I analyze the interaction between buyers' information acquisition and market liquidity in over-the-counter markets with adverse selection. If a buyer anticipates that future buyers will acquire information about asset quality, she has an incentive to acquire information to avoid buying a lemon...

We show that larger trades incur lower trading costs in government bond markets (“size discount”), but costs increase in trade size after controlling for clients’ identities (“size penalty”). The size discount is driven by the cross-client variation of larger traders obtaining better...

Contrary to the prediction of the classic adverse selection theory, a more informed trader could receive better pricing relative to a less informed trader in over‑the‑counter financial markets. Dealers chase informed orders to better position their future quotes and avoid winner’s curse in...

We show that larger trades incur lower trading costs in government bond markets ('size discount'), but costs increase in trade size after controlling for clients’ identities (‘size penalty’). The size discount is driven by the cross‑client variation of larger traders obtaining better...

Previous studies of the U.S. market regard short-term reversal as compensation for liquidity provision. However, we find that intraday reversal has no significant dependence on stock liquidity for the Chinese market. Hence, based on a stylized framework, we propose an alternative explanation:...

What drives intraday reversal? Previous studies of the U.S. market regard short-term reversal as compensation for liquidity provision. However, in this paper, we find that intraday reversal has no significant dependence on stock liquidity for the Chinese market. Hence, based on a stylized...

Information-based reinforcement learning is effective for trading and price discovery in limit order markets. It helps traders to learn a statistical equilibrium in which traders' expected payoffs and out-sample payoffs are highly correlated. Consistent with rational equilibrium models, the...