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The Art of Quantitative Finance Vol.2 : Volatilities, Stochastic Analysis and Valuation Tools / by Gerhard Larcher
(Springer Texts in Business and Economics. ISSN:21924341)

Publisher (Cham : Springer International Publishing : Imprint: Springer)
Year 2023
Edition 1st ed. 2023.
Authors *Larcher, Gerhard author
SpringerLink (Online service)

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OB00193011 Springer Economics and Finance eBooks (電子ブック) 9783031238703

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Material Type E-Book
Media type 機械可読データファイル
Size XII, 353 p. 188 illus., 183 illus. in color : online resource
Notes Volatilities -- Extensions of the Black-Scholes theory to other types of options (futures options, currency options, American options, path-dependent options, multi-asset options) -- Fundamentals: stochastic analysis and applications, interest rate dynamics, and basic principles of pricing interest rate derivatives
This textbook provides the necessary techniques from financial mathematics and stochastic analysis for the valuation of more complex financial products and strategies. The author discusses how to make use of mathematical methods to analyse volatilities in capital markets. Furthermore, he illustrates how to apply and extend the Black-Scholes theory to several fields in finance. In the final section of the book, the author introduces the readers to the fundamentals of stochastic analysis and presents examples of applications. This book builds on the previous volume of the author’s trilogy on quantitative finance. The aim of the second volume is to present and discuss more complex and advanced techniques of modern financial mathematics in a way that is intuitive and easy to follow. As in the previous volume, the author provides financial mathematicians with insights into practical requirements when applying financial mathematical techniques in the real world
HTTP:URL=https://doi.org/10.1007/978-3-031-23870-3
Subjects LCSH:Financial engineering
LCSH:Capital market
LCSH:Social sciences—Mathematics
LCSH:Financial risk management
FREE:Financial Engineering
FREE:Capital Markets
FREE:Mathematics in Business, Economics and Finance
FREE:Risk Management
Classification LCC:HG176.7
DC23:332
DC23:658.15
ID 8000092162
ISBN 9783031238703

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