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Peacocks and Associated Martingales, with Explicit Constructions

We call peacock an integrable process which is increasing in the convex order; such a notion plays an important role in Mathematical Finance. A deep theorem due to Kellerer states that a process is a peacock if and only if it has the same one-dimensional marginals as a martingale. Such a martingale...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Hirsch, Francis (Autor), Profeta, Christophe (Autor), Roynette, Bernard (Autor), Yor, Marc (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Milano : Springer Milan : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Bocconi & Springer Series, Mathematics, Statistics, Finance and Economics,
Temas:
Acceso en línea:Texto Completo

MARC

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505 0 |a Some Examples of Peacocks -- The Sheet Method -- The Time Reversal Method -- The Time Inversion Method -- The Sato Process Method -- The Stochastic Differential Equation Method -- The Skorokhod Embedding (SE) Method. Comparison of Multidimensional Marginals. 
520 |a We call peacock an integrable process which is increasing in the convex order; such a notion plays an important role in Mathematical Finance. A deep theorem due to Kellerer states that a process is a peacock if and only if it has the same one-dimensional marginals as a martingale. Such a martingale is then said to be associated to this peacock. In this monograph, we exhibit numerous examples of peacocks and associated martingales with the help of different methods: construction of sheets, time reversal, time inversion, self-decomposability, SDE, Skorokhod embeddings... They are developed in eight chapters, with about a hundred of exercises. 
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