Peacocks and Associated Martingales, with Explicit Constructions [electronic resource] /
Hirsch, Francis.author.
Profeta, Christophe.author.
Roynette, Bernard.author.
Yor, Marc.author.
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.
Description based upon print version of record.
Includes bibliographical references and index.
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.
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.
Probabilities.
Economics, Mathematical .
Probability Theory and Stochastic Processes.
Quantitative Finance.
Bocconi & Springer Series