Title: Outlines
1Part 2-3 ??
2Outlines
- Statistical calculations of risk and return
measures - Risk Aversion
- Systematic and firm-specific risk
- Efficient diversification
- The Capital Asset Pricing Model
- Market Efficiency
3Rates of Return Single Period
- HPR Holding Period Return
- P0 Beginning price
- P1 Ending price
- D1 Dividend during period one
4Rates of Return Single Period Example
- Ending Price 48
- Beginning Price 40
- Dividend 2
- HPR (48 - 40 2 )/ (40) 25
5Return for Holding Period Zero Coupon Bonds
- Zero-coupon bonds are bonds that are sold at a
discount from par value. - Given the price, P (T ), of a Treasury bond with
100 par value and maturity of T years
6Example - Zero Coupon Bonds Rates of Return
Horizon, T Price, P(T) 100/P(T)-1 Risk-free Return for Given Horizon
Half-year 97.36 100/97.36-1 .0271 rf(.5) 2.71
1 year 95.52 100/95.52-1 .0580 rf(1) 5.80
25 years 23.30 100/23.30-1 3.2918 rf(25) 329.18
7Formula for EARs and APRs
- Effective annual rates, EARs
- Annual percentage rates, APRs
8Table - Annual Percentage Rates (APR) and
Effective Annual Rates (EAR)
9Continuous Compounding
- Continuous compounding, CC
- rCC is the annual percentage rate for the
continuously compounded case - e is approximately 2.71828
10Characteristics of Probability Distributions
- Mean
- most likely value
- Variance or standard deviation
- Skewness
11Mean Scenario or Subjective Returns
- Subjective returns
- ps probability of a state
- rs return if a state occurs
12Variance or Dispersion of Returns
- Subjective or Scenario
- Standard deviation variance1/2
- ps probability of a state
- rs return if a state occurs
13Deviations from Normality
14Figure - The Normal Distribution
15Figure - Normal and Skewed (mean 6 SD 17)
16Figure - Normal and Fat Tails Distributions (mean
.1 SD .2)
17Spreadsheet - Distribution of HPR on the Stock
Index Fund
18Mean and Variance of Historical Returns
- Arithmetic average or rates of return
- Variance
- Average return is arithmetic average
19Geometric Average Returns
- Geometric Average Returns
- TV Terminal Value of the Investment
- rG geometric average rate of return
20Spreadsheet - Time Series of HPR for the SP 500
21Example - Arithmetic Average and Geometric
Average
Year 1 2 3 4
Return 10 -5 20 15
22Measurement of Risk with Non-Normal Distributions
- Value at Risk, VaR
- Conditional Tail Expectation, CTE
- Lower Partial Standard Deviation, LPSD
23Figure - Histograms of Rates of Return for
1926-2005
24Table - Risk Measures for Non-Normal Distributions
25Investors View of Risk
- Risk Averse
- Reject investment portfolios that are fair games
or worse - Risk Neutral
- Judge risky prospects solely by their expected
rates of return - Risk Seeking
- Engage in fair games and gamble
26Fair Games and Expected Utility
- Assume a log utility function
- A simple prospect
27Fair Games and Expected Utility (cont.)
28Diversification and Portfolio Risk
- Sources of uncertainty
- Come from conditions in the general economy
- Market risk, systematic risk, nondiversifiable
risk - Firm-specific influences
- Unique risk, firm-specific risk, nonsystematic
risk, diversifiable risk
29Diversification and Portfolio Risk Example
Normal Year for Sugar Normal Year for Sugar Abnormal Year
Bullish Stock Market Bearish Stock Market Sugar Crisis
.5 .3 .2
Best Candy 25 10 -25
SugarKane 1 -5 35
T-bill 5 5 5
30Diversification and Portfolio Risk Example (cont.)
Portfolio Expected Return Standard Deviation
All in Best 10.50 18.90
Half in T-bill 7.75 9.45
Half in Sugar 8.25 4.83
31Components of Risk
- Market or systematic risk
- Risk related to the macro economic factor or
market index. - Unsystematic or firm specific risk
- Risk not related to the macro factor or market
index. - Total risk Systematic Unsystematic
32Figure - Portfolio Risk as a Function of the
Number of Stocks in the Portfolio
33Figure - Portfolio Diversification
34Two-Security Portfolio Return
- Consider two mutual fund, a bond portfolio,
denoted D, and a stock fund, E
35Two-Security Portfolio Risk
- The variance of the portfolio, is not a weighted
average of the individual asset variances - The variance of the portfolio is a weighted sum
of covariances
36Table - Computation of Portfolio Variance from
the Covariance Matrix
37Covariance and Correlation Coefficient
- The covariance can be computed from the
correlation coefficient - Therefore
38Example - Descriptive Statistics for Two Mutual
Funds
39Portfolio Risk and Return Example
- Apply this analysis to the data as presented in
the previous slide
40Table - Expected Return and Standard Deviation
with Various Correlation Coefficients
41Figure - Portfolio Opportunity Set
42Figure - The Minimum-Variance Frontier of Risky
Assets
43Figure - Capital Allocation Lines with Various
Portfolios from the Efficient Set
44Capital Allocation and the Separation Property
- A portfolio manager will offer the same risky
portfolio, P, to all clients regardless of their
degree of risk aversion - Separation property
- Determination of the optimal risky portfolio
- Allocation of the complete portfolio
45Capital Asset Pricing Model (CAPM)
- It is the equilibrium model that underlies all
modern financial theory. - Derived using principles of diversification with
simplified assumptions. - Markowitz, Sharpe, Lintner and Mossin are
researchers credited with its development.
46Figure - The Efficient Frontier and the Capital
Market Line
47Slope and Market Risk Premium
- Market risk premium
- Market price of risk, Slope of the CML
48The Security Market Line
- Expected return beta relationship
- The securitys risk premium is directly
proportional to both the beta and the risk
premium of the market portfolio - All securities must lie on the SML in market
equilibrium
49Figure - The Security Market Line
50Sample Calculations for SML
- Suppose that the market return is expected to be
14, and the T-bill rate is 6 - Stock A has a beta of 1.2
- If one believed the stock would provide an
expected return of 17
51Efficient Market Hypothesis (EMH)
- Do security prices reflect information ?
- Why look at market efficiency?
- Implications for business and corporate finance
- Implications for investment
52Random Walk and the EMH
- Random Walk
- Stock prices are random
- Randomly evolving stock prices are the
consequence of intelligent investors competing to
discover relevant information - Expected price is positive over time
- Positive trend and random about the trend
53Random Walk with Positive Trend
54Random Price Changes
- Why are price changes random?
- Prices react to information
- Flow of information is random
- Therefore, price changes are random
55Figure - Cumulative Abnormal Returns before
Takeover Attempts Target Companies
56EMH and Competition
- Stock prices fully and accurately reflect
publicly available information. - Once information becomes available, market
participants analyze it. - Competition assures prices reflect information.
57Forms of the EMH
- Weak form EMH
- Semi-strong form EMH
- Strong form EMH
58Information Sets