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Dynamic Copula Methods in Finance. ファイナンスにおける動学的コピュラ方法
・ISBN 978-0-470-68307-1 2012 hard US$ 133.00
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電子版あり 大学・学術機関向け電子ブック（eBook）ISBN 978-1-118-46740-4
| 著者・編者 | Cherubini, Umberto / Gobbi, F. / Mulinacci, S. et al., |
|---|---|
| シリーズ | Wiley Finance Series |
| 出版社 | (Wiley, US) |
| ページ数 | 274 pp. |
| 言語 | ENG |
| ニュース番号 | ＜588-436＞ |
解説
The latest tools and techniques for pricing and risk management
This book introduces readers to the use of copula functions to represent the dynamics of financial assets and risk factors, integrated temporal and cross-section applications. The first part of the book will briefly introduce the standard the theory of copula functions, before examining the link between copulas and Markov processes. It will then introduce new techniques to design Markov processes that are suited to represent the dynamics of market risk factors and their co-movement, providing techniques to both estimate and simulate such dynamics. The second part of the book will show readers how to apply these methods to the evaluation of pricing of multivariate derivative contracts in the equity and credit markets. It will then move on to explore the applications of joint temporal and cross-section aggregation to the problem of risk integration.
This book introduces readers to the use of copula functions to represent the dynamics of financial assets and risk factors, integrated temporal and cross-section applications. The first part of the book will briefly introduce the standard the theory of copula functions, before examining the link between copulas and Markov processes. It will then introduce new techniques to design Markov processes that are suited to represent the dynamics of market risk factors and their co-movement, providing techniques to both estimate and simulate such dynamics. The second part of the book will show readers how to apply these methods to the evaluation of pricing of multivariate derivative contracts in the equity and credit markets. It will then move on to explore the applications of joint temporal and cross-section aggregation to the problem of risk integration.