华球城在线注册:2018-09-25
讲座时间:9月28日(周五)9:00-10:00
讲座地点:25教学楼A区3C教室
主讲人:王静
主讲人简介:
1111MicrosoftInternetExplorer402DocumentNotSpecified7.8 磅Normal0Jing Wang obtains her Ph.D. from School of Accounting and Finance at Hong Kong Polytechnic University and works as a Research Associate currently. Her research interests include capital markets research in accounting, financial reporting and corporate finance. Her research has been under reviewed at top-tier journal and reported by CFA institute. Several of her projects are supported by General Research Fund (GRF) in Hong Kong.
讲座内容:
1111MicrosoftInternetExplorer402DocumentNotSpecified7.8 磅Normal0Systematic volatility decreases when the general information environment improves. We theoretically demonstrate that if investors can learn firms’ future performances based on all of the noisy signals, systematic volatility would substantially decrease, even when incremental information for each firm is modest. Using China’s data, we empirically find that systematic volatility is lower in the earnings season, when information disclosure intensity dramatically increases, and this pattern is more pronounced for portfolios with small size and low book-to-market firms. Finally, we demonstrate that stock return synchronicity is also lower in the earnings season, which has important implications for the R-squared puzzle.
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