Prior studies have reported a positive correlation between insider trading and stock price changes. The implication of these studies is that insider (i.e., informed) trades have a differential impact on price discovery than non-insider (i.e., uninformed) trades. Based on these results, various...

Using an audit trail transaction data set compiled by the Commodity Futures Trading Commission (CFTC), we seek to ascertain directly the motives behind dual traders’ own account trading and whether or not they are informed traders. We estimate our system of equations on each of the 101 most...

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...

Using high-frequency data and a carefully constructed 1-1 matched sample of control (non-decimal) stocks, we isolate the effects of decimalization for a sample of NYSE-listed common stocks trading in decimals. We find that both quoted and effective bid-ask spreads and depths have declined...

The goal of this paper is to investigate the interaction between social ties and deceptive behavior within an experimental setting. To do so, we implement a modified sender-receiver game in which a sender obtains a private signal regarding the value of a state variable and sends a message...

We use a unique firm-level survey database compiled by the World Bank to examine the drivers of discouraged small businesses in various developing economies around the world. We confirm that older and larger firms are less likely to be discouraged and that the level of competition and the...

We investigate whether busy boards add more value to standalone firms compared to business group affiliated firms in India – an economy plagued with significant institutional voids. Using board composition data of the top 500 Indian firms spanning the period 2003 to 2006, we find that firm...

This paper proposes a novel application of text categorization for two types questions asked in a micro-blogging supported classroom, namely relevant and irrelevant questions. Empirical results and analysis show that utilizing the correlation between questions and available lecture materials in...