Tail protection for long investors: Trend convexity at work
Tung-Lam Dao, Trung-Tu Nguyen, Cyril Deremble, Yves Lemp\'eri\`ere,, Jean-Philippe Bouchaud, Marc Potters

TL;DR
This paper explores how trend following strategies derive their positive convexity from the difference in realized variances, revealing stronger effects than previously thought and connecting to risk parity and options-based long-term variance exposure.
Contribution
It demonstrates the robustness of trend convexity across various definitions and introduces a new options portfolio to access long-term variance exposure.
Findings
Trend strategies' performance linked to variance differences.
Aggregate CTA performance shows stronger convexity than expected.
Proposes a strangle options portfolio for long-term variance exposure.
Abstract
The performance of trend following strategies can be ascribed to the difference between long-term and short-term realized variance. We revisit this general result and show that it holds for various definitions of trend strategies. This explains the positive convexity of the aggregate performance of Commodity Trading Advisors (CTAs) which -- when adequately measured -- turns out to be much stronger than anticipated. We also highlight interesting connections with so-called Risk Parity portfolios. Finally, we propose a new portfolio of strangle options that provides a pure exposure to the long-term variance of the underlying, offering yet another viewpoint on the link between trend and volatility.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
