On the interplay between multiscaling and stocks dependence
arXiv:1802.01113
Abstract
We find a nonlinear dependence between an indicator of the degree of multiscaling of log-price time series of a stock and the average correlation of the stock with respect to the other stocks traded in the same market. This result is a robust stylized fact holding for different financial markets. We investigate this result conditional on the stocks' capitalization and on the kurtosis of stocks' log-returns in order to search for possible confounding effects. We show that a linear dependence with the logarithm of the capitalization and the logarithm of kurtosis does not explain the observed stylized fact, which we interpret as being originated from a deeper relationship.
arXiv comment19 pages, 8 figures, 9 tables
References in corpus (7)
- Multifractal detrended cross-correlation analysis for two nonstationary signals
- A multifractal random walk
- Detrending moving average algorithm for multifractals
- Multifractal analysis of financial markets
- The components of empirical multifractality in financial returns
- Emergence of time-horizon invariant correlation structure in financial returns by subtraction of the market mode
- Applications of physical methods in high-frequency futures markets