We propose a long-run risk model with stochastic volatility, a time-varying mean reversion level of volatility, and jumps in the state variables. The special feature of our model is that the jump intensity is not affine in the conditional variance but driven by a separate process. We show that...

Stocks are exposed to the risk of sudden downward jumps. Additionally, a crash in one stock (or index) can increase the risk of crashes in other stocks (or indices). Our paper explicitly takes this contagion risk into account and studies its impact on the portfolio decision of a CRRA investor...

The paper analyzes the robustness of stable volatility strategies, i.e. strategies in which the portfolio weight of the stock is inversely proportional to its local volatility. These strategies are optimal for a CRRA investor if the stock follows a diffusion process, the expected excess return...

We show that the widely documented negative relation between idiosyncratic volatility (IVOL) and expected returns can be explained by the mean reversion of stocks' idiosyncratic volatilities. We use option-implied information to extract the mean reversion speed of IVOL in an almost model-free...

We generalize and extend the long-run risk model by Drechsler and Yaron (201'7 by separating the processes for the jump intensity and the stochastic conditional variance. Furthermore we replace their Ornstein-Uhlenbeck specification for the long-run mean of the conditional variance by a...

We study a long-run risk model with a stochastic consumption growth rate, a stochastic volatility, a stochastic jump intensity, and a stochastic mean reversion level for the latter two processes. First, using a square-root specification instead of the Ornstein-Uhlenbeck process suggested by...

We study the implications of the quality of information about the business cycle for the pricing of defensive and cyclical stocks in a general equilibrium framework. We rely on a two-tree Lucas-style endowment economy in which the business cycle is modeled as an unobservable mean reverting...

This paper explores how economic uncertainty evolves over time and how it is priced in the market. We solve for the variance premium, the prices of equity index options, and the prices of volatility related derivatives in a long-run risks model. We find that both short-run and long-run...

Uncertainty and monetary policy decisions in the U.S. interact with one another. Contrary to the common notion that FOMC announcements resolve a non-trivial amount of economic uncertainty, we find that the announcement commands a sizable left-tail premium, which builds up a few days in advance....