We estimate the response of corporate bond credit spreads to three exogenous shocks: oil supply, investment-specific technology, and government spending. Credit spreads respond significantly to these macroeconomic shocks; the response is similar in magnitude, opposite in sign, and with a slight...

Consensus professional forecasts of stock returns are three times more volatile than those of non-professionals and econometricians. This "excess" volatility in professional forecasts is not due to noise. Rather, professional forecasts respond immediately, strongly, and countercyclically to...

"We consider various MIDAS (Mixed Data Sampling) regression models to predict volatility. The models differ in the specification of regressors (squared returns, absolute returns, realized volatility, realized power, and return ranges), in the use of daily or intra-daily (5-minute) data, and in...

We propose a novel approach to optimizing portfolios with large numbers of assets. We model directly the portfolio weight in each asset as a function of the asset's characteristics. The coefficients of this function are found by optimizing the investor's average utility of the portfolio's return...

We propose a new approach to imposing economic constraints on forecasts of the equity premium. Economic constraints are used to modify the posterior distribution of the parameters of the predictive return regression in a way that better allows the model to learn from the data. We consider two...