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Python for Finance Cookbook - Second Edition

You're reading from  Python for Finance Cookbook - Second Edition

Product type Book
Published in Dec 2022
Publisher Packt
ISBN-13 9781803243191
Pages 740 pages
Edition 2nd Edition
Languages
Author (1):
Eryk Lewinson Eryk Lewinson
Profile icon Eryk Lewinson

Table of Contents (18) Chapters

Preface Acquiring Financial Data Data Preprocessing Visualizing Financial Time Series Exploring Financial Time Series Data Technical Analysis and Building Interactive Dashboards Time Series Analysis and Forecasting Machine Learning-Based Approaches to Time Series Forecasting Multi-Factor Models Modeling Volatility with GARCH Class Models Monte Carlo Simulations in Finance Asset Allocation Backtesting Trading Strategies Applied Machine Learning: Identifying Credit Default Advanced Concepts for Machine Learning Projects Deep Learning in Finance Other Books You May Enjoy
Index

Estimating the CAPM

In this recipe, we learn how to estimate the famous Capital Asset Pricing Model (CAPM) and obtain the beta coefficient. This model represents the relationship between the expected return on a risky asset and the market risk (also known as systematic or undiversifiable risk). CAPM can be considered a one-factor model, on top of which more complex factor models were built.

CAPM is represented by the following equation:

Here, E(ri) denotes the expected return on asset i, rf is the risk-free rate (such as a government bond), E(rm) is the expected return on the market, and β is the beta coefficient.

Beta can be interpreted as the level of the asset return's sensitivity, as compared to the market in general. Below we mention the possible interpretations of the coefficient:

  • β <= -1: The asset moves in the opposite direction as the benchmark and in a greater amount than the negative of the benchmark.
  • -1 < β < 0: The asset moves in the opposite...
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