Stationary max-stable processes with the Markov property
Cl\'ement Dombry (LMA-Poitiers), Fr\'ed\'eric Eyi-Minko (LMA-Poitiers)

TL;DR
This paper characterizes stationary max-stable processes with the Markov property, showing they are equivalent to max-autoregressive processes of order 1, up to time reversal, in both discrete and continuous time.
Contribution
It establishes a complete classification of stationary max-stable Markov processes as max-autoregressive of order 1, extending the understanding of their structure.
Findings
Max-stable Markov processes are equivalent to max-autoregressive processes of order 1.
The classification holds for both discrete and continuous time processes.
The results include a time reversal symmetry in the process class.
Abstract
We prove that the class of discrete time stationary max-stable process satisfying the Markov property is equal, up to time reversal, to the class of stationary max-autoregressive processes of order . A similar statement is also proved for continuous time processes.
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Mathematical Dynamics and Fractals
