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Dissecting Multifractal detrended cross-correlation analysis

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  • Borko Stosic
  • Tatijana Stosic

Abstract

In this work we address the question of the Multifractal detrended cross-correlation analysis method that has been subject to some controversies since its inception almost two decades ago. To this end we propose several new options to deal with negative cross-covariance among two time series, that may serve to construct a more robust view of the multifractal spectrum among the series. We compare these novel options with the proposals already existing in the literature, and we provide fast code in C, R and Python for both new and the already existing proposals. We test different algorithms on synthetic series with an exact analytical solution, as well as on daily price series of ethanol and sugar in Brazil from 2010 to 2023.

Suggested Citation

  • Borko Stosic & Tatijana Stosic, 2024. "Dissecting Multifractal detrended cross-correlation analysis," Papers 2406.19406, arXiv.org.
    • Handle: RePEc:arx:papers:2406.19406
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    References listed on IDEAS

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    6. Dusan Drabik & Harry De Gorter & David R. Just & Govinda R. Timilsina, 2015. "The Economics of Brazil’s Ethanol-Sugar Markets, Mandates, and Tax Exemptions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(5), pages 1433-1450.
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