Continuous-time stochastic control and optimization with financial applications

Stochastic optimization problems arise in decision-making problems under uncertainty, and find various applications in economics and finance. On the other hand, problems in finance have recently led to new developments in the theory of stochastic control. This volume provides a systematic treatment...

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Detaylı Bibliyografya
Yazar: Pham, Huyên, 1968-
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edisyon:1st ed. 2009.
Seri Bilgileri:Stochastic Modelling and Applied Probability 61
Online Erişim:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Not: Description d'après consultation du 30 mars 2012
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Continuous-time stochastic control and optimization with financial applications, Huyên Pham, Berlin, Springer, 2009, 1 vol. (XVII-232 p.), Stochastic modelling and applied probability, 3-540-89499-3
• Continuous-time Stochastic Control and Optimization with Financial Applications, Texte imprimé, 9783540895015
• Continuous-time Stochastic Control and Optimization with Financial Applications, Texte imprimé, 9783642100444
• Continuous-time stochastic control and optimization with financial applications, Huyên Pham, Berlin, Springer, 2009, 1 vol. (XVII-232 p.), Stochastic modelling and applied probability, 3-540-89499-3
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245 1 0 |a Continuous-time stochastic control and optimization with financial applications   |c by Huyên Pham. 
250 |a 1st ed. 2009. 
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500 |a Archives Springer e-books (Licence nationale) 
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505 1 |a Some elements of stochastic analysis Stochastic optimization problems. Examples in finance The classical PDE approach to dynamic programming The viscosity solutions approach to stochastic control problems Optimal switching and free boundary problems Backward stochastic differential equations and optimal control Martingale and convex duality methods 
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 Stochastic optimization problems arise in decision-making problems under uncertainty, and find various applications in economics and finance. On the other hand, problems in finance have recently led to new developments in the theory of stochastic control. This volume provides a systematic treatment of stochastic optimization problems applied to finance by presenting the different existing methods: dynamic programming, viscosity solutions, backward stochastic differential equations, and martingale duality methods. The theory is discussed in the context of recent developments in this field, with complete and detailed proofs, and is illustrated by means of concrete examples from the world of finance: portfolio allocation, option hedging, real options, optimal investment, etc. This book is directed towards graduate students and researchers in mathematical finance, and will also benefit applied mathematicians interested in financial applications and practitioners wishing to know more about the use of stochastic optimization methods in finance 
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776 0 |t Continuous-time Stochastic Control and Optimization with Financial Applications  |b Texte imprimé  |z 9783540895015 
776 0 |t Continuous-time Stochastic Control and Optimization with Financial Applications  |b Texte imprimé  |z 9783642100444 
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