Peacocks and Associated Martingales, with Explicit Constructions

Peacocks and Associated Martingales, with Explicit Constructions

by Hirsch, F.

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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 …

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Title Statements

  • Full title :Peacocks and Associated Martingales, with Explicit Constructions / by Francis Hirsch, Christophe Profeta, Bernard Roynette, Marc Yor.

Summary

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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Edition Statements

  • Publication Date:2011

Publication Statements

  • Publisher(s):Springer Milan
  • Place of Publication:Milano
  • Language:eng
  • Publication Date:2011

The Physical Object

  • Description:1 recurs en línia (1 recurs en línia (XXXII, 388 pàgines)).

Edition Identifiers

  • ISBN:9788847019089, 8847019087
  • oclc:on1120677741

Table of Contents

Conté: 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

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