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.

We estimate a standard structural model of credit risk to draw insights about the premium demanded by investors for bearing default risk, using data on credit default swaps and market capitalization. We pin down the daily market value of assets for a set of non-financial firms and uncover cross-sectional heterogeneity in terms of the magnitude and time variation of the premium. By exploring the link between asset and default risk premia, we show that this heterogeneity closely depends on the relationship between the firm-specific market value of the assets and the business cycle.

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.