Asquith, Oman, and Safaya (2010) conclude that short sales are often misclassified by the Lee-Ready algorithm. The algorithm identifies most short sales as buyer-initiated, whereas the authors posit that short sales should be overwhelmingly seller-initiated. Using order data to identify true...

Using a database of daily institutional trades, we document that a majority of short-term institutional trades lose money. In aggregate, over 23% of round-trip trades are held for less than three months, and the returns on these trades average -3.91% (non-annualized). These losses are pervasive...

We propose a parsimonious metric – the Adjusted Benford score (AB-score) – to improve the detection of financial misstatements. Based on Benford's Law, which predicts the leading-digit distribution of naturally occurring numbers, the AB-score estimates a firm-year's likelihood of financial...

A stream of literature shows that human attention constraints affect asset pricing in predictable ways. When traders are distracted, stock prices tend to initially underreact to earnings news and then gradually incorporate the news over subsequent weeks. In modern markets, however, the majority...

We identify a new channel – market makers' attention constraints – through which earnings announcements for one stock affect the liquidity of other stocks. When some stocks handled by a designated market maker have earnings announcements, liquidity is lower for non-announcement stocks...