Hurst exponent estimation based on Modified Aggregated Variance Method

Abstract

Hurst exponent is an important index to describe the fractional Brownian motion, many paper got the result based on big data sample. To small sample we designed a modified aggregated variance method to evaluate the Hurst exponent based on the aggregated variance method. We found that the new method could improve the R-squared when the sample data relatively small