We address two important themes associated with institutions’ trading in foreign markets: (1) the choice of trading venues (between a company’s listing in its home market and that in the U.S. as an ADR); and (2) the comparison of trading costs across the two venues. To do so, we identify...

We address two important themes associated with institutions’ trading in foreign markets: (1) the choice of trading venues (between a company's listing in its home market and that in the United States as an American Depositary Receipt [ADR]) and (2) the comparison of trading costs across the...

We address two important themes associated with institutions’ trading in foreignmarkets: (1) the choice of trading venues (between a company’s listing in its home market and that in theUnited States as anAmerican Depositary Receipt [ADR]) and (2) the comparison of trading costs across the...

This study characterizes institutional trading in international stocks from 37 countries during 1997 to 1998 and 2001. We find that the underlying market condition is a major determinant of the price impact and, more importantly, of the asymmetry between price impacts of institutional buy and...

This study examines the impact of Regulation Fair Disclosure (FD) on liquidity, information asymmetry, and institutional and retail investors trading behavior. Our main findings suggest three conclusions. First, Regulation FD has been effective in improving liquidity and in decreasing the level...

This study employs Vector Error Correction Model (VECM), information share and conditional information share methods to investigate price discovery in SET50 Index (cash index), SET50 Index Futures (futures index) and ThaiDex SET50 (exchange traded fund). Our findings indicate that there exists a...

We study earnings management (EM) efforts surrounding seasoned bond offerings using discretionary current accruals. We find that issuers tend to inflate earnings performance prior to an offering. In order for EM efforts to effectively mislead ratings agencies and the bond market, they must lead...

This study utilizes an artificial neural network (ANN) approach to predict the performance of equity mutual funds that follow value, blend and growth investment styles. Using a multi-layer perceptron model and GRG2 nonlinear optimizer, fund-specific historical operating characteristics were used...