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A characterization of mutual absolute continuity of probability measures on a filtered space

2024/11/27 by Mayer, Matthias Georg
Economics, Econometrics and Finance · #Stochastic processes and financial applications

paper · pdf · doi:10.48550/arxiv.2411.18555

Abstract

We give a new characterization for mutual absolute continuity of probability measures on a filtered space. For this, we introduce a martingale limit M that measures the similarity between the tails of the probability measures restricted to the filtration. The measures are mutually absolutely continuous if and only if M = 1 holds almost surely for both measures. In this case, the square roots of the Radon-Nikodym derivatives on the filtration converge in L2. Finally, we apply the result to families of random variables and stochastic processes.

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