Artur Sepp Blog on Quantitative Investment Strategies

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    • Trend-following strategies for tail-risk hedging and alpha generation

      Posted at 11:39 am by artursepp, on April 24, 2018

      Because of the adaptive nature of position sizing, trend-following strategies can generate the positive skewness of their returns, when infrequent large gains compensate overall for frequent small losses. Further, trend-followers can produce the positive convexity of their returns with respect to stock market indices, when large gains are realized during either very bearish or very bullish markets. The positive convexity along with the overall positive performance make trend-following strategies viable diversifiers and alpha generators for both long-only portfolios and alternatives investments.

      I provide a practical analysis of how the skewness and convexity profiles of trend-followers depend on the trend smoothing parameter differentiating between slow-paced and fast-paced trend-followers. I show how the returns measurement frequency affects the realized convexity of the trend-followers. Finally, I discuss an interesting connection between trend-following and stock momentum strategies and illustrate the benefits of allocation to trend-followers within alternatives portfolio.

      Interested readers can download the pdf of my paper Trend following strategies for tail-risk hedging and alpha generation or access the paper through SSRN web

      Key takeaway

      1. Risk-profile of quant strategies

      The skewness and the convexity of strategy returns with respect to the benchmark are the key metrics to assess the risk-profile of quant strategies. Strategies with the significant positive skewness and convexity are expected to generate large gains during market stress periods and, as a result, convex strategies can serve as robust diversifiers. Using benchmark Eurekahedge indices on major hedge fund strategies, I show the following.

        • While long volatility hedge funds produce the positive skewness, they do not produce the positive convexity.
        • Tail risk hedge funds can generate significant skewness and convexity, however at the expense of strongly negative overall performance.
        • Trend-following CTAs can produce significant positive convexity similar to the tail risk funds and yet trend-followers can produce positive overall performance delivering alpha over long horizons.
        • On the other spectrum, short volatility funds exibit significant negative convexity in tail events.

      Fig2HFconv

      HFSkew

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      Posted in Asset Allocation, Quantitative Strategies, Trend-following, Uncategorized | 1 Comment
    • Diversifying Cyclicality Risk of Quantitative Investment Strategies: presentation slides and webinar Q&A

      Posted at 5:21 pm by artursepp, on December 1, 2017

      What is the most significant contributing factor to the performance of a quantitative fund: its signal generators or its risk allocators? Can we still succeed if we have good signal generators but poor risk management? How should we allocate to a portfolio of quantitative strategies?

      I have developed a top-down and bottom-up model for portfolio allocation and risk-management of quantitative strategies. The interested readers can find  the slides of my presentation here  and can watch the webinar can be viewed on youtube.

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      Posted in Asset Allocation, Quantitative Strategies, Trend-following, Uncategorized, Volatility Modeling, Volatility Trading | 1 Comment
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