This study modifies the cross-sectional absolute deviation of returns (CSAD) of Chang, Cheng and Khorana's (2000) by adding trading volume variable and find significant evidence of herding in the Hong Kong stock market using daily data. Specifically, higher trading volume induces more herding....

This paper studies investors herd behavior on firms cross-listed in markets with different legislative regimes and levels of sophistication and yet within the same country. In addition to evidence of herding in each of China's Shanghai, Shenzhen and Hong Kong markets, our finding suggests cross...

Companies are cross-listed on multiple exchanges in different countries to take advantage of different market features. Due to difference in time zones, it is normally quite impossible to take advantage of instantaneous information spillover from market to market to generate abnormal return....

Purpose– Motivated by the unique characteristics and profit generating nature of real estate investments, this paper aims to study if investors herd differently in corresponding securities versus other non‐real estate securities.Design/methodology/approach– The authors choose the Hong Kong...

This paper expands on the existing literature on information asymmetry by testing if herding exists. We test herd behavior in a transparent and order-driven market using intraday data. We propose (1) a modification in the herding measure, (2) that investors tend to herd more based on fundamental...