Skip to main content
Log in

Pathwise superhedging on prediction sets

  • Published:
Finance and Stochastics Aims and scope Submit manuscript

Abstract

In this paper, we provide a pricing–hedging duality for the model-independent superhedging price with respect to a prediction set \(\Xi \subseteq C[0,T]\), where the superhedging property needs to hold pathwise, but only for paths lying in \(\Xi \). For any Borel-measurable claim \(\xi \) bounded from below, the superhedging price coincides with the supremum over all pricing functionals \(\mathbb{E}_{\mathbb{Q}}[ \xi ]\) with respect to martingale measures ℚ concentrated on the prediction set \(\Xi \). This allows us to include beliefs about future paths of the price process expressed by the set \(\Xi \), while eliminating all those which are seen as impossible. Moreover, we provide several examples to justify our setup.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Acciaio, B., Beiglböck, M., Penkner, F., Schachermayer, W.: A model-free version of the fundamental theorem of asset pricing and the super-replication theorem. Math. Finance 26, 233–251 (2016)

    Article  MathSciNet  Google Scholar 

  2. Avellaneda, M., Levy, A., Parás, A.: Pricing and hedging derivative securities in markets with uncertain volatilities. Appl. Math. Finance 2, 73–88 (1995)

    Article  Google Scholar 

  3. Bartl, D., Kupper, M., Prömel, D., Tangpi, L.: Duality for pathwise superhedging in continuous time. Finance Stoch. 23, 697–728 (2019)

    Article  MathSciNet  Google Scholar 

  4. Bartl, D., Cheridito, P., Kupper, M.: Robust expected utility maximization with medial limits. J. Math. Anal. Appl. 471, 752–775 (2019)

    Article  MathSciNet  Google Scholar 

  5. Beiglböck, M., Cox, A.M.G., Huesmann, M., Perkowski, N., Prömel, D.J.: Pathwise superreplication via Vovk’s outer measure. Finance Stoch. 21, 1141–1166 (2017)

    Article  MathSciNet  Google Scholar 

  6. Burzoni, M., Frittelli, M., Maggis, M.: Universal arbitrage aggregator in discrete time under uncertainty. Finance Stoch. 20, 1–50 (2016)

    Article  MathSciNet  Google Scholar 

  7. Cheridito, P., Kiiski, M., Prömel, D.J., Soner, H.M.: Martingale optimal transport duality. Preprint, 2019. Available online at https://arxiv.org/abs/1904.04644

  8. Cvitanić, J., Pham, H., Touzi, N.: Super-replication in stochastic volatility models under portfolio constraints. J. Appl. Probab. 36, 523–545 (1999)

    Article  MathSciNet  Google Scholar 

  9. Denis, L., Martini, C.: A theoretical framework for the pricing of contingent claims in the presence of model uncertainty. Ann. Appl. Probab. 16, 827–852 (2006)

    Article  MathSciNet  Google Scholar 

  10. Dolinsky, Y., Neufeld, A.: Super-replication in fully incomplete markets. Math. Finance 28, 483–515 (2018)

    Article  MathSciNet  Google Scholar 

  11. Dolinsky, Y., Soner, H.M.: Martingale optimal transport and robust hedging in continuous time. Probab. Theory Relat. Fields 160, 391–427 (2014)

    Article  MathSciNet  Google Scholar 

  12. El Karoui, N., Quenez, M.-C.: Dynamic programming and pricing of contingent claims in an incomplete market. SIAM J. Control Optim. 33, 29–66 (1995)

    Article  MathSciNet  Google Scholar 

  13. Ellsberg, D.: Risk, ambiguity and the Savage axioms. Q. J. Econ. 75, 643–669 (1961)

    Article  MathSciNet  Google Scholar 

  14. Föllmer, H.: Calcul d’Itô sans probabilités. In: Azéma, J., Yor, M. (eds.) Séminaire de Probabilités, XV, Univ. Strasbourg, Strasbourg, 1979/1980. Lecture Notes in Math., vol. 850, pp. 143–150. Springer, Berlin (1981)

    Google Scholar 

  15. Frey, R., Sin, C.A.: Bounds on European option prices under stochastic volatility. Math. Finance 9, 97–116 (1999)

    Article  MathSciNet  Google Scholar 

  16. Haussmann, U.G.: Existence of optimal Markovian controls for degenerate diffusions. In: Christopeit, N., et al. (eds.) Stochastic Differential Systems. Lecture Notes in Control and Inform., vol. 78, pp. 171–186. Springer, Berlin (1986)

    Chapter  Google Scholar 

  17. Hobson, D.: Robust hedging of the lookback option. Finance Stoch. 2, 329–347 (1998)

    Article  Google Scholar 

  18. Hou, Z., Obłój, J.: Robust pricing-hedging dualities in continuous time. Finance Stoch. 22, 511–567 (2018)

    Article  MathSciNet  Google Scholar 

  19. Karandikar, R.L.: On pathwise stochastic integration. Stoch. Process. Appl. 57, 11–18 (1995)

    Article  MathSciNet  Google Scholar 

  20. Kellerer, H.G.: Duality theorems for marginal problems. Z. Wahrscheinlichkeitstheor. Verw. Geb. 67, 399–432 (1984)

    Article  MathSciNet  Google Scholar 

  21. Knight, F.H.: Risk, Uncertainty and Profit. Houghton Mifflin Company, Boston (1921)

    Google Scholar 

  22. Liu, C., Neufeld, A.: Compactness criterion for semimartingale laws and semimartingale optimal transport. Trans. Am. Math. Soc. 372, 187–231 (2019)

    Article  MathSciNet  Google Scholar 

  23. Lyons, T.J.: Uncertain volatility and the risk-free synthesis of derivatives. Appl. Math. Finance 2, 117–133 (1995)

    Article  Google Scholar 

  24. Mykland, P.A.: Financial options and statistical prediction intervals. Ann. Stat. 31, 1413–1438 (2003)

    Article  MathSciNet  Google Scholar 

  25. Neufeld, A.: Buy-and-hold property for fully incomplete markets when super-replicating Markovian claims. Int. J. Theor. Appl. Finance 21, 1850051 (2018)

    Article  MathSciNet  Google Scholar 

  26. Neufeld, A., Nutz, M.: Superreplication under volatility uncertainty for measurable claims. Electron. J. Probab. 18, 1–14 (2013)

    Article  MathSciNet  Google Scholar 

  27. Neufeld, A., Nutz, M.: Measurability of semimartingale characteristics with respect to the probability law. Stoch. Process. Appl. 124, 3819–3845 (2014)

    Article  MathSciNet  Google Scholar 

  28. Nutz, M., Soner, H.M.: Superhedging and dynamic risk measures under volatility uncertainty. SIAM J. Control Optim. 50, 2065–2089 (2012)

    Article  MathSciNet  Google Scholar 

  29. Nutz, M., Zhang, J.: Optimal stopping under adverse nonlinear expectation and related games. Ann. Appl. Probab. 25, 2503–2534 (2015)

    Article  MathSciNet  Google Scholar 

  30. Peng, S.: \(G\)-expectation, \(G\)-Brownian motion and related stochastic calculus of Itô type. In: Benth, F.E., et al. (eds.) Stochastic Analysis and Applications. Abel Symp, vol. 2, pp. 541–567. Springer, Berlin (2007)

    Chapter  Google Scholar 

  31. Perkowski, N., Prömel, D.J.: Pathwise stochastic integrals for model free finance. Bernoulli 22, 2486–2520 (2016)

    Article  MathSciNet  Google Scholar 

  32. Possamaï, D., Royer, G., Touzi, N.: On the robust superhedging of measurable claims. Electron. Commun. Probab. 18, 1–13 (2013)

    Article  MathSciNet  Google Scholar 

  33. Soner, H.M., Touzi, N., Zhang, J.: Wellposedness of second order backward SDEs. Probab. Theory Relat. Fields 153, 149–190 (2012)

    Article  MathSciNet  Google Scholar 

  34. Tan, X., Touzi, N.: Optimal transportation under controlled stochastic dynamics. Ann. Probab. 41, 3201–3240 (2013)

    Article  MathSciNet  Google Scholar 

  35. Vovk, V.: Continuous-time trading and the emergence of probability. Finance Stoch. 16, 561–609 (2012)

    Article  MathSciNet  Google Scholar 

  36. Vovk, V.: Another example of duality between game-theoretic and measure-theoretic probability. Preprint, 2016. Available online at https://arxiv.org/abs/1608.02706

Download references

Acknowledgement

Part of this research was carried out while the first author was visiting the Shanghai Advanced Institute of Finance and the School of Mathematical Sciences at the Shanghai Jiao Tong University in China, and he would like to thank Samuel Drapeau for his hospitality. This author also acknowledges financial support by the Vienna Science and Technology Fund (WWTF) through project VRG17-005 and by the Austrian Science Fund (FWF) under grant Y00782. The third author gratefully acknowledges the financial support by the NAP Grant and by the Swiss National Foundation Grant SNF 200020\(\_\)172815.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ariel Neufeld.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bartl, D., Kupper, M. & Neufeld, A. Pathwise superhedging on prediction sets. Finance Stoch 24, 215–248 (2020). https://doi.org/10.1007/s00780-019-00412-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00780-019-00412-4

Keywords

Mathematics Subject Classification (2010)

JEL Classification

Navigation