[We show that bond risk premia rise with uncertainty about expected inflation and fall with uncertainty about expected growth; the magnitude of return predictability using these uncertainty measures is similar to that by multiple yields. Motivated by this evidence, we develop and estimate a long-run risks model with timevarying volatilities of expected growth and inflation. The model simultaneously accounts for bond return predictability and violations of uncovered interest parity in currency markets. We find that preference for early resolution of uncertainty, time-varying volatilities, and non-neutral effects of inflation on growth are important to account for these aspects of asset markets.]

[We develop a general equilibrium model in which income and dividends are smooth but asset prices contain large moves (jumps). These large price jumps are triggered by optimal decisions of investors to learn the unobserved state. We show that learning choice is determined by preference parameters and the conditional volatility of income process. An important model prediction is that income volatility predicts future jump periods, while income growth does not. Consistent with the model, large moves in returns in the data are predicted by consumption volatility but not by consumption growth. The model quantitatively captures these novel features of the data.]

High expected inflation is known to predict low future real growth. We show that, relative to nondurable goods sectors of the economy, such predictability is significantly more pronounced in durable sectors. Consistent with this macroeconomic evidence, the equity returns of durable goods-producing firms have a larger negative exposure to expected inflation risks. We estimate a two-good recursive utility model that features persistent growth fluctuations and inflation nonneutrality for durable and nondurable consumption. Our model can quantitatively account for the levels and volatilities of bond and equity prices, and correlations of equity returns with bond returns and with expected inflation.

We find that high productivity-based macroeconomic uncertainty is associated with greater accumulation of physical capital despite a reduction in investment and valuations. To reconcile this puzzling evidence, we show that uncertainty predicts lower aggregate depreciation of existing capital, which dominates the investment slowdown. We explain these findings by developing a quantitative production-based model in which firms implement precautionary savings through reducing utilization rather than raising investment. Through this novel intensive-margin mechanism, uncertainty shocks command a quarter of the equity premium in general equilibrium. Flexibility in utilization adjustments also helps explain uncertainty risk exposures in the cross-section of industry returns.

We show that bond risk premia rise with uncertainty about expected inflation and fall with uncertainty about expected growth; the magnitude of return predictability using these uncertainty measures is similar to that by multiple yields. Motivated by this evidence, we develop and estimate a long-run risks model with timevarying volatilities of expected growth and inflation. The model simultaneously accounts for bond return predictability and violations of uncovered interest parity in currency markets. We find that preference for early resolution of uncertainty, time-varying volatilities, and non-neutral effects of inflation on growth are important to account for these aspects of asset markets.

We develop a general equilibrium model in which income and dividends are smooth but asset prices contain large moves (jumps). These large price jumps are triggered by optimal decisions of investors to learn the unobserved state. We show that learning choice is determined by preference parameters and the conditional volatility of income process. An important model prediction is that income volatility predicts future jump periods, while income growth does not. Consistent with the model, large moves in returns in the data are predicted by consumption volatility but not by consumption growth. The model quantitatively captures these novel features of the data.

High expected inflation is known to predict low future real growth. We show that, relative to nondurable goods sectors of the economy, such predictability is significantly more pronounced in durable sectors. Consistent with this macroeconomic evidence, the equity returns of durable goods-producing firms have a larger negative exposure to expected inflation risks. We estimate a two-good recursive utility model that features persistent growth fluctuations and inflation nonneutrality for durable and nondurable consumption. Our model can quantitatively account for the levels and volatilities of bond and equity prices, and correlations of equity returns with bond returns and with expected inflation.

We develop a novel measure of volatility pass-through to assess international propagation of output volatility shocks to macroeconomic aggregates, equity prices, and currencies. An increase in country’s output volatility is associated with a decrease in its output, consumption, and net exports. The average consumption pass-through is 50% (a 1% increase in output volatility increases consumption volatility by 0.5%) and it increases to 70% for shocks originating in smaller countries. The equity volatility pass-through is larger and in the order of 90%. A novel channel of risk sharing of volatility risks can explain our empirical findings.