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...

Tests for the existence and the sign of the volatility risk premium are often based on expected option hedging errors. When the hedge is performed under the ideal conditions of continuous trading and correct model specification, the sign of the premium is the same as the sign of the mean hedging...

This paper deals with the superhedging of derivatives on incomplete markets, i.e. with portfolio strategies which generate payoffs at least as high as that of a given contingent claim. The simplest solution to this problem is in many cases a static superhedge, i.e. a buy-and-hold strategy...

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...