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...

This research uses macro factors to explain four standard U.S. stock market risk premia, i.e. the market excess return (RM-RF), size (SMB), value (HML), and momentum (WML). We find in-sample predictive power of macro factors, in particular at a one-year horizon. Differentiating between bull and...

From 1963 through 2015, idiosyncratic risk (IR) is high when market risk (MR) is high. We show that the positive relation between IR and MR is highly stable through time and is robust across exchanges, firm size, liquidity, and market-to-book groupings. Though stock liquidity affects the...

We find, unlike earlier studies, that there is no rise in the market betas of stocks that enter the S&P 500 index when the estimated factor model is that of Fama and French (1993). We also find that SMB and HML factor betas decline after the stocks are added to the index. This decline is...

Following Chairman Ben Bernanke’s comments before Congress that the FOMC may ‘take a step down in the pace of asset purchases if economic improvement appears to be sustained’, US 10-year interest rates picked up sharply and gross capital flows to emerging market economies (EMEs) reversed....

Inter-dealer trading in US Treasury Securities is almost equally divided between two similar electronic trading platforms. This provides a natural experiment within which to test the propositions of Bloomfield & O'Hara (1999 and 2000) about price discovery in fragmented markets. We examine the...

Inter-dealer trading in US Treasury Securities is almost equally divided between two similar electronic trading platforms. BrokerTec is more active in the trading of 2-, 5-, and 10-year T-notes while eSpeed has more active trading in the 30-year bond. eSpeed provides a more pre-trade transparent...

I examine how financial markets interact with news about the COVID-19 pandemic. A twelve topic model optimizes the trade-off between number of topics and topic coherence. Using this model, I show that before mid-March 2020 markets react more to the same quantum of news when volatility is higher...

In a 2001 interview in Forbes, Warren Buffett suggested that the ratio of the market value of publicly traded stocks to economic output could identify potential equity market mispricings. This paper investigates the return-predictive characteristics of the market value of equity-to-gross...