We show that time variation in macroeconomic uncertainty affects asset prices. Consumption volatility is a negatively priced source of risk for a wide variety of test portfolios. At the firm level, exposure to consumption volatility risk predicts future returns, generating a spread across quintile portfolios in excess of 7% annually. This premium is explained by cross‐sectional differences in the sensitivity of dividend volatility to consumption volatility. Stocks with volatile cash flows in uncertain aggregate times require higher expected returns.

A standard assumption of structural models of default is that firms' assets evolve exogenously. In this paper, we examine the importance of accounting for investment options in models of credit risk. In the presence of financing and investment frictions, firm‐level variables that proxy for asset composition are significant determinants of credit spreads beyond leverage and asset volatility, because they capture the systematic risk of firms' assets. Cross‐sectional studies of credit spreads that fail to control for the interdependence of leverage and investment decisions are unlikely to be very informative. Such frictions also give rise to a realistic term structure of credit spreads in a production economy.

This paper shows that standard disaster risk models are inconsistent with movements in stock market volatility and credit spreads during disasters. We resolve this shortcoming by incorporating persistent macroeconomic crises into a structural credit risk model. The model successfully captures the joint dynamics of aggregate consumption, financial leverage, and asset market risks, both unconditionally and during crises. Leverage strongly amplifies fundamental shocks by continuing to rise while crises endure. We structurally estimate the model and show that it replicates the firm-level implied volatility curve and its cross-sectional relation with observable proxies of default risk.

We study the impact of time-varying macroeconomic conditions on optimal dynamic capital structure for a cross-section of firms. Our structural-equilibrium framework embeds a contingent-claim corporate financing model within a consumption-based asset-pricing model. We investigate the effect of macroeconomic conditions on asset valuation and optimal corporate policies, and of preferences on capital structure. While capital structure is pro-cyclical at dates when firms re-lever, it is counter-cyclical in aggregate dynamics, consistent with empirical evidence. We also find that financially constrained firms choose more pro-cyclical policies and that leverage accounts for most of the macroeconomic risk relevant for predicting defaults, but is a poor measure of how preferences impact capital structure. The Author 2010. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: [email protected]., Oxford University Press.

We embed a structural model of credit risk inside a dynamic continuous-time consumption-based asset pricing model, which allows us to price equity and corporate debt in a unified framework. Our key economic assumptions are that the first and second moments of earnings and consumption growth depend on the state of the economy, which switches randomly, creating intertemporal risk, which agents prefer to resolve sooner rather than later, because they have Epstein-Zin-Weil preferences. Agents optimally choose dynamic capital structure and default times. For a dynamic cross-section of firms, our model endogenously generates a realistic average term structure and time series of actual default probabilities and credit spreads, together with a reasonable levered equity risk premium, which varies with macroeconomic conditions.

Long Run Risks, Credit Markets, and Financial Structure by Harjoat S. Bhamra, Lars-Alexander Kuehn and Ilya A. Strebulaev. Published in volume 100, issue 2, pages 547-51 of American Economic Review, May 2010

Market economies are intrinsically unstable. The standard search model of equilibrium unemployment, once solved accurately with a globally nonlinear algorithm, gives rise endogenously to rare disasters. Intuitively, in the presence of cumulatively large negative shocks, inertial wages remain relatively high, and reduce profits. The marginal costs of hiring run into downward rigidity, which stems from the trading externality of the matching process, and fail to decline relative to profits. Inertial wages and rigid hiring costs combine to stifle job creation flows, depressing the economy into disasters. The disaster dynamics are robust to extensions to home production, capital accumulation, and recursive utility.