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This chapter delves into the intricate relationship between return and risk, drawing on historical data to elucidate key factors influencing rates of return. It discusses the impact of inflation on investor expectations and examines the Fisher Equation, highlighting the role of taxes on real interest rates. In addition, it covers comparative rates of return for various holding periods, risk premiums, and standard deviations. With visual aids such as graphs and tables, it presents a comprehensive overview of interest rates, inflation, and their evolution from 1926 to 2005.
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CHAPTER 5 Learning About Return and Risk from the Historical Record
Factors Influencing Rates Supply Households Demand Businesses Government’s Net Supply and/or Demand Federal Reserve Actions
Figure 5.1 Determination of the Equilibrium Real Rate of Interest
Equilibrium Nominal Rate of Interest As the inflation rate increases, investors will demand higher nominal rates of return If E(i) denotes current expectations of inflation, then we get the Fisher Equation:
Taxes and the Real Rate of Interest Tax liabilities are based on nominal income Given a tax rate (t), nominal interest rate (R), after-tax interest rate is R(1-t) Real after-tax rate is:
Comparing Rates of Return for Different Holding Periods Zero Coupon Bond
Bills and Inflation, 1926-2005 Entire post-1926 history of annual rates: www.mhhe.com/bkm Average real rate of return on T-bills for the entire period was 0.72 percent Real rates are larger in late periods
Table 5.2 History of T-bill Rates, Inflation and Real Rates for Generations, 1926-2005
Figure 5.3 Nominal and Real Wealth Indexes for Investment in Treasury Bills, 1966-2005
Risk and Risk Premiums Rates of Return: Single Period HPR = Holding Period Return P0 = Beginning price P1 = Ending price D1 = Dividend during period one
Ending Price = 48 Beginning Price = 40 Dividend = 2 HPR = (48 - 40 + 2 )/ (40) = 25% Rates of Return: Single Period Example
Expected Return and Standard Deviation Expected returns p(s) = probability of a state r(s) = return if a state occurs s = state
Scenario Returns: Example StateProb. of State r in State 1 .1 -.05 2 .2 .05 3 .4 .15 4 .2 .25 5 .1 .35 E(r) = (.1)(-.05) + (.2)(.05)… + (.1)(.35) E(r) = .15
Variance: Variance or Dispersion of Returns Standard deviation = [variance]1/2 Using Our Example: Var =[(.1)(-.05-.15)2+(.2)(.05- .15)2…+ .1(.35-.15)2] Var= .01199 S.D.= [ .01199] 1/2 = .1095
Time Series Analysis of Past Rates of Return Expected Returns and the Arithmetic Average
Geometric Average Return TV = Terminal Value of the Investment g= geometric average rate of return
Variance and Standard Deviation Formulas Variance = expected value of squared deviations When eliminating the bias, Variance and Standard Deviation become:
The Reward-to-Volatility (Sharpe) Ratio Risk Premium Sharpe Ratio for Portfolios = SD of Excess Return
Figure 5.6 Frequency Distributions of Rates of Return for 1926-2005
Table 5.3 History of Rates of Returns of Asset Classes for Generations, 1926- 2005
Table 5.4 History of Excess Returns of Asset Classes for Generations, 1926- 2005
Figure 5.7 Nominal and Real Equity Returns Around the World, 1900-2000
Figure 5.8 Standard Deviations of Real Equity and Bond Returns Around the World, 1900-2000