Newsletter: Momentum Strategies- Profitability, Predictability, and Risk Management
Revisiting Momentum Strategies: Profitability in Evolving Market Conditions
Momentum strategies have long been a cornerstone of investing, relying on the premise that past winners continue to outperform in the near future. This newsletter explores the effectiveness of momentum strategies, analyzing their ability to generate abnormal returns and assessing their viability in different markets. While previous research has demonstrated the profitability of momentum strategies, recent evidence suggests a decline in return predictability. We then examine how incorporating drawdown control as a risk management tool can enhance performance.
Web-only posts Recap
Below is a summary of the web-only posts I published during last week
Long-Run Variances of Trending and Mean-Reverting Assets
How End-of-Month Returns Predict the Next Month’s Performance
Using VIX Futures Term Structure for Trading, A Machine Learning Approach
Trading Strategies Based on Roughness of Volatility
Optimizing Portfolios Based on Hurst Exponent
Inventory Risk and Its Impact on the Volatility Risk Premium
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Momentum Trading Strategies Across Capital Markets
Momentum trading is a popular investment strategy. Reference [1] reviewed momentum trading across various markets, from developing to developed countries.
Findings
- The momentum strategy involves investors buying stocks that have shown strong performance, anticipating continued positive performance.
- According to the study, most capital market investors employ the momentum strategy, although its implementation varies.
- This variability suggests inefficiencies in several capital markets' development.
- The literature review reveals various interpretations and implementations of the momentum strategy.
- Overall, the findings indicate that momentum strategies are prevalent across global capital markets, including both developed and developing countries.
- These strategies typically manifest over the short term, often observed and tested over periods of at least twelve months.
Reference
[1] G. Syamni, Wardhia, D.P. Sari, B. Nafis, A Review of Momentum Strategy in Capital Market, Advances in Social Science, Education and Humanities Research, volume 495, 2021
Is the Momentum Anomaly Still Present in the Financial Markets?
Reference [2] examined whether the momentum anomaly still exists in the financial markets these days. Specifically, it analyzed the performance of a momentum trading strategy where we determined each asset’s excess return over the past 12 months. If the return is positive, the financial instrument is bought, and if negative, the financial instrument is sold.
Findings
- This paper expands on existing research on trend-following strategies.
- The study confirms the presence of the momentum anomaly during the sample period, showing statistically significant evidence.
- A time series momentum strategy, using the methodology of Moskowitz et al. yields a Sharpe ratio of 0.75, slightly higher than the 0.73 Sharpe ratio from a passive long investment in the same instruments.
- Evidence suggests a decline in return predictability over the past decade, with negative alpha from January 2009 to December 2021 when dividing the sample into three subperiods.
- The decline in return predictability indicates a weakening momentum anomaly.
- Incorporating drawdown control as a risk management measure significantly improves strategy performance, increasing the Sharpe ratio to 1.07 compared to 0.75 without drawdown control.
Reference
[2] David S. Hammerstad and Alf K. Pettersen, The Momentum Anomaly: Can It Still Outperform the Market?, 2022, Department of Finance, BI Norwegian Business School
Closing Thoughts
These studies confirm the relevance of momentum strategies but highlight their declining effectiveness since 2009, suggesting increased market efficiency. While time-series momentum still generates returns, its predictive power has weakened. However, incorporating drawdown control significantly improves performance, making risk management essential for sustaining profitability in evolving market conditions.
Educational Video
Gary Antonacci, How the Creator of Dual Momentum Manages His Portfolio
In this episode, Optimal Momentum founder and author of Dual Momentum Investing: An Innovative Strategy for Higher Returns with Lower Risk, Gary Antonacci, discusses the process used to construct his personal portfolio. The conversation covers the goals he aims to achieve with his portfolio and the unique momentum-based approach utilized to meet them. His views on retirement, his first investment, and the most important lesson for the average investor are also explored.
Around the Quantosphere
-Hedge fund dispersion trades soar amid AI-fuelled tech sell-off (hedgeweek)
-Hedge-Fund Options Bet Surged Most Since 2020 in Tech Tumult (bnnbloomberg)
-How the Man Who Single-Handedly Brought Down One of the World's Oldest Investment Banks Became a Financial Misconduct Investigator (investorpedia)
-Computer-driven hedge funds surged during the DeepSeek turmoil. Human-driven funds fizzled (msn)
-Hedge funds admit they spend too much time on spreadsheets (hedgeweek)
Recent Newsletters
Below is a summary of the weekly newsletters I sent out recently
-The Predictive Power of Dividend Yield in Equity Markets (7 min)
-Monte Carlo Simulations: Pricing Weather Derivatives and Convertible Bonds (8 min)
-PCA in Action, From Commodity Derivatives to Dispersion Trading (8 min)
-CAPM, WACC, and Beyond: Beta’s Application in Arbitrage (8 min)
Disclaimer
This newsletter is not investment advice. It is provided solely for entertainment and educational purposes. Always consult a financial professional before making any investment decisions.
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It's really interesting to me that you brought up Gary Antonacci. I have his book on Dual Momentum which employs ETFs. While I don't use ETFs in particular, I find his paper and research to be very beneficial for more passive ETF investors. I was even thinking of writing a piece on this for ETF investors.
Do I smell a collaboration post?