The recent crisis has demonstrated the close linkages between various asset classes within a country as well as the association between assets internationally. The aim of this research is to provide for a better understanding of some of these linkages by conducting an empirical investigation of...

During the ongoing COVID-19 pandemic in the US, there has been considerable media attention regarding several US legislators who traded stocks in late January through February 2020. The concern is that these legislators traded in anticipation of COVID-19 having a major impact on the financial...

Prior studies find broad-based support for the efficacy of trading strategies based on momentum in stock returns. More recent studies, however, note a declining benefit relative to that identified in seminal studies on momentum. These recent studies, however, primarily examine time periods...

We investigate the price dynamics of large market-capitalization U.S. equity exchange-traded funds (ETFs) in order to uncover trader motivations and strategy. We show that prices of highly liquid ETFs can deviate significantly from their daily net asset values. By adjusting for changes in...

Crowded trades by similarly trading peers influence the dynamics of asset prices, possibly creating systemic risk. We propose a market clustering measure using granular trading data. For each stock the clustering measure captures the degree of trading overlap among any two investors in that...

We implement a novel approach to derive investor sentiment from messages posted on social media before we explore the relation between online investor sentiment and intraday stock returns. Using an extensive dataset of messages posted on the microblogging platform StockTwits, we construct a...

External finance is central for nascent entrepreneurs, people in the process of starting new ventures. We argue that nascent entrepreneurs use patents and prototypes in order to signal their ability to appropriate the returns from their innovation as well as the projectś feasibility. Our...

We cross-sectionally analyze the presence of aggregated hidden depth and trade volume in the S&P 500 and identify its key determinants. We find that the spread is the main predictor for a stock's hidden dimension, both in terms of traded and posted liquidity. Our findings moreover suggest that...

Because uncertainty is high in bad times, investors find it harder to assess firm prospects and, hence, should value analyst output more. However, higher uncertainty makes analysts' tasks harder so it is unclear if analyst output is more valuable in bad times. We find that, in bad times, analyst...

This paper examines how risk in trading activity can affect the volatility of asset prices. We look for this relationship in the behavior of interest rate swap spreads and in the volume and interest rates of repurchase contracts. Specifically, we focus on convergence trading, in which...