Can the bivariate Hurst exponent be higher than an average of the separate Hurst exponents?
arXiv:1501.02947 · doi:10.1016/j.physa.2015.02.086
Abstract
In this note, we investigate possible relationships between the bivariate Hurst exponent and an average of the separate Hurst exponents . We show that two cases are well theoretically founded. These are the cases when and . However, we show that the case of is not possible regardless of stationarity issues. Further discussion of the implications is provided as well together with a note on the finite sample effect.
9 pages
References in corpus (5)
- Detrended Cross-Correlation Analysis: A New Method for Analyzing Two Non-stationary Time Series
- Multifractal detrended cross-correlation analysis for two nonstationary signals
- Cross-correlations between volume change and price change
- On the interplay between short and long term memory in the power-law cross-correlations setting
- Multiple local whittle estimation in stationary systems
Cited by in corpus (12)
- Multifractal analysis of financial markets
- Multiscale characteristics of the emerging global cryptocurrency market
- Multifractal cross-correlations between the World Oil and other Financial Markets in 2012-2017
- Joint multifractal analysis based on the partition function approach: Analytical analysis, numerical simulation and empirical application
- Exploring asymmetric multifractal cross-correlations of price-volatility and asymmetric volatility dynamics in cryptocurrency markets
- Assessment of 48 Stock markets using adaptive multifractal approach
- Multivariate Hadamard self-similarity: testing fractal connectivity
- Fractal approach towards power-law coherency to measure cross-correlations between time series
- Power-law cross-correlations estimation under heavy tails
- Multifractal Analysis of Pulsar Timing Residuals: Assessment of Gravitational Wave Detection
- Multifractal cross-correlation effects in two-variable time series of complex network vertex observables
- Wavelet eigenvalue regression for -variate operator fractional Brownian motion