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    Longitudinal Cross-Temporal Dynamics in Foreign Exchange via Bayesian Multifractal Analysis


    11-09-2024

    H.Wendt , P. Abry, Y. Malevergne, M. Senneret, G. Perrin, S. Jaffard

    In this work, we aim to study the characteristics of the joint time dynamics of a basket of Foreign Exchange prices.

    Building on recent theoretical developments enabling multivariate multifractal analysis of short time series using Bayesian formalism, we carry out a longitudinal analysis of six series of Foreign Exchange Rates over a 17-year period, in 6-month rolling steps.

    The analyses confirm the market efficiency hypothesis (absence of temporal correlation), but also highlight a joint dependency structure of these six series in terms of joint occurrences of local statistical structures, which we can interpret as a joint inter-correlation of the volatilities associated with these rates.

    This suggests that the ForEx market is mainly governed by a single clock around the world.

    This paper was published in EUSIPCO 2024, 32nd European Signal Processing Conference.

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