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The process , where is a real Brownian motion, is known as the geometric 2M-X Matsumoto–Yor process. Remarkably, it enjoys the Markov property. We provide a generalization of this process in the context of Jordan algebras, and we prove the Markov property for this generalization. Our Markov process occurs as a limit of discrete-time AX+B Markov chains on the cone of squares whose invariant probability measures classically yield a Dufresne-type identity for a perpetuity. In particular, the paper provides a generalization to any symmetric cone of the matrix–valued generalization of the Matsumoto–Yor process and Dufresne identity initially developed by Rider–Valkó.

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