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Unexpected Information Demand and Volatility Clustering of Chinese Stock Returns: Evidence from Baidu Index
Gang Chu1, Xiao Li2, Dehua Shen1
1College of Management and Economics, Tianjin University, Tianjin 300072, China.
Entropy (Basel, Switzerland)
|December 8, 2020
Abstract:
This paper employs the Baidu Index as the novel proxy for unexpected information demand and shows that this novel proxy can explain the volatility clustering of Chinese stock returns. Generally speaking, these findings suggest that investors in China could take advantage of the Baidu Index to obtain information and then improve their investment decision.
Keywords:
Baidu Indexgeneralized autoregressive conditional heteroscedasticity model (GARCH)information demandmixture of distribution hypothesisvolatility clusteringMore Related Videos
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