We solve a multi-period model of strategic trading with long-lived information in multiple assets with correlated innovations in fundamental values. Market makers in each asset can only condition their price functions on trading in the that asset (but not on trading in the other asset). Using...

Traditional liquidity measures can provide a false impression of the liquidity and stability of financial market trading. Using data on auctions (bids wanted in competition; BWICs) from the collateralized loan obligation (CLO) market, we show that a standard measure of liquidity, the effective...

We examine the network of trading relations between insurers and dealers in the over-the-counter corporate bond market. Comprehensive regulatory data shows that many insurers use only one dealer while the largest insurers have networks of up to forty dealers. Large insurers receive better prices...

Using data on indicative quotes dealers provide to clients, we establish empirical relationships regarding quote competition in the corporate bond market. Market-wide higher quoting activity is associated with greater trading volume and lower trading costs. At the dealer level, quoting dealers...

We propose a new approach to measuring informed trading in individual securities based on a portfolio optimization model for investors facing information and liquidity shocks. These shocks induce speculative and liquidity-motivated order flow, taking into account the price impact of trading. The...

While algorithmic trading now dominates financial markets, some exchanges continue to use human floor traders. On March 23, 2020 the NYSE suspended floor trading because of COVID-19. Using a difference-in-differences analysis, we find that floor traders are important contributors to market...

Using limit order books across all U.S. exchanges, we show that while liquidity for small orders (e.g., the quoted and effective spreads) decreases, liquidity for large orders (e.g., the cumulative depth and the price impact of multiple trades) improves after the implementation of the Tick Size...

We propose a portfolio optimization approach to identifying private information. In our model, investors are exposed to liquidity and private information shocks and optimize their trading across stocks taking into account price impact (Kyle's Lambda). We obtain a very simple expression for a...