The distributions of many financial quantities are well-known to have heavy tails, exhibit skewness. We study an especially promising family: multivariate generalized hyperbolic distributions(GH). This family includes Gaussian and Student t distributions, and the so-called skewed t distributions. We describe a way to stably calibrate GH distributions for a wider range of parameters than has previously been reported. We apply GH distributions in three financial applications. First, we forecast the VaR for stock index returns, and show that the GH distributions outperform the Gaussian distribution. Second, we calculate an efficient frontier for equity portfolio optimization under the skewed-t distribution and we show that the Gaussian efficient frontier is actually unreachable. Third, we build an intensity-based model to price Basket Credit Default Swaps by calibrating the skewed t distribution directly, without the need to separately calibrate the skewed t copula. This book is useful to academic research of GH distributions for both theory and calibration. It is also useful to quantitative finance analysts and numeric algorithm developers.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Wenbo Hu is a director of quantitative trading at Bell Trading in Chicago. Dr. Hu obtained a master of financial mathematics from Peking University in 2001 and a PhD in Financial Mathematics from Florida State University in 2005. Since then, he has been working for Bell Trading to develop futures and options black box trading system.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hu WenboWenbo Hu is a director of quantitative trading at Bell Trading innChicago. Dr. Hu obtained a master of financial mathematics fromnPeking University in 2001 and a PhD in Financial Mathematics fromnFlorida State University in . N° de réf. du vendeur 4959573
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The distributions of many financial quantities arewell-known to have heavy tails, exhibit skewness. We study an especially promising family: multivariate generalized hyperbolic distributions(GH). This family includes Gaussian and Student t distributions, and the so-called skewed t distributions. We describe a way to stably calibrate GH distributions for a wider range ofparameters than has previously been reported. We apply GH distributions in three financialapplications. First, we forecast the VaR for stockindex returns, and show that the GH distributionsoutperform the Gaussian distribution. Second, wecalculate an efficient frontier for equity portfoliooptimization under the skewed-t distribution and weshow that the Gaussian efficient frontier is actuallyunreachable. Third, we build an intensity-based modelto price Basket Credit Default Swaps by calibratingthe skewed t distribution directly, without the needto separately calibrate the skewed t copula.This book is useful to academic research of GHdistributions for both theory and calibration. It isalso useful to quantitative finance analysts andnumeric algorithm developers. N° de réf. du vendeur 9783639123609
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Taschenbuch. Etat : Neu. Calibration of Multivariate Generalized Hyperbolic Distributions | Applications in Risk Management, Portfolio optimization, and Portfolio Credit Risk | Wenbo Hu | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639123609 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 101661675
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Paperback. Etat : Brand New. 116 pages. 8.66x5.91x0.28 inches. In Stock. This item is printed on demand. N° de réf. du vendeur 3639123603
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