Daily returns for stocks listed on the New York Exchange (NYSE) are not serially dependent. In contrast, order imbalances on the same stocks are highly persistent from day to day. These two empirical facts can be reconciled if sophisticated investors react to order imbalances within the trading...

This paper studies the relation between order imbalances and daily returns of individual stocks. Our tests are motivated by a model which explicitly considers how market makers dynamically accommodate autocorrelated imbalances emanating from large traders who optimally choose to split their...

We study the joint time-series of daily liquidity in government bond and stock markets over the period 1991 to 1998. Innovations in liquidity are positively and significantly correlated across stock and bond markets. Further, order imbalances in the stock market impact bond and stock liquidity,...

Traditionally, volume has provided the link between trading activity and returns. We focus on a hitherto unexplored but intuitive measure of trading activity: the aggregate daily order imbalance on the New York Stock Exchange. Signed order imbalances increase (decrease) following market declines...

This paper explores liquidity spillovers in market-capitalization based portfolios of NYSE stocks. Return, volatility, and liquidity dynamics across the small and large cap sector are modeled by way of a vector autoregression model, using data that spans more than 3000 trading days. We find that...

This paper explores commonalities across asset pricing anomalies. In particular, we assess implications of financial distress for the profitability of anomaly-based trading strategies. Strategies based on price momentum, earnings momentum, credit risk, dispersion, idiosyncratic volatility, and...