Numerical solution of stochastic differential equations with jumps in finance
In financial and actuarial modeling and other areas of application, stochastic differential equations with jumps have been employed to describe the dynamics of various state variables. The numerical solution of such equations is more complex than that of those only driven by Wiener processes, descri...
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| Auteurs principaux: | , |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Serier: | Stochastic Modelling and Applied Probability
64 |
| Fag: | |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Description d'après consultation du 2014-05-16 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Numerical solution of stochastic differential equations with jumps in finance, Eckhard Platen, Nicola Bruti-Liberati, Berlin, Springer, 2010, 1 vol. (XXVIII-856 p.), Stochastic modelling and applied probability, 978-3-642-12057-2 |
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| 100 | 1 | |a Platen, Eckhard, |d 1949- | |
| 245 | 1 | 0 | |a Numerical solution of stochastic differential equations with jumps in finance |c Eckhard Platen, Nicola Bruti-Liberati. |
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 1 | |a Stochastic Modelling and Applied Probability |v 64 |x 2197-439X | |
| 500 | |a Description d'après consultation du 2014-05-16 | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Stochastic Differential Equations with Jumps Exact Simulation of Solutions of SDEs Benchmark Approach to Finance and Insurance Stochastic Expansions to Scenario Simulation Regular Strong Taylor Approximations with Jumps Regular Strong Itô Approximations Jump-Adapted Strong Approximations Estimating Discretely Observed Diffusions Filtering Monte Carlo Simulation of SDEs Regular Weak Taylor Approximations Jump-Adapted Weak Approximations Numerical Stability Martingale Representations and Hedge Ratios Variance Reduction Techniques Trees and Markov Chain Approximations Solutions for Exercises. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a In financial and actuarial modeling and other areas of application, stochastic differential equations with jumps have been employed to describe the dynamics of various state variables. The numerical solution of such equations is more complex than that of those only driven by Wiener processes, described in Kloeden & Platen: Numerical Solution of Stochastic Differential Equations (1992). The present monograph builds on the above-mentioned work and provides an introduction to stochastic differential equations with jumps, in both theory and application, emphasizing the numerical methods needed to solve such equations. It presents many new results on higher-order methods for scenario and Monte Carlo simulation, including implicit, predictor corrector, extrapolation, Markov chain and variance reduction methods, stressing the importance of their numerical stability. Furthermore, it includes chapters on exact simulation, estimation and filtering. Besides serving as a basic text on quantitative methods, it offers ready access to a large number of potential research problems in an area that is widely applicable and rapidly expanding. Finance is chosen as the area of application because much of the recent research on stochastic numerical methods has been driven by challenges in quantitative finance. Moreover, the volume introduces readers to the modern benchmark approach that provides a general framework for modeling in finance and insurance beyond the standard risk-neutral approach. It requires undergraduate background in mathematical or quantitative methods, is accessible to a broad readership, including those who are only seeking numerical recipes, and includes exercises that help the reader develop a deeper understanding of the underlying mathematics. | ||
| 650 | |a Équations différentielles stochastiques | ||
| 650 | |a Probabilités | ||
| 700 | 1 | |a Bruti-Liberati, Nicola. |4 aut | |
| 700 | 1 | |a Bruti-Liberati, Nicola. |4 aut | |
| 776 | 0 | |0 150130791 |t Numerical solution of stochastic differential equations with jumps in finance |f Eckhard Platen, Nicola Bruti-Liberati |c Berlin |n Springer |d 2010 |p 1 vol. (XXVIII-856 p.) |s Stochastic modelling and applied probability |z 978-3-642-12057-2 | |
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| 997 | |0 943414 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||