Abstract
In this chapter we first introduce Backward SDEs by means of a popular application, option pricing and hedging. We show how these problems lead naturally to BSDEs, and then, we provide the basic theory. We present the important Comparison Theorem for BSDEs. Existence and uniqueness are first shown under Lipschitz and square-integrability conditions. Then, the case of quadratic growth is studied, often encountered in applications. In Markovian models a connection to PDEs is established, which can be useful for numerical solutions.
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References
Bender, C., Denk, R.: A forward scheme for backward SDEs. Stoch. Process. Appl. 117, 1793–1812 (2007)
Bouchard, B., Touzi, N.: Discrete-time approximation and Monte-Carlo simulation of backward stochastic differential equations. Stoch. Process. Appl. 111, 175–206 (2004)
Briand, P., Hu, Y.: BSDE with quadratic growth and unbounded terminal value. Probab. Theory Relat. Fields 136, 604–618 (2006)
Briand, P., Hu, Y.: Quadratic BSDEs with convex generators and unbounded terminal conditions. Probab. Theory Relat. Fields 141, 543–567 (2008)
Crisan, D., Manolarakis, K.: Solving backward stochastic differential equations using the cubature method: application to nonlinear pricing. SIAM J. Financ. Math. 3, 534–571 (2012)
El Karoui, N., Peng, S., Quenez, M.C.: Backward stochastic differential equations in finance. Math. Finance 7, 1–71 (1997)
Gobet, E., Lemor, J.-P., Warin, X.: A regression-based Monte-Carlo method to solve backward stochastic differential equations. Ann. Appl. Probab. 15, 2172–2202 (2005)
Kobylanski, M.: Backward stochastic differential equations and partial differential equations with quadratic growth. Ann. Probab. 28, 558–602 (2000)
Pardoux, E., Peng, S.: Adapted solution of a backward stochastic differential equation. Syst. Control Lett. 14, 55–61 (1990)
Pardoux, E., Peng, S.: Backward Stochastic Differential Equations and Quasilinear Parabolic Partial Differential Equations. Lecture Notes in Control and Inform. Sci., vol. 176, pp. 200–217. Springer, New York (1992)
Peng, S.: Probabilistic interpretation for systems of quasilinear parabolic partial differential equations. Stochastics 37, 61–74 (1991)
Zhang, J.: A numerical scheme for BSDEs. Ann. Appl. Probab. 14, 459–488 (2004)
Zhang, J.: Backward Stochastic Differential Equations. Book manuscript, University of Southern California (2011, in preparation)
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Cvitanić, J., Zhang, J. (2013). Backward SDEs. In: Contract Theory in Continuous-Time Models. Springer Finance. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14200-0_9
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DOI: https://doi.org/10.1007/978-3-642-14200-0_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14199-7
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