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Quasi-Monte Carlo methods in finance : with application to optimal asset allocation /

Portfolio optimization is a widely studied problem in finance dating back to the work of Merton from the 1960s. While many approaches rely on dynamic programming, some recent contributions usemartingale techniques to determine the optimal portfolio allocation. Using the latter approach, we follow a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Rometsch, Mario
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hamburg : Diplom.de, 2008.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Quasi-Monte Carlo methods in finance :  |b with application to optimal asset allocation /  |c Mario Rometsch. 
260 |a Hamburg :  |b Diplom.de,  |c 2008. 
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500 |a Cover title. 
504 |a Includes bibliographical references. 
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505 0 |a Quasi-Monte Carlo Methods in Finance With Application to Optimal Asset Allocation; Abstract; Acknowledgment; Contents; List of Figures; Introduction; 1 Monte Carlo and quasi-Monte Carlomethods; 2 Malliavin Calculus; 3 Asset Allocation; 4 Implementation; Conclusion; Summary; Bibliography. 
520 |a Portfolio optimization is a widely studied problem in finance dating back to the work of Merton from the 1960s. While many approaches rely on dynamic programming, some recent contributions usemartingale techniques to determine the optimal portfolio allocation. Using the latter approach, we follow a journal article from 2003 and show how optimal portfolio weights can be represented in terms of conditional expectations of the state variables and their Malliavin derivatives. In contrast to other approaches, where Monte Carlo methods are used to compute the weights, here the simulation is carried. 
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650 0 |a Monte Carlo method  |x Finance. 
650 0 |a Asset allocation. 
650 6 |a Méthode de Monte-Carlo  |x Finances. 
650 6 |a Affectation de l'actif. 
650 7 |a SCIENCE  |x Essays.  |2 bisacsh 
650 7 |a SCIENCE  |x Reference.  |2 bisacsh 
650 7 |a Asset allocation  |2 fast 
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