In this paper we study time-inhomogeneous affine processes beyond the common assumption of stochastic continuity. In this setting times of jumps can be both inaccessible and predictable. To this end we develop a general theory of finite dimensional affine semimartingales under very weak assumptions. We show that the corresponding semimartingale characteristics have affine form and that the conditional characteristic function can be represented with solutions to measure differential equations of Riccati type. We prove existence of affine semimartingales under mild conditions and elaborate on examples and applications including affine processes in discrete time.
Affine processes beyond stochastic continuity
Martin Keller-Ressel,Thorsten Schmidt,Robert Wardenga
Published 2018 in The Annals of Applied Probability
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- Publication year
2018
- Venue
The Annals of Applied Probability
- Publication date
2018-04-20
- Fields of study
Mathematics, Economics
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Semantic Scholar
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