Abstract
This chapter discusses factor models, which are models that explain the variation in expected stock returns using various proxies. We demonstrate how to implement the most popular of these models, which is the Capital Asset Pricing Model (CAPM). We also demonstrate how to implement alternative models, such as the Fama-French three factor model.
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Morningstar Report: Mutual Fund Data Definitions, Ratings and Risk, retrieved from http://quicktake.morningstar.com/DataDefs/FundRatingsAndRisk.html
- 2.
Annual Returns on Stocks, T. Bonds and T. Bills: 1928—Current, retrieved from http://pages.stern.nyu.edu/~adamodar/New_Home_Page/datafile/histretSP.html on January 5, 2014.
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We use FF data retrieved in April 2014 in this text. As discussed previously, retrieving FF data at a later date will result in different index numbers. We have to manually inspect the data either in R or, if more convenient, in Excel, so we can identify the correct rows to delete.
- 5.
MarketWatch, Netflix, Cisco fall; Apple jumps after results, July 23, 2013, retrieved from http://www.marketwatch.com/story/netflix-cisco-fall-apple-slips-ahead-of-results-2013-07-23
- 6.
It is also common to use the S&P 500 Index or other broad-based index as the market proxy.
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Ang, C. (2015). Factor Models. In: Analyzing Financial Data and Implementing Financial Models Using R. Springer Texts in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-14075-9_5
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DOI: https://doi.org/10.1007/978-3-319-14075-9_5
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