Complexity / 2020 / Article / Tab 1

Research Article

Quantifying the Cross-Correlations between Online Market Participation Willingness and Stock Market Dynamics

Table 1

Summary statistics.

MeanStd. dev.Skew.Kurt.MaxMin

(A) Yu’e Bao Sentiment Index
1033.156290.0281.5557.5052743.41415.1
0.007540.04571.1697.0641.284−0.563

(B) Chinese stock market return
SSE500.0002660.00709−0.83910.3360.0328−0.0428
CSI3000.0002610.00691−1.18910.0620.0282−0.0398
SME0.0002110.00789−1.0427.5070.0287−0.0382
GEM0.0001650.00934−0.6695.8350.0301−0.0405

(C) Chinese stock market trade volume
SSE500.03390.4611.5216.3152.528−0.752
CSI3000.02540.3511.1895.2571.968−0.705
SME0.02220.2190.4073.4620.931−0.758
GEM0.03580.2320.4483.3430.819−0.767

(D) Chinese stock market volatility
SSE500.0002760.0003622.5069.9990.002210.0000259
CSI3000.0002610.0003432.4419.2400.001950.0000249
SME0.0003210.0003311.8195.4890.001520.0000605
GEM0.00045020.0004391.6594.9280.002040.0000908

This table reports the mean, standard deviation (Std. dev.), skewness (Skew.), kurtosis (Kurt.), minimum (Min), and maximum (Max) of Yu’e Bao Sentiment Index ( and ), the return, volume, and volatility for four stock market indices: SSE50, CSI300, SME, and GEM. The sample period extends from May 5, 2014, through May 10, 2018.

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