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Short-term momentum trading strategy implemented for the lecture "Systematic risk premia strategies traded at hedge funds" at University of Zurich, FS 2018.

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Short-term Momentum trading strategy

Short-term momentum trading strategy implemented for the lecture "Systematic risk premia strategies traded at hedge funds" at University of Zurich, FS 2018.


Overview

  • Implementation in R

  • In accordance to paper Short-term Momentum (Medhat, Schmeling 2021):

    • Monthly pricing data from the Center for Research in Security Prices (CRSP)

    • Sample starts in July, 1963 and ends in December, 2016

    • All common shares traded on NYSE, AMEX, and Nasdaq Measure short-term momentum using the return over the previous month: 𝑀𝑂𝑀_(𝑖,𝑡) = 𝑟_(𝑖,𝑡−1)

    • Measure short-term turnover using previous month volume and number of shares outstanding data: 𝑇𝑂_(𝑖,𝑡) = 𝑉𝑂𝐿_(𝑖,𝑡−1) / 𝑆𝐻𝑅𝑂𝑈𝑇_(𝑖,𝑡−1)

    • Portfolios are value-weighted by market capitalization and rebalanced at the end of each month

Results

Main findings (excess returns)

Cumulative performance of strategies

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Short-term momentum trading strategy implemented for the lecture "Systematic risk premia strategies traded at hedge funds" at University of Zurich, FS 2018.

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