[We argue that the cointegrating relation between dividends and consumption, a measure of long-run consumption risks, is a key determinant of risk premia at all investment horizons. As the investment horizon increases, transitory risks disappear, and the asset's beta is dominated by long-run consumption risks. We show that the return betas, derived from the cointegration-based VAR (EC-VAR) model, successfully account for the cross-sectional variation in equity returns at both short and long horizons; however, this is not the case when the cointegrating restriction is ignored. Our evidence highlights the importance of cointegration-based long-run consumption risks for financial markets.]

We develop an equilibrium model with moral hazard, which arises because some productivity shocks are privately observed by firm managers only. We characterize the optimal contract and its implications for firm size, growth, and managerial pay-performance sensitivity and exploit them to quantify the severity of the moral hazard problem. Our estimation suggests that unobservable shocks are relatively modest and account for about 10% of the total variation of firm output. Nonetheless, moral-hazard-induced incentive pay is quantitatively significant and accounts for 50% of managerial compensation. Eliminating moral hazard would result in about a 1% increase in aggregate output.

We argue that the cointegrating relation between dividends and consumption, a measure of long-run consumption risks, is a key determinant of risk premia at all investment horizons. As the investment horizon increases, transitory risks disappear, and the asset's beta is dominated by long-run consumption risks. We show that the return betas, derived from the cointegration-based VAR (EC-VAR) model, successfully account for the cross-sectional variation in equity returns at both short and long horizons; however, this is not the case when the cointegrating restriction is ignored. Our evidence highlights the importance of cointegration-based long-run consumption risks for financial markets.