Baidu news information flow and return volatility: Evidence for the Sequential Information Arrival Hypothesis

C-Tier
Journal: Economic Modeling
Year: 2018
Volume: 69
Issue: C
Pages: 127-133

Authors (3)

Shen, Dehua (Nankai University) Li, Xiao (not in RePEc) Zhang, Wei (not in RePEc)

Score contribution per author:

0.335 = (α=2.01 / 3 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper employs Baidu News as the proxy for information flow and investigates competing hypotheses on the relationships between information flow and return volatility in Chinese stock market. The empirical results show that: (1) trading volume and return volatility are not driven by the same variable, i.e., the information flow, and thus contradicts the predication of the Mixture of Distribution Hypothesis (MDH); (2) there exist significant lead-lag relationships between information flow and return volatility, which is in accordance with the Sequential Information Arrival Hypothesis (SIAH); (3) these findings are robust to alternative measurement of return volatility and subsample analysis. Generally speaking, these findings contradict the prediction of MDH and support the SIAH.

Technical Details

RePEc Handle
repec:eee:ecmode:v:69:y:2018:i:c:p:127-133
Journal Field
General
Author Count
3
Added to Database
2026-01-29