On the Representation Property for 1D General Diffusion Semimartingales

Dedicated to A. N. Shiryaev on his 90th birthday A general diffusion semimartingale is a one-dimensional path-continuous semimartingale that is also a regular strong Markov process. We say that a continuous semimartingale has the representation property if all local martingales w.r.t. its canonical filtration have an integral representation w.r.t. its continuous local martingale part. The representation property is of fundamental interest in the field of mathematical finance, where it is strongly connected to market completeness. The main result from this paper shows that the representation property holds for a general diffusion semimartingale (that is not started in an absorbing boundary point) if and only if its scale function is (locally) absolutely continuous on the interior of the state space. As an application of our main theorem, we deduce that the laws of general diffusion semimartingales with such scale functions are extreme points of their semimartingale problems, and, moreover, we construct a general diffusion semimartingale whose law is no extreme point of its semimartingale problem. These observations contribute to a solution of problems posed by J. Jacod and M. Yor and D. W. Stroock and M. Yor, respectively, on the extremality of strong Markov solutions.

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Publication Details

Journal
Theory of Probability and Its Applications
Published
2025-02-01
DOI
https://doi.org/10.1137/s0040585x97t992148
Citations
1
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
2.21
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On the Representation Property for 1D General Diffusion Semimartingales

David Criens, Mikhail Urusov
1 citations
Theory of Probability and Its Applications
Stochastic processes and financial applications
2.21
article

On the Representation Property for 1D General Diffusion Semimartingales

David Criens, Mikhail Urusov
article en
1 citations

Abstract

Dedicated to A. N. Shiryaev on his 90th birthday A general diffusion semimartingale is a one-dimensional path-continuous semimartingale that is also a regular strong Markov process. We say that a continuous semimartingale has the representation property if all local martingales w.r.t. its canonical filtration have an integral representation w.r.t. its continuous local martingale part. The representation property is of fundamental interest in the field of mathematical finance, where it is strongly connected to market completeness. The main result from this paper shows that the representation property holds for a general diffusion semimartingale (that is not started in an absorbing boundary point) if and only if its scale function is (locally) absolutely continuous on the interior of the state space. As an application of our main theorem, we deduce that the laws of general diffusion semimartingales with such scale functions are extreme points of their semimartingale problems, and, moreover, we construct a general diffusion semimartingale whose law is no extreme point of its semimartingale problem. These observations contribute to a solution of problems posed by J. Jacod and M. Yor and D. W. Stroock and M. Yor, respectively, on the extremality of strong Markov solutions.

Theory of Probability and Its ApplicationsVol. 69(4)
Reduced inequalities
Openalex Percentile: Top 17%
Stochastic processes and financial applications
2.21
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