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Stochastic Processes and their Applications
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Stochastic Processes and their Applications
Article . 2011
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On strong solutions for positive definite jump diffusions

Authors: Mayerhofer, Eberhard; Pfaffel, Oliver; Stelzer, Robert;

On strong solutions for positive definite jump diffusions

Abstract

We show the existence of unique global strong solutions of a class of stochastic differential equations on the cone of symmetric positive definite matrices. Our result includes affine diffusion processes and therefore extends considerably the known statements concerning Wishart processes, which have recently been extensively employed in financial mathematics. Moreover, we consider stochastic differential equations where the diffusion coefficient is given by the alpha-th positive semidefinite power of the process itself with 0.5

version to appear in Stochastic Processes and Their Applications, 2011

Keywords

Statistics and Probability, stochastic differential equations on open sets, Affine diffusions, 60G51, 60H10, 60J60, 60J75, matrix subordinators, Processes with independent increments; Lévy processes, Stochastic differential equations on open sets, Modelling and Simulation, FOS: Mathematics, local martingales on stochastic intervals, Diffusion processes, Strong solutions, jump diffusion processes on positive definite matrices, Applied Mathematics, Probability (math.PR), Wishart processes, affine diffusions, Matrix subordinators, Stochastic ordinary differential equations (aspects of stochastic analysis), Jump diffusion processes on positive definite matrices, strong solutions, Jump processes, Mathematics - Probability, Local martingales on stochastic intervals

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
52
Top 10%
Top 10%
Top 10%
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