External Research – Managed Futures


On this page we present various interesting research articles for Managed Futures / CTA strategies. Most of them are focused on trend following strategies.

Trend Following

Time-Series Momentum: Is It There? (Dashan Huang, Jiangyuan Li, Liyao Wang, Guofu Zhou)

Time series momentum (TSM) refers to the predictability of the past 12-month return on the next one-month return and is the focus of several recent influential studies. This paper shows that asset by-asset time series regressions reveal little evidence of TSM, both in- and out-of-sample. While the t-statistic in a pooled regression appears large, it is not statistically reliable as it is less than the
critical values of parametric and nonparametric bootstraps. From an investment perspective, the TSM strategy is profitable, but its performance is virtually the same as that of a similar strategy that is based on historical sample mean and does not require predictability. Overall, the evidence on TSM is weak, particularly for the large cross section of assets.

Download the paper here: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3165284

When It Pays to Follow the Crowd: Strategy Conformity and CTA Performance (Nicolas P.B. Bollen, Mark C. Hutchinson, John O’Brien)

Prior research in hedge fund and mutual fund management finds a positive relation between portfolio distinctiveness and subsequent performance, suggesting that strategy differentiation is associated with superior skill. We find that CTAs with returns that correlate more strongly with those of peers feature higher performance and are more highly exposed to a time series momentum factor. In contrast to hedge funds and mutual funds, CTA strategy conformity appears to be a signal of managerial skill. These results indicate that a common trend following strategy drives CTA returns and that CTAs offer investors an opportunity to invest in momentum.

Download the paper here: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481243

AQR: You Can’t Always Trend When You Want (Abhilash Babu, Brendan Hoffman, Ari Levine, Yao Hua Ooi, Sarah Schroeder, Erik Stamelos)

We present a novel framework to decompose the drivers of trend-following performance into (i) the magnitude of market moves, (ii) the strategy’s ability to profit from those market moves, and (iii) the degree of diversification across markets. This framework allows us to examine why trend performance has been below the strategy’s long-term average return during the current decade. We find that the lower performance of the strategy is neither explained by (ii) nor (iii): trend following has continued to profit from market moves and benefit from diversification. Instead, the primary explanatory factor is (i), namely that the average size of global market moves has been more muted than usual in the current decade. The fact that trend-following strategies continue to translate market moves into profits in a diversified manner suggests that trend-following investing may see stronger performance in market environments characterized by more pronounced movements in markets going forward.

Download the paper here: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3487134