Estimation of the global regularity of a multifractional Brownian motion
Joachim Lebovits, Mark Podolskij

TL;DR
This paper introduces a novel estimator for the global regularity of multifractional Brownian motion, utilizing a ratio statistic based on quadratic variations at different frequencies, with proven convergence properties.
Contribution
It proposes a new ratio-based estimator for the global regularity index of multifractional Brownian motion, demonstrating its convergence under weak assumptions.
Findings
The estimator converges in probability to the global regularity index.
The method effectively compares quadratic variations at two frequencies.
It provides a practical approach for estimating regularity in multifractional processes.
Abstract
This paper presents a new estimator of the global regularity index of a multifractional Brownian motion. Our estimation method is based upon a ratio statistic, which compares the realized global quadratic variation of a multifractional Brownian motion at two different frequencies. We show that a logarithmic transformation of this statistic converges in probability to the minimum of the Hurst function, which is, under weak assumptions, identical to the global regularity index of the path.
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Taxonomy
TopicsFinancial Risk and Volatility Modeling · Complex Systems and Time Series Analysis · Stochastic processes and financial applications
