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This chapter summarizes essential concepts and issues crucial for informed decision-making in finance, focusing on return, risk, and risk aversion. It explores the determinants of interest rates, including supply and demand factors like households, businesses, and government actions. It introduces models of risk and portfolio theory, explaining how to measure returns, variance, and utility, and addresses the implications of risk aversion for investors. Historical records and examples illustrate risk premiums and real returns to guide investment strategies.
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Chapter 5 Concepts and Issues: Return, Risk and Risk Aversion
Chapter Summary • Objective: To introduce key concepts and issues that are central to informed decision making • Determinants of interest rates • The historical record • Risk and risk aversion • Portfolio risk
Factors Influencing Rates • Supply • Households • Demand • Businesses • Government’s Net Supply and/or Demand • Central Bank Actions
Interest Rates Supply r1 r0 Demand Q0 Funds Q1 Level of Interest Rates
Real vs. Nominal Rates Fisher effect: Approximation R = r + i or r = R - i Example: r = 3%, i = 6% R = 9% = 3%+6% or r = 3% = 9%-6% Fisher effect: Exact or Numerically:
Rates of Return: Single Period HPR = Holding Period Return P0 = Beginning price P1 = Ending price D1 = Dividend during period one
Rates of Return: Single Period Example Ending Price = 48 Beginning Price = 40 Dividend = 2
Characteristics of Probability Distributions 1) Mean: most likely value 2) Variance or standard deviation 3) Skewness * If a distribution is approximately normal, the distribution is described by characteristics 1 and 2
s.d. s.d. r Symmetric distribution Normal Distribution
Measuring Mean: Scenario or Subjective Returns Subjective returns ‘s’ = number of scenarios considered pi = probability that scenario ‘i’ will occur ri = return if scenario ‘i’ occurs
Numerical example: Scenario Distributions E(r) = (.1)(-.05)+(.2)(.05)...+(.1)(.35) E(r) = .15 = 15%
Measuring Variance or Dispersion of Returns Subjective or Scenario Distributions Standard deviation = [variance]1/2 = s Using Our Example: s2=[(.1)(-.05-.15)2+(.2)(.05- .15)2+…] =.01199 s= [ .01199]1/2 = .1095 = 10.95%
Summary Reminder • Objective: To introduce key concepts and issues that are central to informed decision making • Determinants of interest rates • The historical record • Risk and risk aversion • Portfolio risk
Summary Reminder • Objective: To introduce key concepts and issues that are central to informed decision making • Determinants of interest rates • The historical record • Risk and risk aversion • Portfolio risk
p = .6 W1 = 150; Profit = 50 1-p = .4 W2 = 80; Profit = -20 Risk - Uncertain Outcomes W = 100 E(W) = pW1 + (1-p)W2 = 122 s2 = p[W1 - E(W)]2 + (1-p) [W2 - E(W)]2 s2 = 1,176 and s = 34.29%
p = .6 W1 = 150 Profit = 50 Risky Investment W2= 80 Profit = -20 1-p = .4 Risk Free T-bills Profit = 5 Risky Investments with Risk-Free Investment 100 Risk Premium = 22-5 = 17
Risk Aversion & Utility • Investor’s view of risk • Risk Averse • Risk Neutral • Risk Seeking • Utility • Utility Function U = E ( r ) – .005 A s2 • A measures the degree of risk aversion
T-bill = 5% Risk Aversion and Value: The Sample Investment U = E ( r ) - .005 A s2 = 22% - .005 A (34%) 2 Risk AversionAUtility High 5 -6.90 3 4.66 Low 1 16.22
Expected Return 4 2 3 1 Variance or Standard Deviation Dominance Principle • 2 dominates 1; has a higher return • 2 dominates 3; has a lower risk • 4 dominates 3; has a higher return
Utility and Indifference Curves • Represent an investor’s willingness to trade-off return and risk Example (for an investor with A=4):
Expected Return Increasing Utility Standard Deviation Indifference Curves
Summary Reminder • Objective: To introduce key concepts and issues that are central to informed decision making • Determinants of interest rates • The historical record • Risk and risk aversion • Portfolio risk
Portfolio Mathematics:Assets’ Expected Return Rule 1 : The return for an asset is the probability weighted average return in all scenarios.
Portfolio Mathematics:Assets’ Variance of Return Rule 2: The variance of an asset’s return is the expected value of the squared deviations from the expected return.
Portfolio Mathematics: Return on a Portfolio Rule 3: The rate of return on a portfolio is a weighted average of the rates of return of each asset comprising the portfolio, with the portfolio proportions as weights. rp = w1r1 + w2r2
Portfolio Mathematics:Risk with Risk-Free Asset Rule 4: When a risky asset is combined with a risk-free asset, the portfolio standard deviation equals the risky asset’s standard deviation multiplied by the portfolio proportion invested in the risky asset.
Portfolio Mathematics:Risk with two Risky Assets Rule 5: When two risky assets with variances s12 and s22 respectively, are combined into a portfolio with portfolio weights w1 and w2, respectively, the portfolio variance is given by: