How to Use the FamaFrench Model in Practice - PowerPoint PPT Presentation

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How to Use the FamaFrench Model in Practice

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(Independent variable, x-axis) 'excess returns rM-rf of the market. Recall that for short horizons (daily, weekly) it's okay to use raw returns ... – PowerPoint PPT presentation

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Title: How to Use the FamaFrench Model in Practice


1
How to Use the Fama-French Model in Practice
  • How to Find
  • Factor Loadings ( betas)
  • Cost of capital ( expected return)

2
CAPM-type Regression
  • Pull off the data for SP 500 data (the market)
    and your stock. Merge into the same spreadsheet
  • Regress
  • (Dependent variable, y-axis) excess returns
    ri-rf of your stock
  • AGAINST
  • (Independent variable, x-axis) excess returns
    rM-rf of the market
  • Recall that for short horizons (daily, weekly)
    its okay to use raw returns rather than excess
    returns

3
Estimating CAPM
  • What does Excel do?
  • Objective Find the line that fits the best
  • Fits the best criteria
  • ? ei 0
  • Minimize ? (ei )2

4
To find expected return
  • Plug the beta you find into the following
    equation, where rf is the current risk-free rate
  • Two approaches for Markets risk premium
  • Use historical data (assume historical risk
    premia future risk premia)
  • Use some other economic argument to come up with
    a reasonable risk premium going forward
  • Well do this in April

5
Fama-French Regression
  • Involves 3 independent variables
  • Rm-Rf, the market premium (as in CAPM)
  • HML, the return on high book-to-market firms
    minus low book-to-market firms
  • SMB, the return on small firms minus the return
    on large firms
  • Recall that HML and SMB should plot on the SML
    according to the CAPM
  • They should therefore be useless for predicting
    returns
  • They arent useless

6
FAMA Regression
  • Pull off the data for RM-RF, HML and SMB from Ken
    Frenchs website
  • Pull off the data from Yahoo! Finance for your
    stock. Merge into the same spreadsheet
  • Regress
  • (Dependent variable, y-axis) excess returns
    ri-rf of your stock
  • AGAINST
  • The three independent variables.

7
Two warnings / Excel tricks
  • Ken French puts his data in the form of a text
    file
  • not .csv or .xls
  • Yahoo! and Ken French put their data in reverse
    order
  • Old to new, vs. new to old
  • Use Text to Columns
  • Use sort

8
Warning three
  • Be sure to line up date from Yahoo! With similar
    date from Prof. French.

9
To find expected return
  • Plug the factor loading you find into the
    following equation, where rf is the current
    risk-free rate
  • Use the same approaches as before
  • Use historical risk premia, or come up with your
    own numbers.
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