Outlines

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Statistical calculations of risk and return measures. Risk Aversion ... Bearish Stock Market. Bullish Stock Market. Abnormal Year. Normal Year for Sugar. 2-3-30 ... – PowerPoint PPT presentation

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Title: Outlines


1
Part 2-3 ??
  • ?????

2
Outlines
  • Statistical calculations of risk and return
    measures
  • Risk Aversion
  • Systematic and firm-specific risk
  • Efficient diversification
  • The Capital Asset Pricing Model
  • Market Efficiency

3
Rates of Return Single Period
  • HPR Holding Period Return
  • P0 Beginning price
  • P1 Ending price
  • D1 Dividend during period one

4
Rates of Return Single Period Example
  • Ending Price 48
  • Beginning Price 40
  • Dividend 2
  • HPR (48 - 40 2 )/ (40) 25

5
Return 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

6
Example - 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
7
Formula for EARs and APRs
  • Effective annual rates, EARs
  • Annual percentage rates, APRs

8
Table - Annual Percentage Rates (APR) and
Effective Annual Rates (EAR)
9
Continuous Compounding
  • Continuous compounding, CC
  • rCC is the annual percentage rate for the
    continuously compounded case
  • e is approximately 2.71828

10
Characteristics of Probability Distributions
  • Mean
  • most likely value
  • Variance or standard deviation
  • Skewness

11
Mean Scenario or Subjective Returns
  • Subjective returns
  • ps probability of a state
  • rs return if a state occurs

12
Variance or Dispersion of Returns
  • Subjective or Scenario
  • Standard deviation variance1/2
  • ps probability of a state
  • rs return if a state occurs

13
Deviations from Normality
  • Skewness
  • Kurtosis

14
Figure - The Normal Distribution
15
Figure - Normal and Skewed (mean 6 SD 17)
16
Figure - Normal and Fat Tails Distributions (mean
.1 SD .2)
17
Spreadsheet - Distribution of HPR on the Stock
Index Fund
18
Mean and Variance of Historical Returns
  • Arithmetic average or rates of return
  • Variance
  • Average return is arithmetic average

19
Geometric Average Returns
  • Geometric Average Returns
  • TV Terminal Value of the Investment
  • rG geometric average rate of return

20
Spreadsheet - Time Series of HPR for the SP 500
21
Example - Arithmetic Average and Geometric
Average
Year 1 2 3 4
Return 10 -5 20 15
22
Measurement of Risk with Non-Normal Distributions
  • Value at Risk, VaR
  • Conditional Tail Expectation, CTE
  • Lower Partial Standard Deviation, LPSD

23
Figure - Histograms of Rates of Return for
1926-2005
24
Table - Risk Measures for Non-Normal Distributions
25
Investors 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

26
Fair Games and Expected Utility
  • Assume a log utility function
  • A simple prospect

27
Fair Games and Expected Utility (cont.)
28
Diversification 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

29
Diversification 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
30
Diversification 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
31
Components 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

32
Figure - Portfolio Risk as a Function of the
Number of Stocks in the Portfolio
33
Figure - Portfolio Diversification
34
Two-Security Portfolio Return
  • Consider two mutual fund, a bond portfolio,
    denoted D, and a stock fund, E

35
Two-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

36
Table - Computation of Portfolio Variance from
the Covariance Matrix
37
Covariance and Correlation Coefficient
  • The covariance can be computed from the
    correlation coefficient
  • Therefore

38
Example - Descriptive Statistics for Two Mutual
Funds
39
Portfolio Risk and Return Example
  • Apply this analysis to the data as presented in
    the previous slide

40
Table - Expected Return and Standard Deviation
with Various Correlation Coefficients
41
Figure - Portfolio Opportunity Set
42
Figure - The Minimum-Variance Frontier of Risky
Assets
43
Figure - Capital Allocation Lines with Various
Portfolios from the Efficient Set
44
Capital 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

45
Capital 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.

46
Figure - The Efficient Frontier and the Capital
Market Line
47
Slope and Market Risk Premium
  • Market risk premium
  • Market price of risk, Slope of the CML

48
The 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

49
Figure - The Security Market Line
50
Sample 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

51
Efficient Market Hypothesis (EMH)
  • Do security prices reflect information ?
  • Why look at market efficiency?
  • Implications for business and corporate finance
  • Implications for investment

52
Random 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

53
Random Walk with Positive Trend
54
Random Price Changes
  • Why are price changes random?
  • Prices react to information
  • Flow of information is random
  • Therefore, price changes are random

55
Figure - Cumulative Abnormal Returns before
Takeover Attempts Target Companies
56
EMH and Competition
  • Stock prices fully and accurately reflect
    publicly available information.
  • Once information becomes available, market
    participants analyze it.
  • Competition assures prices reflect information.

57
Forms of the EMH
  • Weak form EMH
  • Semi-strong form EMH
  • Strong form EMH

58
Information Sets
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