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|a 9783031238703
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|a Larcher, Gerhard
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|a The Art of Quantitative Finance Vol.2
|h Elektronische Ressource
|b Volatilities, Stochastic Analysis and Valuation Tools
|c by Gerhard Larcher
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250 |
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|a 1st ed. 2023
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260 |
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|a Cham
|b Springer International Publishing
|c 2023, 2023
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300 |
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|a XII, 353 p. 188 illus., 183 illus. in color
|b online resource
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505 |
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|a 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
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653 |
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|a Risk Management
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653 |
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|a Mathematics in Business, Economics and Finance
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653 |
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|a Capital market
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653 |
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|a Financial engineering
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653 |
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|a Financial risk management
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653 |
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|a Financial Engineering
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653 |
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|a Social sciences—Mathematics
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653 |
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|a Capital Markets
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041 |
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7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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490 |
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|a Springer Texts in Business and Economics
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028 |
5 |
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|a 10.1007/978-3-031-23870-3
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856 |
4 |
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|u https://doi.org/10.1007/978-3-031-23870-3?nosfx=y
|x Verlag
|3 Volltext
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|a 332
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|a 658.15
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520 |
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|a 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
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