This study shows that trading causes friction in the market. However, when the market opens, trading of individuals removes market friction, while that of institutional trading does not. The situation during the rest of the day is just the opposite. The uneven behavior of trading noise across...

In this study, we analyze investor trading behavior based not on information-related assumptions but on the search model of Vayanos and Wang (2007). Our study shows that search cost dictates trading polarization across investors, firm size, and time of day. We find that individual investors...

Estimation of benchmark yield curve in developing markets is often influenced by liquidity concentration. Based on an affine term structure model, we develop a long run liquidity weighted fitting method to address the trading concentration phenomenon arising from horizon-induced clientele...

In this study, we employ a statistical arbitrage approach to demonstrate that momentum strategies work only in longer formation and holding periods, a result more conclusive than standard parametric tests can offer. Disposition and overconfidence effects are important factors contributing to the...

This paper investigates the role of liquidity provisions played by individual investors prior to dividend announcements in Taiwan. We first document a positive relationship between aggregate individual trading before dividend announcements and abnormal stock returns in the one month after the...

We explore in this paper how trading noise, when considered as a market friction, reacts to trading activity. Transactions cost is a good explanation for intraday trading behavior in the market according to our data. Particularly, we show that in general trading brings friction to market....

Information asymmetry and liquidity concentration has been widely discussed in literatures. This study shows how liquidity influences not only forecasting performances of term structure estimation, but also information transmission and price adjustment across markets. Our analysis helps...

We analyze in this study investor trading behavior based not on information related assumptions but on the search model of Vayanos and Wang (2007). Our study shows that search cost dictates trading polarization across investors, firm size and time of day. We find that individual investors prefer...

We analyze in this study what could have caused herding in the stock market. Information cascades have often been considered as a major cause. However, we present in this study evidences inconsistent with that hypothesis. Our analysis is in support of an alternative theory based on search cost...