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Chapter 10: Risk and return:
lessons from market history
Corporate Finance
Ross, Westerfield, and
Jaffe
Outline
1. Returns
2. Capital market returns
3. Portfolio risk statistics
Dollar return
 Suppose that you bought a bond for $1050 a year
ago. You have received two semiannual coupons of
$50 each. The market price of the bond today is
$1100. What is your total dollar return?
 Income = 50 + 50 = $100.
 Capital gain = 1100 – 1050 = $50.
 Total dollar return = 100 + 50 = $150.
 Total dollar return = income + capital gain (loss).
Percentage return
 It is more intuitive to think of returns in terms of
percentages.
 Return = (ending value – beginning value) /
beginning value.
 Return = ((1100 + 100) – 1050) / 1050 = 14.29%.
 Return = income yield (return) + capital gain yield
(return) = 100 / 1050 + 50 / 1050 = 9.52% + 4.76% =
14.29%.
Holding period return
 Holding period return: the cumulative
return that an investor would obtain
when holding an investment over a
period of N years.
Holding period return example
 Suppose that an investment yielded 4%, 7%,
8%, 0%, and 10% for the past 5 years. What
is the holding period return for the 5 years?
 Holding period return = (1 + 4%) × (1 + 7%) ×
(1 + 8%) × (1 + 0%) × (1 + 10%) – 1 =
32.2%.
Why capital market returns?
 Examining capital market returns helps us
determine the appropriate returns on non-
financial assets (e.g., firm projects).
 Lessons from capital market return history:
– There is a reward for bearing risk.
– Return is positively related to risk.
– This is called the “risk-return tradeoff.”
Average return, I
 The simple average of a series of returns is
called arithmetic average return.
 Geometric average return: average
compound return per period over multiple
periods.
Average return example
Year Ret Arithmetic R 1 + Ret Power of 1/N Geometric R
1 0.08 0.076 1.08 1.074811381 0.07481138
2 -0.01 0.99
3 0.12 1.12
4 0.13 1.13
5 0.06 1.06
1.4344
Multiplication term
GR < AR
Average return, II
 The geometric average will be less than the
arithmetic average unless all the returns are equal.
 The arithmetic average is overly optimistic for
multiple horizons.
 If the investment horizon is only 1 period, the
arithmetic average is a better measure of likely
return.
 Arithmetic average return based on historical returns
are often used as an estimate of expected return in
real life.
Portfolio risk statistics
 An investor cares about the return variability
of her/his portfolio.
 This variability at the portfolio level is usually
measured by variance and/or standard
deviation (std.).
Portfolio risk statistics, example
Year Ret Arithmetic R Diff Diff^2 Var Std
1 0.08 0.076 0.004 0.000016 0.00313 0.055946
2 -0 -0.086 0.007396
3 0.12 0.044 0.001936
4 0.13 0.054 0.002916
5 0.06 -0.016 0.000256
Sum 0.01252
Historical performance, 1926-2008
Average Return Std
Large stocks 11.7% 20.6%
Small Stocks 16.4% 33.0%
L-T Corporate Bonds 6.2% 8.4%
L-T Government Bonds 6.1% 9.4%
U.S. Treasury Bills 3.8% 3.1%
Inflation 3.1% 4.2%
If normally distributed?
 If we are willing to assume that asset returns
are normally distributed, can you draw a
return distribution based on the previous
slide?
 Hint: about 95% within +/– 2 std.
End-of-Chapter
 Concept questions: 1-10.
 Questions and problems: 1-16 and 19-23.

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7033457.ppt

  • 1. Chapter 10: Risk and return: lessons from market history Corporate Finance Ross, Westerfield, and Jaffe
  • 2. Outline 1. Returns 2. Capital market returns 3. Portfolio risk statistics
  • 3. Dollar return  Suppose that you bought a bond for $1050 a year ago. You have received two semiannual coupons of $50 each. The market price of the bond today is $1100. What is your total dollar return?  Income = 50 + 50 = $100.  Capital gain = 1100 – 1050 = $50.  Total dollar return = 100 + 50 = $150.  Total dollar return = income + capital gain (loss).
  • 4. Percentage return  It is more intuitive to think of returns in terms of percentages.  Return = (ending value – beginning value) / beginning value.  Return = ((1100 + 100) – 1050) / 1050 = 14.29%.  Return = income yield (return) + capital gain yield (return) = 100 / 1050 + 50 / 1050 = 9.52% + 4.76% = 14.29%.
  • 5. Holding period return  Holding period return: the cumulative return that an investor would obtain when holding an investment over a period of N years.
  • 6. Holding period return example  Suppose that an investment yielded 4%, 7%, 8%, 0%, and 10% for the past 5 years. What is the holding period return for the 5 years?  Holding period return = (1 + 4%) × (1 + 7%) × (1 + 8%) × (1 + 0%) × (1 + 10%) – 1 = 32.2%.
  • 7. Why capital market returns?  Examining capital market returns helps us determine the appropriate returns on non- financial assets (e.g., firm projects).  Lessons from capital market return history: – There is a reward for bearing risk. – Return is positively related to risk. – This is called the “risk-return tradeoff.”
  • 8. Average return, I  The simple average of a series of returns is called arithmetic average return.  Geometric average return: average compound return per period over multiple periods.
  • 9. Average return example Year Ret Arithmetic R 1 + Ret Power of 1/N Geometric R 1 0.08 0.076 1.08 1.074811381 0.07481138 2 -0.01 0.99 3 0.12 1.12 4 0.13 1.13 5 0.06 1.06 1.4344 Multiplication term GR < AR
  • 10. Average return, II  The geometric average will be less than the arithmetic average unless all the returns are equal.  The arithmetic average is overly optimistic for multiple horizons.  If the investment horizon is only 1 period, the arithmetic average is a better measure of likely return.  Arithmetic average return based on historical returns are often used as an estimate of expected return in real life.
  • 11. Portfolio risk statistics  An investor cares about the return variability of her/his portfolio.  This variability at the portfolio level is usually measured by variance and/or standard deviation (std.).
  • 12. Portfolio risk statistics, example Year Ret Arithmetic R Diff Diff^2 Var Std 1 0.08 0.076 0.004 0.000016 0.00313 0.055946 2 -0 -0.086 0.007396 3 0.12 0.044 0.001936 4 0.13 0.054 0.002916 5 0.06 -0.016 0.000256 Sum 0.01252
  • 13. Historical performance, 1926-2008 Average Return Std Large stocks 11.7% 20.6% Small Stocks 16.4% 33.0% L-T Corporate Bonds 6.2% 8.4% L-T Government Bonds 6.1% 9.4% U.S. Treasury Bills 3.8% 3.1% Inflation 3.1% 4.2%
  • 14. If normally distributed?  If we are willing to assume that asset returns are normally distributed, can you draw a return distribution based on the previous slide?  Hint: about 95% within +/– 2 std.
  • 15. End-of-Chapter  Concept questions: 1-10.  Questions and problems: 1-16 and 19-23.