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Related papers: Affine Diffusion Processes: Theory and Application…

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Multidimensional affine diffusions have been studied in detail for the case of a canonical state space. We present results for general state spaces and provide a complete characterization of all possible affine diffusions with polyhedral…

Probability · Mathematics 2010-05-10 Peter Spreij , Enno Veerman

In this paper, sufficient conditions are given for the existence of limiting distribution of a conservative affine process on the canonical state space $\mathbb{R}_{\geqslant0}^{m}\times\mathbb{R}^{n}$, where $m,\thinspace…

Probability · Mathematics 2018-12-14 Peng Jin , Jonas Kremer , Barbara Rüdiger

We establish existence of exponential moments and the validity of the affine transform formula for affine jump-diffusions with a general closed convex state space. This extends known results for affine jump-diffusions with a canonical state…

Probability · Mathematics 2010-10-13 Peter Spreij , Enno Veerman

The goal of this article is to investigate infinite dimensional affine diffusion processes on the canonical state space. This includes a derivation of the corresponding system of Riccati differential equations and an existence proof for…

Probability · Mathematics 2025-11-21 Thorsten Schmidt , Stefan Tappe , Weijun Yu

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…

Probability · Mathematics 2018-12-21 Martin Keller-Ressel , Thorsten Schmidt , Robert Wardenga

In this paper we study the transition density and exponential ergodicity in total variation for an affine process on the canonical state space $\mathbb{R}_{\geq0}^{m}\times\mathbb{R}^{n}$. Under a H\"ormander-type condition for diffusion…

Probability · Mathematics 2020-06-18 Martin Friesen , Peng Jin , Jonas Kremer , Barbara Rüdiger

This thesis is devoted to the study of affine processes and their applications in financial mathematics. In the first part we consider the theory of time-inhomogeneous affine processes on general state spaces. We present a concise setup for…

Pricing of Securities · Quantitative Finance 2015-12-11 Stefan Waldenberger

We put forward a complete theory on moment explosion for fairly general state-spaces. This includes a characterization of the validity of the affine transform formula in terms of minimal solutions of a system of generalized Riccati…

Probability · Mathematics 2016-01-07 Eberhard Mayerhofer

We provide a new proof for regularity of affine processes on general state spaces by methods from the theory of Markovian semimartingales. On the way to this result we also show that the definition of an affine process, namely as…

Probability · Mathematics 2013-01-17 Christa Cuchiero , Josef Teichmann

In affine models, both the martingale property of stochastic exponentials and non-explosion of affine processes is characterized in terms of minimality of solutions to a system of generalized Riccati differential equations. This is the…

Probability · Mathematics 2016-09-12 Eberhard Mayerhofer

This paper considers multi-dimensional affine processes with continuous sample paths. By analyzing the Riccati system, which is associated with affine processes via the transform formula, we fully characterize the regions of exponents in…

Pricing of Securities · Quantitative Finance 2012-05-16 Rudra P. Jena , Kyoung-Kuk Kim , Hao Xing

We introduce closed-form transition density expansions for multivariate affine jump-diffusion processes. The expansions rely on a general approximation theory which we develop in weighted Hilbert spaces for random variables which possess…

Statistics Theory · Mathematics 2016-01-07 Damir Filipović , Eberhard Mayerhofer , Paul Schneider

This article provides the mathematical foundation for stochastically continuous affine processes on the cone of positive semidefinite symmetric matrices. This analysis has been motivated by a large and growing use of matrix-valued affine…

Probability · Mathematics 2011-04-12 Christa Cuchiero , Damir Filipović , Eberhard Mayerhofer , Josef Teichmann

We show that stochastically continuous, time-homogeneous affine processes on the canonical state space $\Rplus^m \times \RR^n$ are always regular. In the paper of \citet{Duffie2003} regularity was used as a crucial basic assumption. It was…

Probability · Mathematics 2010-02-12 Martin Keller-Ressel , Walter Schachermayer , Josef Teichmann

We introduce a class of Markov processes, called $m$-polynomial, for which the calculation of (mixed) moments up to order $m$ only requires the computation of matrix exponentials. This class contains affine processes, processes with…

Probability · Mathematics 2012-03-22 Christa Cuchiero , Martin Keller-Ressel , Josef Teichmann

The behavior of affine processes, which are ubiquitous in a wide range of applications, depends crucially on the choice of state space. We study the case where the state space is compact, and prove in particular that (i) no diffusion is…

Probability · Mathematics 2018-03-13 Paul Krühner , Martin Larsson

We investigate the maximal domain of the moment generating function of affine processes in the sense of Duffie, Filipovi\'{c} and Schachermayer [Ann. Appl. Probab. 13 (2003) 984-1053], and we show the validity of the affine transform…

Probability · Mathematics 2015-03-13 Martin Keller-Ressel , Eberhard Mayerhofer

We study a class of Markov processes with finite state space and continuous time that have product form stationary distributions. We obtain a number of examples that can generate conjectures for diffusions with inert drift.

Probability · Mathematics 2008-10-19 Krzysztof Burdzy , David White

We consider a class of asset pricing models, where the risk-neutral joint process of log-price and its stochastic variance is an affine process in the sense of Duffie, Filipovic and Schachermayer [2003]. First we obtain conditions for the…

Pricing of Securities · Quantitative Finance 2008-12-02 Martin Keller-Ressel

We study Markov-modulated affine processes (abbreviated MMAPs), a class of Markov processes that are created from affine processes by allowing some of their coefficients to be a function of an exogenous Markov process. MMAPs allow for…

Probability · Mathematics 2022-09-13 Kevin Kurt , Rüdiger Frey
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