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Python for Finance Cookbook – Second Edition

You're reading from   Python for Finance Cookbook – Second Edition Over 80 powerful recipes for effective financial data analysis

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781803243191
Length 740 pages
Edition 2nd Edition
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Author (1):
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Eryk Lewinson Eryk Lewinson
Author Profile Icon Eryk Lewinson
Eryk Lewinson
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Table of Contents (18) Chapters Close

Preface 1. Acquiring Financial Data FREE CHAPTER 2. Data Preprocessing 3. Visualizing Financial Time Series 4. Exploring Financial Time Series Data 5. Technical Analysis and Building Interactive Dashboards 6. Time Series Analysis and Forecasting 7. Machine Learning-Based Approaches to Time Series Forecasting 8. Multi-Factor Models 9. Modeling Volatility with GARCH Class Models 10. Monte Carlo Simulations in Finance 11. Asset Allocation 12. Backtesting Trading Strategies 13. Applied Machine Learning: Identifying Credit Default 14. Advanced Concepts for Machine Learning Projects 15. Deep Learning in Finance 16. Other Books You May Enjoy
17. Index

Estimating the Fama-French three-factor model

In their famous paper, Fama and French expanded the CAPM model by adding two additional factors explaining the excess returns of an asset or portfolio. The factors they considered are:

  • The market factor (MKT): It measures the excess return of the market, analogical to the one in the CAPM.
  • The size factor (SMB; Small Minus Big): It measures the excess return of stocks with a small market cap over those with a large market cap.
  • The value factor (HML; High Minus Low): It measures the excess return of value stocks over growth stocks. Value stocks have a high book-to-market ratio, while growth stocks are characterized by a low ratio.

Please see the See also section for a reference to how the factors are calculated.

The model can be represented as follows:

Or in its simpler form:

Here, E(ri) denotes the expected return on asset i, rf is the risk-free rate (such as a government bond), and α is the intercept. The reason for including...

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