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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-1 Chapter 5
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-2 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
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-3 Factors Influencing Rates Supply Households Demand Businesses Government’s Net Supply and/or Demand Central Bank Actions
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-4 Q0Q0 Q1Q1 r0r0 r1r1 Funds Interest Rates Supply Demand Level of Interest Rates
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-5 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 Real vs. Nominal Rates or Numerically:
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-6 HPR = Holding Period Return P 0 = Beginning price P 1 = Ending price D 1 = Dividend during period one Rates of Return: Single Period
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-7 Ending Price = 48 Beginning Price = 40 Dividend = 2 Rates of Return: Single Period Example
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-8 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 Characteristics of Probability Distributions
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-9 Symmetric distribution r s.d. Normal Distribution
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-10 Subjective returns ‘s’= number of scenarios considered p i = probability that scenario ‘i’ will occur r i = return if scenario ‘i’ occurs Measuring Mean: Scenario or Subjective Returns
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-11 E(r) = (.1)(-.05)+(.2)(.05)...+(.1)(.35) E(r) =.15 = 15% Numerical example: Scenario Distributions ScenarioProbabilityReturn 10.1-5% 20.25% 30.415% 40.225% 50.135%
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-12 Using Our Example: 2 =[(.1)(-.05-.15) 2 +(.2)(.05-.15) 2 +…] =.01199 = [.01199] 1/2 =.1095 = 10.95% Subjective or Scenario Distributions Measuring Variance or Dispersion of Returns Standard deviation = [variance] 1/2 =
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-13 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
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-14 Annual HPRs Canada, 1957-2001 SeriesMean (%) St. Deviation (%) Stocks10.8016.24 LT Bonds8.9710.60 T-bills7.183.70 Inflation4.443.33
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-15 Annual HP Risk Premiums and Real Returns, Canada SeriesRisk Premium (%) Real Return (%) Stocks3.626.36 LT Bonds1.804.53 T-bills-2.74 Inflation--
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-16 Annual HPRs US, 1926-1999 SeriesG Mean (%) A Mean (%) Std Dev (%) Sm Stocks12.618.839.6 Lg Stocks11.113.120.2 LT Bonds (Gov)5.15.48.1 T-bills3.8 3.3 Inflation3.13.24.5
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-17 Annual HP Risk Premiums and Real Returns, US SeriesRisk Premium (%) Real Return (%) Sm Stocks15.015.6 Lg Stocks9.39.9 LT Bonds (Gov)1.62.2 T-bills-0.6 Inflation--
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-18 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
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-19 W = 100 W 1 = 150; Profit = 50 p =.6 W 2 = 80; Profit = -20 1-p =.4 E(W) = pW 1 + (1-p)W 2 = 122 2 = p[W 1 - E(W)] 2 + (1-p) [W 2 - E(W)] 2 2 = 1,176 and = 34.29% Risk - Uncertain Outcomes
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-20 W 1 = 150 Profit = 50 p =.6 W 2 = 80 Profit = -20 1-p =.4 100 Risky Investment Risk Free T-bills Profit = 5 Risk Premium = 22-5 = 17 Risky Investments with Risk-Free Investment
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-21 Investor’s view of risk Risk Averse Risk Neutral Risk Seeking Utility Utility Function U = E ( r ) –.005 A 2 A measures the degree of risk aversion Risk Aversion & Utility
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-22 Risk Aversion and Value: The Sample Investment U = E ( r ) -.005 A 2 =22% -.005 A (34%) 2 Risk AversionAUtility High5-6.90 3 4.66 Low 116.22 T-bill = 5%
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-23 Dominance Principle 1 2 3 4 Expected Return Variance or Standard Deviation 2 dominates 1; has a higher return 2 dominates 3; has a lower risk 4 dominates 3; has a higher return
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-24 Utility and Indifference Curves Represent an investor’s willingness to trade-off return and risk Example (for an investor with A=4): Exp Return (%) St Deviation (%) 1020.0 1525.5 2030.0 2533.9 U=E(r)-.005A 2 2 2 2 2
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-25 Indifference Curves Expected Return Standard Deviation Increasing Utility
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-26 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
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-27 Portfolio Mathematics: Assets’ Expected Return Rule 1 : The return for an asset is the probability weighted average return in all scenarios.
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-28 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.
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-29 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. r p = w 1 r 1 + w 2 r 2
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-30 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.
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Bodie Kane Marcus Perrakis RyanINVESTMENTS, Fourth Canadian Edition Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 5-31 Rule 5: When two risky assets with variances 1 2 and 2 2 respectively, are combined into a portfolio with portfolio weights w 1 and w 2, respectively, the portfolio variance is given by: Portfolio Mathematics: Risk with two Risky Assets
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