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Index Models

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i = index of a securities' particular return to. the factor ... Merrill Lynch Example. Use returns not risk premiums. a has a different interpretation ... – PowerPoint PPT presentation

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Title: Index Models


1
Chapter 10
  • Index Models

2
Advantages of the Single Index Model
  • Reduces the number of inputs for diversification.
  • Easier for security analysts to specialize.

3
Single Factor Model
  • ri E(Ri) ßiF e
  • ßi index of a securities particular return to
    the factor
  • F some macro factor in this case F is
    unanticipated movement F is commonly related to
    security returns
  • Assumption a broad market index like the SP500
    is the common factor.

4
Single Index Model
Risk Prem
Market Risk Prem
or Index Risk Prem
the stocks expected return if the markets
excess return is zero
?a
i
(rm - rf) 0
ßi(rm - rf) the component of return due to
movements in the market index
ei firm specific component, not due to market
movements
5
Risk Premium Format
6
Security Characteristic Line
Excess Returns (i)
SCL
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Excess returns on market index
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Ri ? i ßiRm ei
7
Using the Text Example from Table 10-1
Excess Mkt. Ret.
Excess GM Ret.
Jan. Feb. . . Dec Mean Std Dev
5.41 -3.44 . . 2.43 -.60 4.97
7.24 .93 . . 3.90 1.75 3.32
8
Regression Results
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rGM - rf ß(rm - rf)
?
ß
Estimated coefficient Std error of
estimate Variance of residuals 12.601 Std dev
of residuals 3.550 R-SQR 0.575
-2.590 (1.547)
1.1357 (0.309)
9
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

10
Measuring Components of Risk
  • ?i2 ?i2 ?m2 ?2(ei)
  • where
  • ?i2 total variance
  • ?i2 ?m2 systematic variance
  • ?2(ei) unsystematic variance

11
Examining Percentage of Variance
  • Total Risk Systematic Risk Unsystematic Risk
  • Systematic Risk/Total Risk ?2
  • ßi2 ? m2 / ?2 ?2
  • ?i2 ?m2 / ?i2 ?m2 ?2(ei) ?2

12
Index Model and Diversification
13
Risk Reduction with Diversification
St. Deviation
Unique Risk s2(eP)s2(e) / n
bP2sM2
Market Risk
Number of Securities
14
Industry Prediction of Beta
  • Merrill Lynch Example
  • Use returns not risk premiums
  • a has a different interpretation
  • a a rf (1-b)
  • Forecasting beta as a function of past beta
  • Forecasting beta as a function of firm size,
    growth, leverage etc.

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