We perform a general equilibrium analysis in a complete markets economy whenthe dividend follows a jump-diffusion process with stochastic volatility. Agents haveCRRA utility, but differ with respect to their degree of risk aversion. The keyoutput of our analysis is the structure of the...

This paper analyzes the properties of and the differences between derivative pricingmodels that include stochastic volatility or stochastic jumps or both of these riskfactors. The focus is on the pricing of European options. In a first step, we discussthe impact of the parameters in stochastic...

This paper proposes a risk measure, based on first-passage probability, which reflects intra-horizon risk in jump models with finite or infinite jump activity. Our empirical investigation shows, first, that the proposed risk measure consistently exceeds the benchmark Value-at-Risk (VaR). Second,...

The rapid growth of exchange traded products (ETPs) has raised concerns about their implications for financial stability. A case in point is the abrupt market crash of short volatility strategies on February 5th 2018. In this paper, we describe this “Volmageddon” event and illustrate the...

We show that the innovation in the risk-neutral probability of large downward and upward jumps in oil prices has a considerable predictive power for important economic indicators such as GDP growth, consumption growth, and total investment. In addition, we observe that the upside jump risk...

We discuss how to build ETF risk models. Our approach anchors on i) first building a multilevel (non-)binary classification/taxonomy for ETFs, which is utilized in order to define the risk factors, and ii) then building the risk models based on these risk factors by utilizing the heterotic risk...

Since trading cannot take place continuously, the optimal portfolio calculated ina continuous-time model cannot be held, but the investor has to implement thecontinuous-time strategy in discrete time. This leads to the question how severe theresulting discretization error is. We analyze this...

Using a new data set on investor sentiment we show that institutional and individualsentiment proxy for smart money and noise trader risk, respectively. First, usingbias-adjusted long-horizon regressions, we document that institutional sentiment forecastsstock market returns at intermediate...

The puzzling evidence of seemingly high momentum returns is related to an understanding ofrisk as a simple covariance. If we consider, however, risk in higher-order statistical moments,momentum returns appear less advantageous.

Model mis-specification can cause substantial utility losses in portfolio planning.In this paper, we compare two approaches to cope with this problem,robust control and learning. We derive the optimal portfolio strategies and theutility losses due to model mis-specification. Surprisingly,...