We extract aggregate demand and supply shocks for the US economy from real-time survey data on inflation and real GDP growth using a novel identification scheme. Our approach exploits non-Gaussian features of macroeconomic forecast revisions and imposes minimal theoretical assumptions. After...

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....

We propose an extension of standard asymmetric volatility models in the generalized autoregressive conditional heteroskedasticity (GARCH) class that admits conditional non-Gaussianities in a tractable fashion. Our bad environment-good environment" (BEGE) model utilizes two gamma-distributed...

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 extract aggregate supply and aggregate demand shocks for the US economy from macroeconomic data on inflation, real GDP growth, core inflation and the unemployment gap. We first use unconditional non-Gaussian features in the data to achieve identification of these structural shocks while...

We propose an extension of standard asymmetric volatility models in the generalized autoregressive conditional heteroskedasticity (GARCH) class that admits conditional non-Gaussianities in a tractable fashion. Our "bad environment-good environment" (BEGE) model utilizes two gamma-distributed...

We use information in higher-order moments to identify aggregate supply and aggregate demand shocks for the U.S. economy. Traditional methods based on sign restrictions and/or second-order moments yield only “set” or “interval” identification but higher-order moments are shown to...