief financial officers’ views of academicians versus practitioners in the f...Raju Basnet Chhetri
This study surveyed chief financial officers to compare their perceptions of finance academics and practitioners. Finance executives rated practitioners higher than academics in knowledge of business, problems facing business, ability to solve practical problems, and generate creative ideas. However, they rated academics higher in knowledge of research methodologies, current research, and ability to develop finance theories. The executives also did not appear to read academic literature. The study found a need for more collaboration between academics and professionals so research can better address real-world business problems.
Financial Assets: Debit vs Equity Securities.pptxWrito-Finance
financial assets represent claim for future benefit or cash. Financial assets are formed by establishing contracts between participants. These financial assets are used for collection of huge amounts of money for business purposes.
Two major Types: Debt Securities and Equity Securities.
Debt Securities are Also known as fixed-income securities or instruments. The type of assets is formed by establishing contracts between investor and issuer of the asset.
• The first type of Debit securities is BONDS. Bonds are issued by corporations and government (both local and national government).
• The second important type of Debit security is NOTES. Apart from similarities associated with notes and bonds, notes have shorter term maturity.
• The 3rd important type of Debit security is TRESURY BILLS. These securities have short-term ranging from three months, six months, and one year. Issuer of such securities are governments.
• Above discussed debit securities are mostly issued by governments and corporations. CERTIFICATE OF DEPOSITS CDs are issued by Banks and Financial Institutions. Risk factor associated with CDs gets reduced when issued by reputable institutions or Banks.
Following are the risk attached with debt securities: Credit risk, interest rate risk and currency risk
There are no fixed maturity dates in such securities, and asset’s value is determined by company’s performance. There are two major types of equity securities: common stock and preferred stock.
Common Stock: These are simple equity securities and bear no complexities which the preferred stock bears. Holders of such securities or instrument have the voting rights when it comes to select the company’s board of director or the business decisions to be made.
Preferred Stock: Preferred stocks are sometime referred to as hybrid securities, because it contains elements of both debit security and equity security. Preferred stock confers ownership rights to security holder that is why it is equity instrument
<a href="https://www.writofinance.com/equity-securities-features-types-risk/" >Equity securities </a> as a whole is used for capital funding for companies. Companies have multiple expenses to cover. Potential growth of company is required in competitive market. So, these securities are used for capital generation, and then uses it for company’s growth.
Concluding remarks
Both are employed in business. Businesses are often established through debit securities, then what is the need for equity securities. Companies have to cover multiple expenses and expansion of business. They can also use equity instruments for repayment of debits. So, there are multiple uses for securities. As an investor, you need tools for analysis. Investment decisions are made by carefully analyzing the market. For better analysis of the stock market, investors often employ financial analysis of companies.
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Abhay Bhutada Leads Poonawalla Fincorp To Record Low NPA And Unprecedented Gr...Vighnesh Shashtri
Under the leadership of Abhay Bhutada, Poonawalla Fincorp has achieved record-low Non-Performing Assets (NPA) and witnessed unprecedented growth. Bhutada's strategic vision and effective management have significantly enhanced the company's financial health, showcasing a robust performance in the financial sector. This achievement underscores the company's resilience and ability to thrive in a competitive market, setting a new benchmark for operational excellence in the industry.
5 Tips for Creating Standard Financial ReportsEasyReports
Well-crafted financial reports serve as vital tools for decision-making and transparency within an organization. By following the undermentioned tips, you can create standardized financial reports that effectively communicate your company's financial health and performance to stakeholders.
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Do elements of globalization, such as Foreign Direct Investment (FDI), negatively affect the ability of countries in the Global South to preserve their culture? This research aims to answer this question by employing a cross-sectional comparative case study analysis utilizing methods of difference. Thailand and Cambodia are compared as they are in the same region and have a similar culture. The metric of difference between Thailand and Cambodia is their ability to preserve their culture. This ability is operationalized by their respective attitudes towards FDI; Thailand imposes stringent regulations and limitations on FDI while Cambodia does not hesitate to accept most FDI and imposes fewer limitations. The evidence from this study suggests that FDI from globally influential countries with high gross domestic products (GDPs) (e.g. China, U.S.) challenges the ability of countries with lower GDPs (e.g. Cambodia) to protect their culture. Furthermore, the ability, or lack thereof, of the receiving countries to protect their culture is amplified by the existence and implementation of restrictive FDI policies imposed by their governments.
My study abroad in Bali, Indonesia, inspired this research topic as I noticed how globalization is changing the culture of its people. I learned their language and way of life which helped me understand the beauty and importance of cultural preservation. I believe we could all benefit from learning new perspectives as they could help us ideate solutions to contemporary issues and empathize with others.
Abhay Bhutada, the Managing Director of Poonawalla Fincorp Limited, is an accomplished leader with over 15 years of experience in commercial and retail lending. A Qualified Chartered Accountant, he has been pivotal in leveraging technology to enhance financial services. Starting his career at Bank of India, he later founded TAB Capital Limited and co-founded Poonawalla Finance Private Limited, emphasizing digital lending. Under his leadership, Poonawalla Fincorp achieved a 'AAA' credit rating, integrating acquisitions and emphasizing corporate governance. Actively involved in industry forums and CSR initiatives, Abhay has been recognized with awards like "Young Entrepreneur of India 2017" and "40 under 40 Most Influential Leader for 2020-21." Personally, he values mindfulness, enjoys gardening, yoga, and sees every day as an opportunity for growth and improvement.
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Independent Study - College of Wooster Research (2023-2024) FDI, Culture, Glo...AntoniaOwensDetwiler
"Does Foreign Direct Investment Negatively Affect Preservation of Culture in the Global South? Case Studies in Thailand and Cambodia."
Do elements of globalization, such as Foreign Direct Investment (FDI), negatively affect the ability of countries in the Global South to preserve their culture? This research aims to answer this question by employing a cross-sectional comparative case study analysis utilizing methods of difference. Thailand and Cambodia are compared as they are in the same region and have a similar culture. The metric of difference between Thailand and Cambodia is their ability to preserve their culture. This ability is operationalized by their respective attitudes towards FDI; Thailand imposes stringent regulations and limitations on FDI while Cambodia does not hesitate to accept most FDI and imposes fewer limitations. The evidence from this study suggests that FDI from globally influential countries with high gross domestic products (GDPs) (e.g. China, U.S.) challenges the ability of countries with lower GDPs (e.g. Cambodia) to protect their culture. Furthermore, the ability, or lack thereof, of the receiving countries to protect their culture is amplified by the existence and implementation of restrictive FDI policies imposed by their governments.
My study abroad in Bali, Indonesia, inspired this research topic as I noticed how globalization is changing the culture of its people. I learned their language and way of life which helped me understand the beauty and importance of cultural preservation. I believe we could all benefit from learning new perspectives as they could help us ideate solutions to contemporary issues and empathize with others.
Independent Study - College of Wooster Research (2023-2024) FDI, Culture, Glo...
Survey and Analysis of Capital Budgeting Methods
1. Survey and Analysis of
Capital Budgeting Methods
Submitted to:
Prof. Dr. Ramji Gautam, and Prof. Dr. Rajan Bahadur Paudel.
Submitted by:
Raju Basnet Chhetri
8 May 2020
A Synopsis on
2. Description of the Article
Title:
• Survey and Analysis of Capital Budgeting Methods
Authors:
• Lawrence D. Schall (Professor of Finance and Business Economics, University of
Washington)
• Gary L. Sundem (Associate Professor of Accounting, University of Washington)
• William R. Geijsbeek, Jr. (Finance Manager, The Boeing Company)
Journal:
• The Journal of Finance, Vol XXXIII, No. 1, March 1978, pp. 281-287.
3. Background
• A Survey by Istvan (1961), Klammer (1972), Fremgren (1973) studied on capital
budgeting methods and concluded that firms are using increasingly
sophisticated capital budgeting techniques.
• The study puts an attempt on updating of such previous studies.
4. Research Gap/Motivation
• The motivation of the study is to assess the recent use of capital budgeting
techniques as an extension of previous research studies.
5. Purpose of the study
1. To find the capital budgeting techniques employed in practice,
2. To explore the computation of discount rate and of cash flows,
3. To identify the method of estimating and adjusting for project risk.
6. Methodology (1/2)
• The study is based on quantitative approach with data collection
by survey.
• The sample size was 407 firms ( due to elimination of 17 firms
from 424 proposed sample) taken from COMPUSTAT tape.
• There were 189 responses with 46.4% response rate.
• As a control of response bias, 16 non-respondents were
randomly called and results analyzed from the responses
obtained from 15 of them. Such firms were slightly sophisticated
in capital budgeting methods and slightly less sophisticated in
risk assessment methods evidencing no significant presence of
response bias.
Data
Collection
7. Methodology (2/2)
• The study uses descriptive statistics like percentage and
frequency distribution for analysis.
• Similarly, the correlation of size of the firms and risk with
sophistication variables was performed to identify some firm
characteristics that might be associated with added
sophistication in capital budgeting techniques.
Tools
8. Results of Survey (1/3)
• Almost 86% of the firms use more than one of the CBTs (PBP,
ARR, IRR, NPV), with 17% using all four.
• The most popular CBT is PBK used by 74%. ARR is used by 58%,
IRR by 65%, and NPV by 56%.
• Over 86% used either IRR or NPV or both.
Capital
Budgeting
Techniques
9. Results of Survey (2/3)
• 46% employ WACC (one third use it in combination with other
methods) and only 8% use a risk-free rate plus a premium for
their risk class.
• After tax discount rate is used by 88% for after tax cash flows.
• The average after tax rate is 11.4% and before tax rate is
14.3%.
• 7% indicated that they used net income directly.
• 18% indicated that they predict cash flows directly.
Calculation
of the
Discount
Rate and
Cash Flows
10. Results of Survey (3/3)
• Over 36% use a quantitative assessment of risk, 4% do not assess
risk, and remaining 60% assess risk only subjectively.
• 23% assign projects to risk classes, and remaining 77% don’t.
• 25% assess project risk by means of probability distribution of
cash flow.
• 10% responded they use sensitivity analysis through open ended
questions.
• 4% calculate covariance of project’s cash flows with cash flows
of other projects.
• Over 57% either ignore risk or assess project riskiness
subjectively.
Risk
Assessment
11. Major Findings
• 57% of the firms using discounting methods (IRR or NPV) (Klammer, 1970) rose to
86% during the study.
• 78% of the firms adjust the capital budgeting techniques for risk by use of
sophisticated methods which was done by 39% of the firms in 1970 (Klammer,
1970) and 67% of firms in 1973 (Fremgren, 1973).
• Analysis of the characteristics of size and risk with sophistication variables
indicated that larger firms use more sophisticated techniques.
• Slight tendency was found for market assessed risk (beta value) to be negatively
associated with sophistication in risk assessment techniques.
12. Limitations
• The sample consisted majorly large firms. Hence, results can’t be generalized
to small firms.
13. Conclusion
• The use of sophisticated capital budgeting techniques is in increasing trend.
• After-tax weighted average cost of capital is common method of determining a
required rate of return.
• Project risk is usually assessed subjectively by major number of firms.
• Most firms require higher rate of return for more risky projects.
• The sample under study gives thin evidence that the level of sophistication in
capital budgeting methods is directly related to the firm’s capital budget size
and inversely related to the firm’s beta value.
14. Reflection from the article
• This is the first article I have encountered with authors from both academic and
practitioner background. Consequentially, the results are useful for both
academicians and practitioners.
• Similarly, the study has beautifully interpreted the results of the survey even by
use of simpler of statistical tools.
• Very simply put, it gives the foundation of understanding of use of capital
budgeting techniques in practice and how firms assess risk.