We exploit an exogenous change in basis risk in the oil and gas industry to analyze the channels through which hedging affects firm value. Using a difference-in-differences framework, we find that firms affected by a basis risk shock reduce investment, have lower valuations, sell assets, and reduce debt. Our findings are driven by firms with ex ante high leverage. Overall, our results provide evidence that reducing the probability of financial distress and underinvestment risk are first-order channels through which hedging affects firm value.

We develop and estimate a tractable equilibrium term structure model populated with rational but heterogeneously informed traders that take on speculative positions to exploit what they perceive to be inaccurate market expectations about future bond prices. The speculative motive is an important driver of trading volume. Yield dynamics due to speculation are (1) statistically distinct from classical term structure components due to risk premiums and expectations about future short rates and are orthogonal to public information available to traders in real time and (2) quantitatively important, accounting for a substantial fraction of the variation of long maturity U. S. bond yields.

We exploit an exogenous change in basis risk in the oil and gas industry to analyze the channels through which hedging affects firm value. Using a difference-in-differences framework, we find that firms affected by a basis risk shock reduce investment, have lower valuations, sell assets, and reduce debt. Our findings are driven by firms with ex ante high leverage. Overall, our results provide evidence that reducing the probability of financial distress and underinvestment risk are first-order channels through which hedging affects firm value. Received October 5, 2015; editorial decision December 22, 2016 by Editor David Denis.

Financial regulators and investors have expressed concerns about high pay inequality within firms. Using a proprietary data set of public and private firms, this paper shows that firms with higher pay inequality—relative wage differentials between top-and bottom-level jobs—are larger and have higher valuations and stronger operating performance. Moreover, firms with higher pay inequality exhibit larger equity returns and greater earnings surprises, suggesting that pay inequality is not fully priced by the market. Our results support the notion that differences in pay inequality across firms are a reflection of differences in managerial talent.

Financial regulators and investors have expressed concerns about high pay inequality within firms. Using a proprietary data set of public and private firms, this paper shows that firms with higher pay inequality—relative wage differentials between top- and bottom-level jobs—are larger and have higher valuations and stronger operating performance. Moreover, firms with higher pay inequality exhibit larger equity returns and greater earnings surprises, suggesting that pay inequality is not fully priced by the market. Our results support the notion that differences in pay inequality across firms are a reflection of differences in managerial talent. Received March 14, 2016; editorial decision January 21, 2017 by Editor Itay Goldstein.

We develop and estimate a tractable equilibrium term structure model populated with rational but heterogeneously informed traders that take on speculative positions to exploit what they perceive to be inaccurate market expectations about future bond prices. The speculative motive is an important driver of trading volume. Yield dynamics due to speculation are (1) statistically distinct from classical term structure components due to risk premiums and expectations about future short rates and are orthogonal to public information available to traders in real time and (2) quantitatively important, accounting for a substantial fraction of the variation of long maturity U.S. bond yields. Received May 12, 2014; editorial decision May 10, 2016 by Editor Pietro Veronesi.

We consider asset pricing models in which the SDF can be factorized into an observable component and a potentially unobservable one. Using a relative entropy minimization approach, we nonparametrically estimate the SDF and its components. Empirically, we find the SDF has a business-cycle pattern and significant correlations with market crashes and the Fama-French factors. Moreover, we derive novel bounds for the SDF that are tighter and have higher information content than existing ones. We show that commonly used consumption-based SDFs correlate poorly with the estimated one, require high risk aversion to satisfy the bounds and understate market crash risk. (