
Stochastic Methods in Finance: Lectures given at the C.I.M.E.-E.M.S. Summer School held in Bressanone/Brixen, Italy, July 6-12, 2003: 1856 2004th Edition
Author(s): Kerry Back (Author), Tomasz R. Bielecki (Author), Christian Hipp (Author), Shige Peng (Author), Walter Schachermayer (Author), Marco Frittelli (Editor), Wolfgang J. Runggaldier (Editor)
- Publisher: Springer
- Publication Date: 22 Nov. 2004
- Edition: 2004th
- Language: English
- Print length: 328 pages
- ISBN-10: 3540229531
- ISBN-13: 9783540229537
Book Description
This volume includes the five lecture courses given at the CIME-EMS School on “Stochastic Methods in Finance” held in Bressanone/Brixen, Italy 2003. It deals with innovative methods, mainly from stochastic analysis, that play a fundamental role in the mathematical modelling of finance and insurance: the theory of stochastic processes, optimal and stochastic control, stochastic differential equations, convex analysis and duality theory. Five topics are treated in detail: Utility maximization in incomplete markets; the theory of nonlinear expectations and its relationship with the theory of risk measures in a dynamic setting; credit risk modelling; the interplay between finance and insurance; incomplete information in the context of economic equilibrium and insider trading.
Editorial Reviews
From the Back Cover
This volume includes the five lecture courses given at the CIME-EMS School on “Stochastic Methods in Finance” held in Bressanone/Brixen, Italy 2003. It deals with innovative methods, mainly from stochastic analysis, that play a fundamental role in the mathematical modelling of finance and insurance: the theory of stochastic processes, optimal and stochastic control, stochastic differential equations, convex analysis and duality theory. Five topics are treated in detail: Utility maximization in incomplete markets; the theory of nonlinear expectations and its relationship with the theory of risk measures in a dynamic setting; credit risk modelling; the interplay between finance and insurance; incomplete information in the context of economic equilibrium and insider trading.
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