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Dynamic Copula Methods in Finance
Dynamic Copula Methods in Finance
260,27 €
289,19 €
  • Mēs nosūtīsim 10-14 darba dienu laikā.
The latest tools and techniques for pricing and risk managementThis 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 dyn…
260.27 2025-06-02 08:00:00
  • Autors: Umberto Cherubini
  • Izdevējs
  • ISBN-10 : 0470683074
  • ISBN-13 : 9780470683071
  • Formāts: 17 x 24.4 x 2.3 cm, kieti viršeliai
  • Valoda: Anglų
  • Extra -10% atlaide, ievadot kodu: EXTRA7d.02:41:16

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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.

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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.

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