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Titlebook: Large Deviations and Asymptotic Methods in Finance; Peter K. Friz,Jim Gatheral,Josef Teichmann Conference proceedings 2015 Springer Intern

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發(fā)表于 2025-3-21 16:35:50 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Large Deviations and Asymptotic Methods in Finance
編輯Peter K. Friz,Jim Gatheral,Josef Teichmann
視頻videohttp://file.papertrans.cn/582/581327/581327.mp4
概述Is a unique comprehensive collection of asymptotic methods and mathematical tools that covers a wide range of topics.Provides interesting applications of large deviations, differential geometry, and s
叢書名稱Springer Proceedings in Mathematics & Statistics
圖書封面Titlebook: Large Deviations and Asymptotic Methods in Finance;  Peter K. Friz,Jim Gatheral,Josef Teichmann Conference proceedings 2015 Springer Intern
描述.Topics covered?in this volume?(large deviations, differential geometry, asymptotic expansions, central limit theorems) give a full picture of the?current advances in the application of asymptotic methods in mathematical finance, and thereby provide rigorous solutions to important mathematical and financial issues, such as implied volatility asymptotics, local volatility extrapolation, systemic risk and volatility estimation. This volume gathers together ground-breaking results in this field by some of its leading experts..Over the past decade, asymptotic methods have played an increasingly important role in the study of the behaviour of (financial) models. These methods provide a useful alternative to numerical methods in settings where the latter may lose accuracy (in extremes such as small and large strikes, and small maturities), and lead to a clearer understanding of the behaviour of models, and of the influence of parameters on this behaviour..Graduate students, researchers and practitioners will find this book very useful, and the diversity of topics will appeal to people from mathematical finance, probability theory and differential geometry..
出版日期Conference proceedings 2015
關(guān)鍵詞91G80, 60H30, 60F10, 91G20; asymptotic methods; implied volatility; large deviations; mathematical finan
版次1
doihttps://doi.org/10.1007/978-3-319-11605-1
isbn_softcover978-3-319-38512-9
isbn_ebook978-3-319-11605-1Series ISSN 2194-1009 Series E-ISSN 2194-1017
issn_series 2194-1009
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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發(fā)表于 2025-3-21 23:31:52 | 只看該作者
Asymptotic Implied Volatility at the Second Order with Application to the SABR Model,n. Beyond the order 0 implied volatility which is already known, we compute the first order correction exactly at all strikes from the scalar coefficient of the heat kernel expansion. Furthermore, the first correction in the heat kernel expansion gives the second order correction for implied volatil
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地板
發(fā)表于 2025-3-22 04:48:58 | 只看該作者
Second Order Expansion for Implied Volatility in Two Factor Local Stochastic Volatility Models and the short time asymptotics of the local volatility function in a family of time inhomogeneous local-stochastic volatility models. With the local volatility function at our disposal, we show how recent results (Gatheral et al., Math. Financ. 22:591–620, 2012, [.]) for one dimensional diffusions can
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Implied Volatility from Local Volatility: A Path Integral Approach,y in terms of a path integral then follows. By Taylor-expanding around a certain path, we obtain a generalization of the heat kernel expansion of the density which coincides with the classical one in the time-homogeneous case, but is more accurate and natural in the time inhomogeneous case. As a fur
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發(fā)表于 2025-3-23 01:49:14 | 只看該作者
,Extrapolation Analytics for Dupire’s Local Volatility,ses our approximation formula from a practical and numerical perspective, the present paper focuses on rigorous proofs of the approximations. We apply the saddle point method (Heston model) and Hankel contour integration (variance gamma model).
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發(fā)表于 2025-3-23 05:33:27 | 只看該作者
,The G?rtner-Ellis Theorem, Homogenization, and Affine Processes,a special family of functions having a similar Laplace principle expansion up?to order one to that of the original family of measures. The construction of the special family of functions mentioned above is based on heat kernel expansions. Some of the ideas employed in the paper come from the theory
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