We study the joint portfolio and information choice problem of institutional investors who are concerned about their performance relative to a benchmark. Benchmarking influences information choices through two distinct economic mechanisms. First, benchmarking reduces the number of shares in investors’ portfolios that are sensitive to information. Hence, the value of private information declines. Second, benchmarking limits investors’ willingness to speculate. This not only reduces the value of private information but also adversely affects information aggregation. In equilibrium, investors acquire less information and informational efficiency declines. As a result, return volatility increases, and less-benchmarked institutional investors outperform more-benchmarked ones. Received May 31, 2017; editorial decision July 4, 2018 by Editor Stijn Van Nieuwerburgh. Authors have furnished supplementary code, which is available on the Oxford University Press Web site next to the link to the final published paper online.

We quantify private benefits of control by estimating a structural model of optimal shareholding using data on the ownership dynamics of Italian public companies. In the model, shareholders must maintain a minimum stake in the company to extract control benefits, which leads to infrequent trading of large blocks, and which is consistent with the empirical evidence. We estimate that control benefits account for 2% (4%) of the market value of the equity (block), and controlling shareholders earn a sizeable premium from the block holding on top of the market value of the shares. Also, we provide evidence that large block ownership and ownership persistence are associated with higher stock returns.

This paper studies the measurement of forward-looking tail risk in US equity markets around the COVID-19 outbreak. We document that financial markets are informative about how pandemic risk has spread in the economy in advance of the actual outbreak. While the tail risk of the market index did not respond before the outbreak, investors identified less pandemic-resilient economic sectors whose tail risk boomed in advance of both the market drawdown and the implementation of social distancing provisions. This pattern is consistent across different methodologies for measuring forward-looking tail risk, using option contracts, and across various horizons.