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Optimal Entry and Exit with Signature in Statistical Arbitrage (2309.16008v4)

Published 27 Sep 2023 in q-fin.CP

Abstract: In this paper, we explore an optimal timing strategy for the trading of price spreads exhibiting mean-reverting characteristics. A sequential optimal stopping framework is formulated to analyze the optimal timings for both entering and subsequently liquidating positions, all while considering the impact of transaction costs. Then we leverages a refined signature optimal stopping method to resolve this sequential optimal stopping problem, thereby unveiling the precise entry and exit timings that maximize gains. Our framework operates without any predefined assumptions regarding the dynamics of the underlying mean-reverting spreads, offering adaptability to diverse scenarios. Numerical results are provided to demonstrate its superior performance when comparing with conventional mean reversion trading rules.

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References (27)
  1. Statistical arbitrage in the us equities market. Quantitative Finance, 10(7):761–782, 2010.
  2. Optimal stopping with signatures. arXiv preprint arXiv:2105.00778, 2021.
  3. Recent developments in bootstrapping time series. Econometric Reviews, 19(1):1–48, 2000.
  4. Arbitrage in stock index futures. Journal of Business, 63(1):S7–S31, 1990.
  5. Optimal arbitrage strategies on stock index futures under position limits. Journal of Futures Markets, 31(4):394–406, 2011.
  6. Alexandre d’Aspremont. Identifying small mean-reverting portfolios. Quantitative Finance, 11(3):351–364, 2011.
  7. Are pairs trading profits robust to trading costs? Journal of Financial Research, 35(2):261–287, 2012.
  8. A new approach to modeling and estimation for pairs trading. In Proceedings of 2006 financial management association European conference, volume 1, pages 87–99. Citeseer, 2006.
  9. Optimal liquidation of a pairs trade. Advanced mathematical methods for finance, pages 247–255, 2011.
  10. Pairs trading. Quantitative Finance, 5(3):271–276, 2005.
  11. Co-integration and error correction: representation, estimation, and testing. Econometrica, 55(2):251–276, 1987.
  12. Trading in the presence of cointegration. The Journal of Alternative Investments, 15(1):85–97, 2012.
  13. Pairs trading: Performance of a relative-value arbitrage rule. Review of Financial Studies, 19(3):797–827, 2006.
  14. Deep learning statistical arbitrage. Available at SSRN 3862004, 2021.
  15. Uniqueness for the signature of a path of bounded variation and the reduced path group. Annals of Mathematics, pages 109–167, 2010.
  16. Pairs trading and selection methods: is cointegration superior? Applied Economics, 47(6):599–613, 2015.
  17. A profit model for spread trading with an application to energy futures. The Journal of Trading, 5(1):48–62, 2010.
  18. Optimal mean reversion trading with transaction costs and stop-loss exit. International Journal of Theoretical and Applied Finance, 18(03):1550020, 2015.
  19. Optimal Mean Reversion Trading: Mathematical Analysis and Practical Applications. Modern Trends in Financial Engineering. World Scientific Publishing Company, 2016.
  20. Constructing cointegrated cryptocurrency portfolios for statistical arbitrage. Studies in Economics and Finance, 2019.
  21. Sparse mean-reverting portfolios via penalized likelihood optimization. Automatica, 111:108651, 2020.
  22. Pairs trading: A copula approach. Journal of Derivatives & Hedge Funds, 19(1):12–30, 2013.
  23. G. Montana and K. Triantafyllopoulos. Dynamic modeling of mean reverting spreads for statistical arbitrage. Computational Management Science, 8:23–49, 2011.
  24. Stochastic optimization methods for buying-low-and-selling-high strategies. Stochastic Analysis and Applications, 27(3):523–542, 2009.
  25. Ganapathy Vidyamurthy. Pairs Trading: quantitative methods and analysis, volume 217. John Wiley & Sons, 2004.
  26. Pairs trading with copulas. The Journal of Trading, 11(3):41–52, 2016.
  27. Time-series generative adversarial networks. Advances in neural information processing systems, 32, 2019.

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