Stochastic Calculus for Finance I

Stochastic Calculus for Finance I
Author: Steven Shreve
Publisher: Springer Science & Business Media
Total Pages: 212
Release: 2005-06-28
Genre: Mathematics
ISBN: 9780387249681


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Developed for the professional Master's program in Computational Finance at Carnegie Mellon, the leading financial engineering program in the U.S. Has been tested in the classroom and revised over a period of several years Exercises conclude every chapter; some of these extend the theory while others are drawn from practical problems in quantitative finance


Stochastic Calculus for Finance I
Language: en
Pages: 212
Authors: Steven Shreve
Categories: Mathematics
Type: BOOK - Published: 2005-06-28 - Publisher: Springer Science & Business Media

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Developed for the professional Master's program in Computational Finance at Carnegie Mellon, the leading financial engineering program in the U.S. Has been test
Stochastic Calculus for Finance II
Language: en
Pages: 0
Authors: Steven Shreve
Categories: Mathematics
Type: BOOK - Published: 2010-12-01 - Publisher: Springer

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"A wonderful display of the use of mathematical probability to derive a large set of results from a small set of assumptions. In summary, this is a well-written
Stochastic Calculus and Financial Applications
Language: en
Pages: 303
Authors: J. Michael Steele
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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Stochastic calculus has important applications to mathematical finance. This book will appeal to practitioners and students who want an elementary introduction
Elementary Stochastic Calculus with Finance in View
Language: en
Pages: 230
Authors: Thomas Mikosch
Categories: Mathematics
Type: BOOK - Published: 1998 - Publisher: World Scientific

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Modelling with the Ito integral or stochastic differential equations has become increasingly important in various applied fields, including physics, biology, ch
Stochastic Calculus for Finance II
Language: en
Pages: 586
Authors: Steven E. Shreve
Categories: Business & Economics
Type: BOOK - Published: 2004-06-03 - Publisher: Springer Science & Business Media

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"A wonderful display of the use of mathematical probability to derive a large set of results from a small set of assumptions. In summary, this is a well-written