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Risk and Return Primer

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Page 1: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

Risk and ReturnPrimer

Page 2: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

Expectations

Expected value (μ) is weighted sum of possible outcomes

E(X) = μ = p1X1 + p2X2 + …. psXs E(X) – Expected value of XXi – Outcome of X in state ipi – Probability of state is – Number of possible statesProbabilities have to sum to 1

p1 + p2 + …..+ ps = 1

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Page 3: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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Horse Race

There are three horse racing in the Finance Derby. Your horse is “Love of NPV”. If your horse has a 30% chance of coming in first, and a 40% chance of coming in second. How much do you expect your horse to win? 1st pays $1,500 2nd pays $750 3rd pays $250

Page 4: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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Horse Race

There are three horse racing in the Finance Derby. Your horse is “Love of NPV”. If your horse has a 30% chance of coming in first, and a 40% chance of coming in second. How much do you expect your horse to win? 1st pays $1,500, 2nd pays $750, 3rd pays $250

Chance of coming in 3rd: 1-0.3-0.4 = 0.3 0.3*1,500 + 0.4*750 + 0.3*250 = $825

Page 5: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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What is risk?

Uncertainty

Page 6: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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Measuring Risk There is no universally agreed-upon

measureHowever, variance and standard deviation are both

widely accepted measures of total risk

Page 7: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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Statistics Review: Variance Variance (σ2) measures the dispersion of

possible outcomes around μ Standard deviation (σ) is the square root of

variance Higher variance (std dev), implies a higher

dispersion of possible outcomesMore uncertainty

Page 8: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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Different Variances

Page 9: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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Variance Calculation Variance = σ2 = Σpi * (Xi – μ)2: Use this one

Alternative formulas you may have seen σ2 = Σ(Xi – μ)2 / N σ2 = Σ(Xi – μ)2 / (N-1)

All give similar answers with large samplesBUT each give very different answers with small

samples

Ex. s=3σ2 = p1 * (X1 – μ)2 + p2 * (X2 – μ)2 + p3 * (X3 – μ)2

Page 10: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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Risk Example

Economy is “Good” with 20% probability DJIA will return 20%

Economy is “Fair” with 30% probability DJIA will return 5%

Economy is “Bad” with 50% probability DJIA will return -9%

Page 11: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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Calculations

Expected Return =

Variance =

Standard Deviation =

Page 12: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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Calculations

Expected Return = p1X1 + p2X2 + p3X3 = 0.2*0.20+0.3*0.05+0.5*(-0.09) = 0.01

Variance =

Standard Deviation =

Page 13: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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Calculations

Expected Return = 0.01

Variance = p1(X1- μX)2+p2(X2-μX)2+p3(X3-μX)2

=0.2*(0.20-0.01)2 + 0.3*(0.05-0.01)2 + 0.5*(-0.09-0.01)2

= 0.0127 =127 (%)2

Standard Deviation =

Page 14: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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Calculations

Expected Return = 0.01

Variance = 0.0127 =127 (%)2

Standard Deviation = √ σ2 √0.0127 = 0.113 = 11.3%

Page 15: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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Historical Data

In practice we do not know all of the possible states of the world, so we use historical data to form expectationsIdea: Look at what has happened in the past and

we can calculate the mean and variance What is each states probability of occurring?

Page 16: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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Risk Example 2

Sample Mean = 0.2*0.20+0.2*0.15+0.2*(-0.05)+0.2*0.05+0.2*0.10 = 0.09 = 9%

Sample Variance = = 0.2*(0.20-0.09)2 + 0.2*(0.15-0.09)2 + 0.2*(-0.05-0.09)2 + 0.2*(0.05-0.09)2 + 0.2*(0.10-0.09)2 = 74%2

Standard Deviation = √0.0074 = 0.086 = 8.6%

1996 1997 1998 1999 2000

20% 15% -5% 5% 10%

Page 17: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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Risk

A risky asset is one in which the rate of return is uncertain.

Risk is measured by ________________

Page 18: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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Risk

A risky asset is one in which the rate of return in uncertain.

Risk is measured by standard deviation. higher σ → more uncertainty

Page 19: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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General Securities

T-bills are a very safe investment No default risk, short maturity Risk free asset

Stocks are much riskier Bond’s riskiness is between T-bills and Stocks

Page 20: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

Why Do We Demand a Higher Return Investors seem to dislike risk (ex. insurance)

Risk Averse If the expected return on T-Bills (risk-free), is

10%, and the expected return for Ford is 10%, which would you buy?The 10% offered by T-Bills is guaranteed while

this is not the case for FordA guaranteed 10% dominates a possible 10%

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Page 21: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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Return Breakdown

A risky asset’s return has two components:Risk free rate + Risk premium

Risk free rate: The return one can earn from investing in T-Bills

Risk Premium: The return over and above the risk free rateCompensation for bearing risk

Page 22: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

Average Risk Premiums (1926-2005)

Small company stocks : 17.4% – 3.8% = 13.6%

Large company stocks : 12.3% – 3.8% = 8.5%

Long-term corporate bonds : 6.2% – 3.8% = 2.4%

The more risk the larger the risk premium

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Page 23: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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The Risk-Return Tradeoff

2%

4%

6%

8%

10%

12%

14%

16%

18%

0% 5% 10% 15% 20% 25% 30% 35%

Annual Return Standard Deviation

Ann

ual R

etur

n A

vera

ge

T-Bonds

T-Bills

Large-Company Stocks

Small-Company Stocks

Highest Risk & Return: Small Cap Stocks, Large Cap Stocks, L.T. Corp bonds, L.T. Gov Bonds, U.S. T-Bills

Page 24: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

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Quick Quiz

Which of the investments discussed has had the highest average return and risk premium?

Which of the investments discussed has had the highest standard deviation?

Page 25: Risk and Return Primer. Expectations Expected value (μ) is weighted sum of possible outcomes E(X) = μ = p 1 X 1 + p 2 X 2 + …. p s X s  E(X) – Expected

Why we care?

This is the very basics of investing General knowledge that “finance” people

possess

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