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On the Martingale Schrödinger Bridge between Two Distributions

Published 10 Jan 2024 in math.PR and q-fin.MF | (2401.05209v1)

Abstract: We study a martingale Schr\"odinger bridge problem: given two probability distributions, find their martingale coupling with minimal relative entropy. Our main result provides Schr\"odinger potentials for this coupling. Namely, under certain conditions, the log-density of the optimal coupling is given by a triplet of real functions representing the marginal and martingale constraints. The potentials are also described as the solution of a dual problem.

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References (33)
  1. The space of outcomes of semi-static trading strategies need not be closed. Finance Stoch., 21(3):741–751, 2017.
  2. Optimal and better transport plans. J. Funct. Anal., 256(6):1907–1927, 2009.
  3. Model-independent bounds for option prices: a mass transport approach. Finance Stoch., 17(3):477–501, 2013.
  4. Approximation of martingale couplings on the line in the adapted weak topology. Probab. Theory Related Fields, 183(1-2):359–413, 2022.
  5. Complete duality for martingale optimal transport on the line. Ann. Probab., 45(5):3038–3074, 2017.
  6. S. Chewi and A.-A. Pooladian. An entropic generalization of Caffarelli’s contraction theorem via covariance inequalities. C. R. Math. Acad. Sci. Paris, 361:1471–1483, 2023.
  7. I. Csiszár. I𝐼Iitalic_I-divergence geometry of probability distributions and minimization problems. Ann. Probab., 3:146–158, 1975.
  8. H. De March and P. Henry-Labordère. Building arbitrage-free implied volatility: Sinkhorn’s algorithm and variants. Preprint SSRN:3326486, 2019.
  9. A. Doldi and M. Frittelli. Entropy martingale optimal transport and nonlinear pricing-hedging duality. Finance Stoch., 27(2):255–304, 2023.
  10. On entropy martingale optimal transport theory. Preprint, 2023.
  11. R. Durrett. Probability: theory and examples, volume 31 of Cambridge Series in Statistical and Probabilistic Mathematics. Cambridge University Press, Cambridge, fourth edition, 2010.
  12. H. Föllmer. Random fields and diffusion processes. In École d’Été de Probabilités de Saint-Flour XV–XVII, 1985–87, volume 1362 of Lecture Notes in Math., pages 101–203. Springer, Berlin, 1988.
  13. H. Föllmer and N. Gantert. Entropy minimization and Schrödinger processes in infinite dimensions. Ann. Probab., 25(2):901–926, 1997.
  14. A stochastic control approach to no-arbitrage bounds given marginals, with an application to lookback options. Ann. Appl. Probab., 24(1):312–336, 2014.
  15. Sample complexity of Sinkhorn divergences. In The 22nd International Conference on Artificial Intelligence and Statistics, pages 1574–1583. PMLR, 2019.
  16. Stability of entropic optimal transport and Schrödinger bridges. J. Funct. Anal., 283(9):Paper No. 109622, 2022.
  17. G. Guo and J. Obłój. Computational methods for martingale optimal transport problems. Ann. Appl. Probab., 29(6):3311–3347, 2019.
  18. J. Guyon. The joint S&P 500/VIX smile calibration puzzle solved. Risk, 2020.
  19. J. Guyon. Dispersion-constrained martingale Schrödinger problems and the exact joint S&P 500/VIX smile calibration puzzle. Preprint SSRN:3853237, 2021.
  20. P. Henry-Labordère. From (martingale) Schrödinger bridges to a new class of stochastic volatility model. Preprint SSRN:3353270, 2019.
  21. D. Hobson. Robust hedging of the lookback option. Finance Stoch., 2(4):329–347, 1998.
  22. C. Léonard. A survey of the Schrödinger problem and some of its connections with optimal transport. Discrete Contin. Dyn. Syst., 34(4):1533–1574, 2014.
  23. Optimal entropy-transport problems and a new Hellinger-Kantorovich distance between positive measures. Invent. Math., 211(3):969–1117, 2018.
  24. M. Nutz. Introduction to Entropic Optimal Transport. Lecture notes, Columbia University, 2021. https://www.math.columbia.edu/~mnutz/docs/EOT_lecture_notes.pdf.
  25. M. Nutz and J. Wiesel. Entropic optimal transport: convergence of potentials. Probab. Theory Related Fields, 184(1-2):401–424, 2022.
  26. Limits of semistatic trading strategies. Math. Finance, 33(1):185–205, 2023.
  27. Martingale Schrödinger bridges and optimal semistatic portfolios. Finance Stoch., 27(1):233–254, 2023.
  28. G. Peyré and M. Cuturi. Computational optimal transport: With applications to data science. Foundations and Trends in Machine Learning, 11(5-6):355–607, 2019.
  29. L. Rüschendorf and W. Thomsen. Note on the Schrödinger equation and I𝐼Iitalic_I-projections. Statist. Probab. Lett., 17(5):369–375, 1993.
  30. L. Rüschendorf and W. Thomsen. Closedness of sum spaces and the generalized Schrödinger problem. Teor. Veroyatnost. i Primenen., 42(3):576–590, 1997.
  31. E. Schrödinger. Über die Umkehrung der Naturgesetze. Sitzungsberichte Preuss. Akad. Wiss. Akad. Wiss., Berlin. Phys. Math., 144:144–153, 1931.
  32. V. Strassen. The existence of probability measures with given marginals. Ann. Math. Statist., 36:423–439, 1965.
  33. J. Wiesel. Continuity of the martingale optimal transport problem on the real line. Ann. Appl. Probab., 33(6A):4645–4692, 2023.
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