Abstract
In this paper, the long-range cross-correlation of Chinese stock indices is systematically studied. The multifractal detrended cross-correlation analysis (MF-DXA) appears to be one of the most effective methods in detecting long-range cross-correlation of two non-stationary variables. The Legendre spectrum and the large deviations spectrum are extended to the cross-correlation case, so as to present multifractal structure of stock return and volatility series. It is characterized of the multifractality in Chinese stock markets, partly due to clusters of local detrended covariance with large and small magnitudes.
Original language | English |
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Pages (from-to) | 84-92 |
Number of pages | 9 |
Journal | Physica A: Statistical Mechanics and its Applications |
Volume | 402 |
DOIs | |
Publication status | Published - 15 May 2014 |
Externally published | Yes |
Keywords
- Chinese stock index
- Cross-correlation
- Large deviations spectrum
- Legendre spectrum
- MF-DXA