We model the dynamics of ask and bid curves in a limit order book market using a dynamic semiparametric factor model. The shape of the curves is captured by a factor structure which is estimated nonparametrically. Corresponding factor loadings are assumed to follow multivariate dynamics and are...

We model the dynamics of ask and bid curves in a limit order book market using a dynamic semiparametric factor model. The shape of the curves is captured by a factor structure which is estimated nonparametrically. Corresponding factor loadings are assumed to follow multivariate dynamics and are...

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...

We test relative illiquidity, exemplified through a temporary lock-up, as a partial explanation for the gap between theoretical and empirical weights for real estate in a multi-asset portfolio. Since asset correlations are known to increase in bear markets, reducing their diversification...

We analyze the term structure of illiquidity premiums as the difference between the yield curves of two major bond segments that are both government guaranteed but differ in their liquidity. We show that its characteristics strongly depend on the economic situation. In crisis times, illiquidity...

The existing literature implicitly or explicitly assumes that securities lenders primarily respond to demand from borrowers and reinvest their cash collateral through short-term markets. Using a new dataset that matches every U.S. life insurer's bond portfolio, as well as their lending and...

High frequency trading (HFT) depends on sophisticated algorithms to closely monitor price changes across securities. Theory predicts this technological advantage should translate into market-wide liquidity co-variation, by transmitting information-based liquidity shocks. Using a dataset of...

While investors demand a premium to hold stocks with high illiquidity level and risk, they underreact to stock-level liquidity shocks and idiosyncratic liquidity. Built on Baker and Stein (2004) market liquidity model, this paper: (i) reports a significant relationship between market liquidity...

We take advantage of a unique data set, NASDAQ ModelView, to empirically analyze the determinants and the impact of hidden liquidity on public exchanges. Our findings are as follows. First, the cross-sectional presence of hidden liquidity is well explained by observable and readily available...

We construct a dynamic model of a multi-asset over-the-counter (OTC) market that operates via search and bargaining and empirically test its implications using data from the US corporate bond market. The key novelty in our model is that investors can hold and manage portfolios of OTC-traded...