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110215s2012||||enk o ||1 0|eng|d |
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|a 9781139017367 (ebook)
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|z 9781107002647 (hardback)
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|z 9780521175739 (paperback)
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|a UkCbUP
|b eng
|c UkCbUP
|e rda
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|a HG106
|b .C364 2012
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|a 332.01/51922
|2 23
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1 |
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|a Capi¿ski, Marek,
|e author.
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|a Stochastic Calculus for Finance /
|c Marek Capi¿ski, Ekkehard Kopp, Janusz Traple.
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264 |
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1 |
|a Cambridge :
|b Cambridge University Press,
|c 2012.
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300 |
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|a 1 online resource (186 pages) :
|b digital, PDF file(s).
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336 |
# |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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490 |
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|a Mastering Mathematical Finance
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|a Title from publisher's bibliographic system (viewed on 13 Apr 2016).
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520 |
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|a This book focuses specifically on the key results in stochastic processes that have become essential for finance practitioners to understand. The authors study the Wiener process and It©þ integrals in some detail, with a focus on results needed for the BlackÌÌ"-Ì"-¿ <U+001c>Scholes option pricing model. After developing the required martingale properties of this process, the construction of the integral and the It©þ formula (proved in detail) become the centrepiece, both for theory and applications, and to provide concrete examples of stochastic differential equations used in finance. Finally, proofs of the existence, uniqueness and the Markov property of solutions of (general) stochastic equations complete the book. Using careful exposition and detailed proofs, this book is a far more accessible introduction to It©þ calculus than most texts. Students, practitioners and researchers will benefit from its rigorous, but unfussy, approach to technical issues. Solutions to the exercises are available online.
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650 |
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0 |
|a Stochastic processes
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700 |
1 |
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|a Kopp, Ekkehard,
|e author.
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700 |
1 |
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|a Traple, Janusz,
|e author.
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776 |
0 |
8 |
|i Print version:
|z 9781107002647
|
830 |
# |
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|a Mastering Mathematical Finance.
|
856 |
4 |
0 |
|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1017/CBO9781139017367
|z View fulltext via EzAccess
|