Exchanges sell both trading services and price information. We study how the joint pricing of these products affects price discovery and the distribution of gains from trade in an asset market. A wider dissemination of price information reduces pricing errors and the transfer from liquidity...

Algorithms enable investors to locate trading opportunities, which raises gains from trade. Algorithmic traders can also process information on stock values before slow traders, which generates adverse selection. We model trading in this context and show that, for a given level of algorithmic...

Competition among trading platforms has considerably reduced trading fees in stock markets. We show that this evolution is not necessarily beneficial to investors. Obviously it increases gains from trade when a trade happens. Less obviously, it can induce investors to post limit orders with a...

Liquidity providers often learn information about an asset from prices of other assets. We show that this generates a self-reinforcing positive relationship between price informativeness and liquidity. This relationship causes liquidity spillovers and is a source of fragility: a small drop in...

Firms significantly reduce their investment in response to non-fundamental drops in the stock price of their product-market peers. We argue that this result arises because of managers' limited ability to filter out the noise in stock prices when using them as signals about their investment...

We propose a new model of trading in OTC markets. Dealers accumulate inventories by trading with end-investors and trade among each other to reduce their inventory holding costs. Core dealers use a more efficient trading technology than peripheral dealers, who are heterogeneously connected to...

We show that product differentiation reduces the informativeness of a firm's stock price (or its peers' stock prices) about the value of its growth opportunities. This results in less efficient exercise of a firm's growth options when managers rely on information in stock prices for their...