Advances in Mathematical Finance

Advances in Mathematical Finance
Author: Michael C. Fu
Publisher: Springer Science & Business Media
Total Pages: 345
Release: 2007-06-22
Genre: Business & Economics
ISBN: 0817645454

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This self-contained volume brings together a collection of chapters by some of the most distinguished researchers and practitioners in the field of mathematical finance and financial engineering. Presenting state-of-the-art developments in theory and practice, the book has real-world applications to fixed income models, credit risk models, CDO pricing, tax rebates, tax arbitrage, and tax equilibrium. It is a valuable resource for graduate students, researchers, and practitioners in mathematical finance and financial engineering.


Advances in Mathematical Finance
Language: en
Pages: 345
Authors: Michael C. Fu
Categories: Business & Economics
Type: BOOK - Published: 2007-06-22 - Publisher: Springer Science & Business Media

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This self-contained volume brings together a collection of chapters by some of the most distinguished researchers and practitioners in the field of mathematical
Advanced Mathematical Methods for Finance
Language: en
Pages: 532
Authors: Julia Di Nunno
Categories: Mathematics
Type: BOOK - Published: 2011-03-29 - Publisher: Springer Science & Business Media

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This book presents innovations in the mathematical foundations of financial analysis and numerical methods for finance and applications to the modeling of risk.
Advanced Modelling in Mathematical Finance
Language: en
Pages: 508
Authors: Jan Kallsen
Categories: Mathematics
Type: BOOK - Published: 2016-12-01 - Publisher: Springer

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This Festschrift resulted from a workshop on “Advanced Modelling in Mathematical Finance” held in honour of Ernst Eberlein’s 70th birthday, from 20 to 22
Mathematical Modeling And Computation In Finance: With Exercises And Python And Matlab Computer Codes
Language: en
Pages: 1310
Authors: Cornelis W Oosterlee
Categories: Business & Economics
Type: BOOK - Published: 2019-10-29 - Publisher: World Scientific

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This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models
A Primer for the Mathematics of Financial Engineering
Language: en
Pages: 332
Authors: Dan Stefanica
Categories: Business mathematics
Type: BOOK - Published: 2011 - Publisher:

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