Reflected backward stochastic differential equations and a class of non linear dynamic pricing rule
Abstract
In that paper, we provide a new characterization of the solutions of specific reflected backward stochastic differential equations (or RBSDEs) whose driver $g$ is convex and has quadratic growth in its second variable: this is done by introducing the extended notion of $g$-Snell enveloppe. Then, in a second step, we relate this representation to a specific class of dynamic monetary concave functionals already introduced in a discrete time setting. This connection implies that the solution, characterized by means of non linear expectations, has again the time consistency property.
- Publication:
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arXiv e-prints
- Pub Date:
- February 2008
- arXiv:
- arXiv:0802.2172
- Bibcode:
- 2008arXiv0802.2172M
- Keywords:
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- Quantitative Finance - Pricing of Securities;
- Mathematics - Probability;
- 60H10;
- 91B28
- E-Print:
- 20 pages, partial modification of the content