We examine institutional investor demand for stocks that are categorized as mispriced according to twelve well-known pricing anomalies. We find that institutional demand during the year prior to anomaly portfolio formation is typically on the wrong side of the anomalies' implied mispricing. That...

The financial instability stemming from large volumes of simultaneous selling in the corporate bond market has been a topic of concern in recent years. Investors in this market care primarily about the downside risk of a firm given their concave payoff function, and this is precisely the...

We hypothesize that post-earnings-announcement drift (PEAD) is caused by underreaction of long-term investors since they do not pay much attention to short-term events. Consistent with the hypothesis, empirical observations show that stocks mostly held by long-term investors exhibit strong PEAD,...

This paper studies whether and why algorithmic traders exhibit one of the most broadlydocumented behavioral puzzles - the disposition effect. We use trade data from the NASDAQ Copenhagen Stock Exchange merged with the weather data. We find that on average, the disposition effect for human...

The paper analyses the effects of technology-based innovative techniques on Bulgarian capital market -algorithmic trading, in general, and high frequency trading (HFT), in particular - from macroeconomic costs-benefits perspective. Overwhelmingly, empirical studies emphasize that HFT improves...

Using trade-level data, we study whether brokers play a role in spreading order flow information. We focus on large portfolio liquidations, which result in temporary drops in stock prices, and identify the brokers that intermediate these trades. We show that these brokers' best clients tend to...

Mutual fund families are increasingly assigning traders to manage corporate bond mutual funds. Using this setting to study the role of traders in investment management, we document that trader managers identify and exploit short-term trading opportunities at lower transaction costs. These skills...

This paper addresses challenges relating to applying data mining techniques to detect stock price manipulations and extends previous results by incorporating the analysis of intraday trade prices in addition to closing prices for the investigation of trade-based manipulations. In particular,...

We perform an empirical study of a set of large institutional orders executed in the U.S. equity market. Our results validate the hidden order arbitrage theory proposed by Farmer et al. (2013) of the market impact of large institutional orders. We find that large trades are drawn from a...

PurposeThe main objective of this study is to obtain new empirical evidence about the connections between equity trading activity and five possible liquidity determinants: market capitalisation, dividend yield, earnings yield, company growth, and the distinction between recently-listed firms as...