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Analyzing the Size and Momentum Anomalies

Annual data on market portfolio, risk free rate, and anomalies (VW portfolios only) can be
downloaded from Ken French’s online data library. The sample period is 1927 – 2020.
Implementation
Part 1: Consider the following four investments:
1) Investing in the market portfolio
2) Investing in the T-bills
3) Investing in small stocks
4) Investing in high momentum stocks (e.g., stocks that do well in the past)
• Document the risk return characteristics of the above four investments, including plots
of annual returns and cumulative returns as well as a table that reports summary
statistics of different investments such as mean, standard deviation, skewness, kurtosis,
maximum drawdown, beta, and Sharpe ratio.
• Plot the efficient frontier with market and T-bills. This is the benchmark.
• Plot the efficient frontier with small stocks and T-bills, and check if the size anomaly can
be used to expand the benchmark investment opportunity set
• Plot the efficient frontier with high momentum stocks and T-bills
• Plot the efficient frontier with small stocks, high momentum stocks and T-bills.
• You need to put different efficient frontiers on the same graph so the reader can
compare them easily.
Part 2: Using the portfolios sorted on size and momentum as testing assets, evaluate the
ability of CAPM to explain the return differences in these portfolios
• Plot the security market lines for the two sets of testing assets
• Use the cross-sectional regression approach and Fama MacBeth regression approach to
evaluate the performance of the CAPM

Sample Solution