Chapter 11 – Introduction to Risk Analysis u Why do individuals, companies, and stockholders take risks?

Slides:



Advertisements
Similar presentations
Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Managerial Economics, 9e Managerial Economics Thomas Maurice.
Advertisements

Chapter 3, Numerical Descriptive Measures
Risk and Rates of Return Besley: Chapter 5 Pages
Chapter 15: Decisions Under Risk and Uncertainty McGraw-Hill/Irwin Copyright © 2011 by the McGraw-Hill Companies, Inc. All rights reserved.
McGraw-Hill/Irwin Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 15 Decisions under Risk and Uncertainty.
Principles of Corporate Finance Session 29 Unit IV: Risk & Return Analysis.
Lecture Presentation Software to accompany Investment Analysis and Portfolio Management Seventh Edition by Frank K. Reilly & Keith C. Brown Chapter.
QUANTITATIVE DATA ANALYSIS
Uncertainty and Consumer Behavior
DESCRIBING DATA: 2. Numerical summaries of data using measures of central tendency and dispersion.
Mutual Investment Club of Cornell Week 8: Portfolio Theory April 7 th, 2011.
Chapter 5: Risk and Rates of Return
Probability and Statistics Review
Introduction to Educational Statistics
Chapter 14 Risk and Uncertainty Managerial Economics: Economic Tools for Today’s Decision Makers, 4/e By Paul Keat and Philip Young.
AN INTRODUCTION TO PORTFOLIO MANAGEMENT
Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 1 Managerial Economics.
Trieschmann, Hoyt & Sommer Risk Identification and Evaluation Chapter 2 ©2005, Thomson/South-Western.
Steve Paulone Facilitator Standard Deviation in Risk Measurement  Expected returns on investments are derived from various numerical results from a.
Quiz 2 Measures of central tendency Measures of variability.
Copyright © 2005 by the McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Managerial Economics Thomas Maurice eighth edition Chapter 15.
© Harry Campbell & Richard Brown School of Economics The University of Queensland BENEFIT-COST ANALYSIS Financial and Economic Appraisal using Spreadsheets.
QA in Finance/ Ch 3 Probability in Finance Probability.
Measuring Returns Converting Dollar Returns to Percentage Returns
Version 1.2 Copyright © 2000 by Harcourt, Inc. All rights reserved. Requests for permission to make copies of any part of the work should be mailed to:
Investment Analysis and Portfolio Management Chapter 7.
Risks and Rates of Return
Requests for permission to make copies of any part of the work should be mailed to: Thomson/South-Western 5191 Natorp Blvd. Mason, OH Chapter 11.
TOPIC THREE Chapter 4: Understanding Risk and Return By Diana Beal and Michelle Goyen.
Chapter 3 Descriptive Statistics: Numerical Methods Copyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved.McGraw-Hill/Irwin.
Copyright © 2009 Pearson Prentice Hall. All rights reserved. Chapter 5 Risk and Return.
Decision Making Under Uncertainty and Risk 1 By Isuru Manawadu B.Sc in Accounting Sp. (USJP), ACA, AFM
Chapter 13 Risk Analysis Dr Loizos Christou. Risk and Uncertainty Risk –Situation where there is more than one possible outcome to a decision and the.
© 2007 Thomson Delmar Learning, a part of the Thomson Corporation Chapter 2 Fundamentals of Price Risk.
Research Process Parts of the research study Parts of the research study Aim: purpose of the study Aim: purpose of the study Target population: group whose.
McGraw-Hill/Irwin Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 3 Descriptive Statistics: Numerical Methods.
Describing Data Using Numerical Measures. Topics.
Chapter 5 Choice Under Uncertainty. Chapter 5Slide 2 Topics to be Discussed Describing Risk Preferences Toward Risk Reducing Risk The Demand for Risky.
Copyright © 2009 Pearson Prentice Hall. All rights reserved. Chapter 5 Risk and Return.
Decision making Under Risk & Uncertainty. PAWAN MADUSHANKA MADUSHAN WIJEMANNA.
Business Statistics, A First Course (4e) © 2006 Prentice-Hall, Inc. Chap 3-1 Chapter 3 Numerical Descriptive Measures Business Statistics, A First Course.
Chapter McGraw-Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved. Risk and Capital Budgeting 13.
Uncertainty and Consumer Behavior Chapter 5. Uncertainty and Consumer Behavior 1.In order to compare the riskiness of alternative choices, we need to.
Chapter Eight: Using Statistics to Answer Questions.
Chapter 11 Risk and Rates of Return. Defining and Measuring Risk Risk is the chance that an unexpected outcome will occur A probability distribution is.
Risk Analysis in Capital Budgeting. Nature of Risk Risk exists because of the inability of the decision-maker to make perfect forecasts. the risk associated.
1 THE FUTURE: RISK AND RETURN. 2 RISK AND RETURN If the future is known with certainty, all investors will hold assets offering the highest rate of return.
BASIC STATISTICAL CONCEPTS Chapter Three. CHAPTER OBJECTIVES Scales of Measurement Measures of central tendency (mean, median, mode) Frequency distribution.
Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
Section Means and Variances of Random Variables AP Statistics
Applied Quantitative Analysis and Practices LECTURE#07 By Dr. Osman Sadiq Paracha.
1 Day 1 Quantitative Methods for Investment Management by Binam Ghimire.
McGraw-Hill/Irwin Copyright © 2006 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 5 Understanding Risk.
CHAPTER 3 RISK AND RETURN. ©Correia, Flynn, Uliana & Wormald 2 Learning Objectives By the end of the chapter, you should be able to; n Distinguish between.
Statistics Josée L. Jarry, Ph.D., C.Psych. Introduction to Psychology Department of Psychology University of Toronto June 9, 2003.
PowerPoint Slides by Robert F. BrookerCopyright (c) 2001 by Harcourt, Inc. All rights reserved. Managerial Economics in a Global Economy Chapter 13 Risk.
Money and Banking Lecture 11. Review of the Previous Lecture Application of Present Value Concept Internal Rate of Return Bond Pricing Real Vs Nominal.
Risk Identification and Evaluation Chapter 2
Chapter 5 Understanding Risk
Chapter 15: Decisions Under Risk and Uncertainty
Decisions Under Risk and Uncertainty
Statistical Analysis Urmia University
Chapter Five Understanding Risk.
Descriptive Statistics: Numerical Methods
Managerial Economics in a Global Economy
Numerical Descriptive Measures
Chapter 15 Decisions under Risk and Uncertainty
LEARNING OBJECTIVES Adjust for risk by varying the discount rate
Probability and the Normal Curve
Chapter 15: Decisions Under Risk and Uncertainty
Presentation transcript:

Chapter 11 – Introduction to Risk Analysis u Why do individuals, companies, and stockholders take risks?

Terminology u Risk - possibility of an undesired outcome u Probability - expected relative frequency of an event

Terminology u Risk and uncertainty u Risk - probabilities of outcomes is known -- casino u Uncertainty - outcomes not known with certainty – reality u Probability distributions - u discrete - number of probability occurrences is finite u continuous - infinite number of occurrence - range of outcomes

Terminology u Subjective versus objective probability u Subjective - someone’s opinion u Objective - can be measured

Terminology u Variation versus event risk u Event risk - probability of a certain, such as bankruptcy u Variation risk- probability of a range of outcomes around an event u typically measured by standard deviation

Terminology u Diversifiable versus nondiversifiable risk u Diversifiable risk -- risk that can be reduced or eliminated by combining one investment with another u Must have a correlation less than +1 u Nondiversifiable risk -- risk that remains after combining large numbers of projects

Probability Rules u Mutually exclusive events - u add the probabilities of the events u Independent events u build a table of possible combinations of events u multiply the probabilities to get table values u Dependent events u build a table where the probabilities of outcomes for the second event are dependent on the first event

Stages of Risk Measurement u Stage 1 -- Descriptive and Subjective u listing of things that might go wrong u good for identifying the important variables u Stage 2 -- Sensitivity analysis u look at possible outcomes over a range of values for a critical variable (such as sales) u do not attempt to assign probabilities u example -- breakeven analysis

Stages of Risk Measurement u Stage 3 -- Event probability u assign probabilities to the various outcomes u one in ten chance of bankruptcy u Stage 4 -- Summary measures of probability distributions u Measures of central tendency u Measures of dispersion

Summary Measures: Central Tendency u Expected value: possibilities time probabilities u Median: Center outcome; probability of outcome above median equals probability of outcome below median. u Mode: Most common outcome u Geometric mean (Pi = probability of outcome i): [(1+ return 1 )^P 1 ][(1+ return 2 )^P 2 ]....

Summary Measures: Dispersion u Variance u Multiply squared distances from the expected value by the probability, then sum u Standard deviation u Square root of the variance u Same unit of measure as the original problem u Coefficient of variation u standard deviation/ expected value u adjust for the scale of the project

Summary Measures: Dispersion u Semivariance u computed like variance, but considers only outcomes below the expected value u used when the distribution is not normal (skewed) u Quartile range u There is a 25% probability of a value greater than X and a 25% probability of a value less than Y

Summary Measures u Normal distributions and standard deviations u using a z-table you can find the area under the normal curve (probability of a range of outcomes)

Utility Theory u Assumptions u Completeness -- you can judge your preference in all situations u Rational -- consistent in judgements order of presentation does not matter u Transitivity -- if A is preferred over B and B is preferred over C then A is preferred over C

Utility Theory u Types of utility functions u Increasing -- risk seeker or lover -- will pay to take the riskier project -- casinos and lottery tickets u Constant -- risk neutral -- is indifferent to risk -- will accept the same expected return for risky as well as safe projects u Decreasing -- risk averse -- prefer safety to risk and must be compensated for accepting additional risk

Utility Theory u Problems with utility functions in reality u Hard to measure u Whose utility should we measure? u Once measured then the decision can be made by the analyst u Utility theory is important to arbitrage pricing theory u equal expected utilities should have equal prices

Risk Perspectives u Single investment perspective u Proposing manager -- Chapter 12 u Company perspective u Senior management and board -- Chapter 13 u Shareholder perspective u Shareholder -- Chapter 14 u Contingent claims u Option writer, debt-holder -- Chapter 15 u Overall economy u Everybody