Buch, Englisch, 459 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 8395 g
Reihe: Springer Finance Textbooks
A Backward Stochastic Differential Equations Perspective
Buch, Englisch, 459 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 8395 g
Reihe: Springer Finance Textbooks
ISBN: 978-3-642-37112-7
Verlag: Springer
Stéphane Crépey’s book starts with a few chapters on classical stochastic processes material, and then. fasten your seatbelt. the author starts traveling backwards in time through backward stochastic differential equations (BSDEs). This does not mean that one has to read the book backwards, like a manga! Rather, the possibility to move backwards in time, even if from a variety of final scenarios following a probability law, opens a multitude of possibilities for all those pricing problems whose solution is not a straightforward expectation. For example, this allows for framing problems like pricing with credit and funding costs in a rigorous mathematical setup. This is, as far as I know, the first book written for several levels of audiences, with applications to financial modeling and using BSDEs as one of the main tools, and as the song says: "it's never as good as the first time".
Damiano Brigo, Chair of Mathematical Finance, Imperial College London
While the classical theory of arbitrage free pricinghas matured, and is now well understood and used by the finance industry, the theory of BSDEs continues to enjoy a rapid growth and remains a domain restricted to academic researchers and a handful of practitioners. Crépey’s book presents this novel approach to a wider community of researchers involved in mathematical modeling in finance. It is clearly an essential reference for anyone interested in the latest developments in financial mathematics.
Marek Musiela, Deputy Director of the Oxford-Man Institute of Quantitative Finance
Zielgruppe
Graduate
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Part I: An Introductory Course in Stochastic Processes.- 1.Some classes of Discrete-Time Stochastic Processes.-2.Some Classes of Continuous-Time Stochastic Processes.- 3.Elements of Stochastic Analysis.- Part II: Pricing Equations.- 4.Martingale Modeling.- 5.Benchmark Models.- Part III: Numerical Solutions.- 6.Monte Carlo Methods.- 7.Tree Methods.- 8.Finite Differences.- 9.Callibration Methods.- Part IV: Applications.- 10.Simulation/ Regression Pricing Schemes in Diffusive Setups.- 11.Simulation/ Regression Pricing Schemes in Pure Jump Setups.- Part V: Jump-Diffusion Setup with Regime Switching (**).- 12.Backward Stochastic Differential Equations.- 13.Analytic Approach.- 14.Extensions.- Part VI: Appendix.- A.Technical Proofs (**).- B.Exercises.- C.Corrected Problem Sets.