Multifractal Analysis of COVID-19's Impact On China's Stock Market

Fractals ◽  
2021 ◽  
Author(s):  
Nan Xu ◽  
Songsong Li ◽  
Xiaofeng Hui
Entropy ◽  
2022 ◽  
Vol 24 (1) ◽  
pp. 130
Author(s):  
Michał Chorowski ◽  
Ryszard Kutner

Using the multiscale normalized partition function, we exploit the multifractal analysis based on directly measurable shares of companies in the market. We present evidence that markets of competing firms are multifractal/multiscale. We verified this by (i) using our model that described the critical properties of the company market and (ii) analyzing a real company market defined by the S&P500 index. As the valuable reference case, we considered a four-group market model that skillfully reconstructs this index’s empirical data. We point out that a four-group company market organization is universal because it can perfectly describe the essential features of the spectrum of dimensions, regardless of the analyzed series of shares. The apparent differences from the empirical data appear only at the level of subtle effects.


2019 ◽  
Vol 56 (2) ◽  
pp. 319-336 ◽  
Author(s):  
Yufang Liu ◽  
Weiguo Zhang ◽  
Junhui Fu ◽  
Xiang Wu

2010 ◽  
Vol 56 (3(1)) ◽  
pp. 982-985 ◽  
Author(s):  
Gabjin Oh ◽  
Seunghwan Kim ◽  
Cheoljun Eom

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Nan Xu ◽  
Songsong Li

Employing the tools of multifractal detrended cross-correlation analysis (MF-DCCA) and Diebold–Yilmaz spillover index (D.Y. spillover index), we examine the effect that the foreign investors have on the cross-correlations between the two-segment stock markets, that are the accessible and the inaccessible stock markets, and the other ten respective stock markets. The shares cross-listed by the same corporates on both the A-share and H-share stock markets of China serve as the best sample to compile the two stock indices, which stands for the inaccessible stock market (AHA) and the accessible stock market (AHH), respectively. Empirical results show that the cross-correlations between the two-segment stock markets and the other ten pairs are multifractal, the multifractal strength of cross-correlations is stronger in AHH than AHA, and the intensified growth of the multifractal cross-correlations in AHA can be seen as the increasing of the openness in the inaccessible market. The empirical result of D.Y. spillover index is consistent with the multifractal analysis above, and another interesting finding is that among the selected markets, the three markets with the strongest spillover effects with AHA and AHH are Taiwan, South Korea, and Singapore, respectively, and the weakest one is Australia during the sample scenarios.


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