Using the expected option-implied variance reduction to measure the sensitivity of stock returns to monetary policy announcement surprises, this paper shows monetary policy announcements require significant risk compensation in the cross section of equity returns. We develop a parsimonious equilibrium model in which FOMC announcements reveal the Federal Reserve’s private information about its interest-rate target, which affects the private sector’s expectation about the long-run growth-rate of the economy. Our model accounts for the dynamics of implied variances and the cross section of the monetary policy announcement premium realized around FOMC announcement days.

The variance risk premium, defined as the difference between the actual and risk-neutral expectations of the forward aggregate market variation, helps predict future market returns. Relying on a new essentially model-free estimation procedure, we show that much of this predictability may be attributed to time variation in the part of the variance risk premium associated with the special compensation demanded by investors for bearing jump tail risk, consistent with the idea that market fears play an important role in understanding the return predictability.

Recent empirical evidence suggests that the variance risk premium predicts aggregate stock market returns. We demonstrate that statistical finite sample biases cannot “explain” this apparent predictability. Further corroborating the existing evidence of the United States, we show that country-specific regressions for France, Germany, Japan, Switzerland, the Netherlands, Belgium, and the United Kingdom result in quite similar patterns. Defining a “global” variance risk premium, we uncover even stronger predictability and almost identical cross-country patterns through the use of panel regressions.

The option-implied oil price volatility is a strong negative predictor of economic growth beyond traditional uncertainty measures. A rise in oil volatility also predicts an increase in oil inventories and a reduction in oil consumption, in line with a propagation channel through the oil sector. We explain these findings within a macro-finance model featuring stochastic uncertainties and precautionary oil inventories: firms increase oil inventories when oil volatility rises, which curbs oil use for production and depresses economic activity. In the model and the data, aggregate equity prices fall at times of high oil volatility, with differential exposures across economic sectors.

We provide for the first time the emerging market variance risk premium (EMVRP) from 2006 to 2023, based on nine emerging stock and option markets—Brazil, China, India, South Korea, Mexico, Poland, Russia, South Africa, and Taiwan. The EMVRP significantly predicts international stock returns and currency appreciation rates, especially for horizons longer than six months. This is in sharp contrast with the predictive pattern of the developed market variance risk premium (DMVRP), which is more important over horizons shorter than six months. These findings are consistent with an illustrative model incorporating partial market integration and heterogeneous economic uncertainty.