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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

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Stochastic Methods in Finance Kerry Back
Libristo kod: 01559747
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, studeni 2004
This volume includes the five lecture courses given at the CIME-EMS School on "Stochastic Methods in... Cijeli opis
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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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Informacije o knjizi

Puni naziv Stochastic Methods in Finance
Autor Kerry Back, Tomasz R. Bielecki, Christian Hipp
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2004
Broj stranica 312
EAN 9783540229537
ISBN 3540229531
Libristo kod 01559747
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Težina 472
Dimenzije 155 x 235 x 17

Kategorija

Reference, Information & Interdisciplinary subjects > Research & information: general > Information theory > Cybernetics & systems theory
Economics, Finance, Business & Management > Finance & accounting > Finance > Public finance & taxation
Mathematics & Science > Mathematics > Optimization > Game theory
Mathematics & Science > Mathematics > Applied mathematics > Stochastics
Mathematics & Science > Mathematics > Probability & statistics
Computing & Information Technology > Computer science
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