Document Type
Article
Publication Date
2015
Publication Title
Financial Markets and Portfolio Management
First Page
85
Last Page
113
DOI
http://dx.doi.org/10.1007/s11408-015-0246-4
Abstract
For nearly three decades, scientific studies have explored momentum investing strategies and observed stable excess returns in various financial markets. However, the trading strategies typically analyzed in such research are not accessible to individual investors due to short selling constraints, nor are they profitable due to high trading costs. Incorporating these constraints, we explore a simplified momentum trading strategy that only exploits excess returns from topside momentum for a small number of individual stocks. Building on US data from the New York Stock Exchange from July 1991 to December 2010, we analyze whether such a simplified momentum strategy outperforms the benchmark after factoring in realistic transaction costs and risks. We find that the strategy can indeed work for individual investors with initial investment amounts of at least $5,000. In further attempts to improve this practical trading strategy, we analyze an overlapping momentum trading strategy consisting of a more frequent trading of a smaller number of “winner” stocks. We find that increasing the trading frequency initially increases the risk-adjusted returns of these portfolios up to an optimal point, after which excessive transaction costs begin to dominate the scene. In a calibration study, we find that, depending on the initial investment amount of the portfolio, the optimal momentum trading frequency ranges from bi-yearly to monthly.
Rights
“The final publication is available at Springer via http://dx.doi.org/10.1007/s11408-015-0246-4”.
Recommended Citation
Foltice, Bryan and Langer, Thomas, "Profitable Momentum Trading Strategies for Individual Investors" (2015). Scholarship and Professional Work - Business. 264.
https://digitalcommons.butler.edu/cob_papers/264
Included in
Finance and Financial Management Commons, Management Sciences and Quantitative Methods Commons