We use non-Gaussian features in U.S. macroeconomic data to identify aggregate supply and demand shocks while imposing minimal economic assumptions. Macro risks represent the variables that govern the time-varying variance, skewness and higher-order moments of these two shocks, with "good"...

We use non-Gaussian features in U.S. macroeconomic data to identify aggregate supply and demand shocks while imposing minimal economic assumptions. Recessions in the 1970s and 1980s were driven primarily by supply shocks; later recessions by demand shocks. We estimate macro risk factors that...

We use non-Gaussian features in U.S. macroeconomic data to identify aggregate supply and demand shocks while imposing minimal economic assumptions. Recessions in the 1970s and 1980s were driven primarily by supply shocks, later recessions were driven primarily by demand shocks, and the Great...

We introduce a "bad environment-good environment" technology for consumption growth in a consumption-based asset pricing model. Using the preference structure from Campbell and Cochrane (1999), the model generates realistic non-Gaussian features of fundamentals while still permitting closed-form...

We introduce a "bad environment-good environment" technology for consumption growth in a consumption-based asset pricing model. Using the preference structure from Campbell and Cochrane (1999), the model generates realistic time-varying volatility, skewness and kurtosis in fundamentals while...

We estimate the time-varying distribution of aggregate supply (AS) and aggregate demand (AD) shocks defined in the Keynesian tradition. In modeling the time variation in higher order moments, we distinguish between traditional Gaussian uncertainty and "bad" uncertainty, associated with negative...

We investigate whether the globalization process of the last thirty years has lead to “convergence” of asset prices in a wide set of countries, encompassing both developed and emerging markets. We examine several measures of convergence for interest rates (real and nominal) and bond and...

We propose a new way to conduct multiple hypothesis testing in economics research. Our framework allows for correlation among tests and incomplete data, both of which are prevalent in economic meta-analysis. Our simulations show that that our method is able to produce the correct p-value cutoff...

The equity variance risk premium is the expected compensation earned for selling variance risk in equity markets. The variance risk premium is positive and shows moderate persistence. High variance risk premiums coincide with the left tail of the consumption growth distribution shifting down....

Single factor asset pricing models face two major hurdles: the problematic time-series properties of the ex ante market risk premium and the inability of the risk measure to account for a substantial degree of the cross-sectional variation of expected excess returns. We provide an explanation...