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...

This paper provides a theoretical and numerical analysis of robust hedging strategies in diffusion type models including stochastic volatility models. A robust hedging strategy avoids any losses as long as thec realised volatility stays within a given interval. We focus on the effects of...

When options are traded, one can use their prices and price changes to draw inference about the set of risk factors and their risk premia. We analyze tests for the existence and the sign of the market prices of jump risk that are based on option hedging errors. We derive a closed-form solution...

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...

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...

We analyze the portfolio planning problem of an ambiguity averse investor. The stock follows a jump-diffusion process, and there is ambiguity about the drift of the stock and the intensity of jumps. The consequences of ambiguity with respect to jump and diffusion risk are by no means the same....