A note on the Esscher transform of affine Markov processes
Eberhard Mayerhofer

TL;DR
This paper refines the understanding of affine Markov processes by characterizing their martingale property and non-explosion conditions through minimal solutions of Riccati equations, improving previous theoretical results.
Contribution
It provides the final enhancement of earlier results by precisely linking process properties to solutions of Riccati differential equations for affine models.
Findings
Martingale property characterized by minimal Riccati solutions
Non-explosion conditions linked to Riccati equation minimality
Improved theoretical framework for affine processes on canonical spaces
Abstract
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 final improvement of previous results by Duffie, Filipovic and Schachermayer (2003), Mayerhofer, Muhle-Karbe and Smirnov (2011) and Keller-Ressel and Mayerhofer (2015) for processes on canonical state spaces.
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Insurance, Mortality, Demography, Risk Management
