title: Spectrum-based estimators of the bivariate Hurst exponent.
abstract: We discuss two alternate spectrum-based estimators of the bivariate Hurst exponent in the power-law cross-correlations setting, the cross-periodogram and local X-Whittle estimators, as generalizations of their univariate counterparts. As the spectrum-based estimators are dependent on a part of the spectrum taken into consideration during estimation, a simulation study showing performance of the estimators under varying bandwidth parameter as well as correlation between processes and their specification is provided as well. These estimators are less biased than the already existent averaged periodogram estimator, which, however, has slightly lower variance. The spectrum-based estimators can serve as a good complement to the popular time domain estimators.
authors.affiliation: Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Prague CZ-182 08, Czech Republic, and Institute of Economic Studies, Faculty of Social Sciences, Charles University in Prague, Prague CZ-110 00, Czech Republic.
authors.forename: Ladislav
authors.initials: L
authors.lastname: Kristoufek
mesh_terms: D008962:Models, Theoretical; D013057:Spectrum Analysis