Modified multifractal large deviation spectrum based on CID for financial market system

摘要

We modify the basic roughness grain exponent, only available for application of one single series, to complexity-invariant distance (CID) for studying multifractal features between two time series. CID is taken into consideration as a new roughness grain exponent with the large deviation spectrum to detect the similarity and correlation between different stock markets in this work.