Abstract
We study optimal stochastic control problems of general coupled systems of forward-backward stochastic differential equations with jumps. By means of the Itô-Ventzell formula, the system is transformed into a controlled backward stochastic partial differential equation. Using a comparison principle for such equations we obtain a general stochastic Hamilton-Jacobi-Bellman (HJB) equation for the value function of the control problem. In the case of Markovian optimal control of jump diffusions, this equation reduces to the classical HJB equation. The results are applied to study risk minimization in financial markets.
This research was carried out with support of CAS—Centre for Advanced Study, at the Norwegian Academy of Science and Letters, within the research program SEFE.
The research leading to these results has received funding from the European Research Council under the European Community’s Seventh Framework Programme (FP7/2007–2013)/ERC grant agreement no [228087].
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References
Buckdahn, R., Ma, J.: Pathwise stochastic control problems and stochastic HJB equations. SIAM J. Control Optim. 45, 2224–2256 (2007)
Ekren, I., Touzi, N., Zhang, J.: Viscosity solutions of fully nonlinear parabolic path dependent PDEs: part I. arXiv:1210.0006v2
Hu, Y., Peng, S.: Solution of forward-backward stochastic differential equations. Probab. Theory Relat. Fields 103, 273–283 (1995)
Ma, J., Protter, P., Yong, J.: Solving forward-backward stochastic differential equations explicitly—a four step scheme. Probab. Theory Relat. Fields 98, 339–359 (1994)
Ma, J., Yin, H., Zhang, T.: On non-Markovian forward-backward SDEs and backward stochastic PDEs. Stoch. Process. Appl. 122, 3980–4004 (2012)
Øksendal, B., Sulem, A., Zhang, T.: A comparison theorem for backward SPDEs with jumps (10 pages). In: Chen, Z.-Q., Jacob, N., Takeda, M., Uemura, T. (eds.) Festschrift Masatoshi Fukushima. World Scientific 2015, 479–487 (2014). arXiv:1402.4244
Øksendal, B., Sulem, A.: Applied Stochastic Control of Jump Diffusions, 2nd edn. Springer (2007)
Øksendal, B., Sulem, A.: Risk minimization in financial markets modelled by Itô-Lévy processes. arXiv:1402.3131 (February 2014). Afr. Matematika doi:10.1007/s13370-014-0248-9 (2014)
Øksendal, B., Zhang, T.: The Itô-Ventzell formula and forward stochastic differential equations driven by Poisson random measures. Osaka J. Math. 44, 207–230 (2007)
Peng, S.: Stochastic Hamilton-Jacobi-Bellman equations. SIAM J. Control Optim. 30, 284–304 (1992)
Prévôt, C.I., Röckner, M.: A concise course on stochastic partial differential equations. In: Lecture Notes in Mathematics 1905. Springer (2007)
Quenez, M.-C., Sulem, A.: BSDEs with jumps, optimization and applications to dynamic risk measures. Stoch. Process. Appl. 123, 3328–3357 (2013)
Royer, M.: Backward stochastic differential equations with jumps and related non-linear expectations. Stoch. Process. Appl. 116, 1358–1376 (2006)
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Øksendal, B., Sulem, A., Zhang, T. (2016). A Stochastic HJB Equation for Optimal Control of Forward-Backward SDEs. In: Podolskij, M., Stelzer, R., Thorbjørnsen, S., Veraart, A. (eds) The Fascination of Probability, Statistics and their Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-25826-3_20
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DOI: https://doi.org/10.1007/978-3-319-25826-3_20
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