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Risk and Returns: part 1 Economics 71a: Spring 2007 Mayo chapter 8 Malkiel, Chap 9-10 Lecture notes 3.2a.

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Presentation on theme: "Risk and Returns: part 1 Economics 71a: Spring 2007 Mayo chapter 8 Malkiel, Chap 9-10 Lecture notes 3.2a."— Presentation transcript:

1 Risk and Returns: part 1 Economics 71a: Spring 2007 Mayo chapter 8 Malkiel, Chap 9-10 Lecture notes 3.2a

2 Goals  Return reminder  What is risk?  Types of risk  Statistics background  Risk return tradeoff

3 Returns  Total percentage gain on investment  Includes dividends for stocks  Example Price : 100 - 105 Pays: $2 dividend Return = (105+2-100)/100 = 7%

4 What is Risk?  Hard question  No good answer  Statistical Features Variance/Standard deviation Histograms (probability distributions)

5 Types of Risk  Market  Default (financial risk)  Business  Interest rate  Liquidity  Tax  Event  Political

6 Statistics  Random variables and histograms  Expected returns  Variances  Covariance  Correlation

7 Histogram  Frequency with which random variable takes value  Gives a pictorial indication of risk  Many possible shapes  Most famous is the Normal Distribution

8 Random Variables and Histograms

9 Return Histogram

10 Expected Return, E(R)  N states of the world, 1, 2,..,N  pi = probability of state i  Ri = return in state i  Also called “Expected value”

11 Mean

12 Example  3 States Good: return = 20%, prob 1/4 Normal: return = 10%, prob = 1/2 Bad: return = -15%, prob = 1/4  Expected return (1/4)(20)+(1/2)(10)+(1/4)(-15)  6.25

13 Variance  Expected return = E(R)  Variance  Standard Deviation = Square Root (Variance)

14 Variance

15 Example  3 States Good: return = 20%, prob 1/4 Normal: return = 10%, prob = 1/2 Bad: return = -15%, prob = 1/4  Variance (1/4)(20-6.25)^2+ (1/2)(10-6.25)^2+ (1/4)(-15-6.25)^2  = 167.19 Standard deviation = 12.93

16 Sharpe Ratio  Reward/Risk Ratio  RF = Risk free return  Relation between expected return and standard deviation or risk

17 Covariance and Correlation

18 Expectations of Linear Functions

19 Variances

20 Where do we stand?  Expected return Best probabilistic guess of what the future return will be  Variance One measure of how good that guess may turn out, or in other words, sort of a RISK measure  Histogram Complete measure of what the return could be, and RISK

21 Risk Versus Return  Efficient market world Return is fair payout for bearing risk Higher Risk -> Higher Return “No free lunch”  Not so efficient market world Opportunities might exist for low risk and high return Need to search these out

22 Idealized Risk versus Return Risk Return

23 Returns  Realized returns Actually returns on your investments from the past  Expected returns Mathematical forecast of future returns  Required returns Theoretically predicted return for a security given its risk level

24 Required Return Risk Required Return Theory prediction

25 Risk versus Return Efficient Market View: Investment Opportunities Risk Return * * * * * * *

26 Risk versus Return Not so Efficient Market View: Investment Opportunities Risk Return * * * * * * * * *

27 Key Questions on Risk  What is the “right” measure of risk?  How much risk do you want to bear yourself?


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