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Working Paper
A Likelihood-Based Comparison of Macro Asset Pricing Models
We estimate asset pricing models with multiple risks: long-run growth, long-run volatility, habit, and a residual. The Bayesian estimation accounts for the entire likelihood of consumption, dividends, and the price-dividend ratio. We find that the residual represents at least 80% of the variance of the price-dividend ratio. Moreover, the residual tracks most recognizable features of stock market history such as the 1990's boom and bust. Long run risks and habit contribute primarily in crises. The dominance of the residual comes from the low correlation between asset prices and consumption ...
Working Paper
Learning, Rare Disasters, and Asset Prices
In this paper, we examine how learning about disaster risk affects asset pricing in an endowment economy. We extend the literature on rare disasters by allowing for two sources of uncertainty: (1) the lack of historical data results in unknown parameters for the disaster process, and (2) the disaster takes time to unfold and is not directly observable. The model generates time variation in the risk premium through Bayesian updating of agents' beliefs regarding the likelihood and severity of disaster realization. The model accounts for the level and volatility of U.S. equity returns and ...
Working Paper
Geopolitical Oil Price Risk and Economic Fluctuations
This paper studies the general equilibrium effects of time-varying geopolitical risk in the oil market by simultaneously modeling downside risk from disasters, oil storage and the endogenous determination of oil price and macroeconomic uncertainty in the global economy. Notwithstanding the attention geopolitical events in oil markets have attracted, we find that geopolitical oil price risk is not a major driver of global macroeconomic fluctuations. Even when allowing for the possibility of an unprecedented 20 percent drop in global oil production, it takes a large increase in the probability ...
Working Paper
Modeling the Evolution of Expectations and Uncertainty in General Equilibrium
We develop methods to solve general equilibrium models in which forward-looking agents are subject to waves of pessimism, optimism, and uncertainty that turn out to critically affect macroeconomic outcomes. Agents in the model are fully rational, conduct Bayesian learning, and they know that they do not know. Therefore, agents take into account that their beliefs will evolve according to what they will observe. This framework accommodates both gradual and abrupt changes in beliefs and allows for an analytical characterization of uncertainty. Shocks to beliefs affect economic dynamics and ...
Working Paper
Intermeeting Rate Cuts as a Response to Rare Disasters
This paper measures the probability of rare disasters by measuring the probability of the intermeeting federal funds rate cuts they provoke. Differentiating between months with Federal Open Market Committee (FOMC) meetings and months without identifies excess returns on federal funds futures averaging -1.5 bps per horizon month-ahead at short horizons, corresponding to a 3-5% per month risk-neutral probability of an intermeeting rate cut. The excess returns differ between months with and without meetings, suggesting a positive risk premium associated with meetings. The federal funds excess ...
Working Paper
Disaster Risk and Asset Returns : An International Perspective
Recent studies have shown that disaster risk can generate asset return moments similar to those observed in the U.S. data. However, these studies have ignored the cross-country asset pricing implications of the disaster risk model. This paper shows that standard U.S.-based disaster risk model assumptions found in the literature lead to counterfactual international asset pricing implications. Given consumption pricing moments, disaster risk cannot explain the range of equity premia and government bill rates nor the high degree of equity return correlation found in the data. Moreover, the ...
Working Paper
On the GDP Effects of Severe Physical Hazards
We assess the impacts from physical hazards (or severe weather events) on economic activity in a panel of 98 countries using local projection methods. Proxying the strength of an event by the monetary damages it caused, we find severe weather events to reduce the level of GDP. For most events in the EM-DAT data set the effects are small. The largest events in our sample (above the 90th percentile of damages) bring down the level of GDP by 0.5 percent for several years without recovery to trend. Smaller events (below the 90th percentile) see a less immediate decrease in initial years (0.1 ...