We empirically investigate the relation between daily activity in the underlying stock and option liquidity for firms included in the German DAX index and with options traded on the electronic exchange EUREX. By means of regression analyses we identify the major determinants of transaction-based...

The vast majority of approaches to risk management, hedging, or portfolio planning assume that some model is given. However, under model risk, the true data generating process is not known. The focus of this paper is on problems related to the hedging of derivative contracts. We explain the main...

This paper provides an in-depth analysis of the properties of popular tests for the existence and the sign of the market price of volatility risk. These tests are frequently based on the fact that for some option pricing models under continuous hedging the sign of the market price of volatility...

There is empirical evidence that the implied volatility smile for index options is significantly steeper than the smile for individual options. We propose a simple model setup that is able to explain this difference. When modelling the index, an aggregation restriction has to be taken into...

This paper deals with the problem of determining the correct beta for options in a Black-Scholes (BS) framework. For the purpose of testing simple asset pricing relationships previous papers used the 'local' BS beta as the measure of systematic option risk even over return intervals of discrete...

This paper examines continuous-time models for the price and volatility processes of individual stocks and the S\amp;P 100 index via Markov Chain Monte Carlo estimation. We find that the stochastic processes governing individual stocks are rather heterogeneous. A key result of our investigation...

We test the conditional CAPM with time-varying forward-looking betas, assuming a two-state model for the market risk premium. For market state identification we employ a recursive Markov-switching model based on a forward-looking Sentiment factor. The empirical results for our sample of...

This paper examines continuous-time models for the price and volatility processes of individual stocks and the S\amp;P 100 index via Markov Chain Monte Carlo estimation. We find that the stochastic processes governing individual stocks are rather heterogeneous. A key result of our investigation...

Cross-sectional asset pricing tests with GMM can generate spuriously high explanatory power for factor models when the moment conditions are specified such that they allow the estimated factor means to substantially deviate from the observed sample averages. In fact, by shifting the weights on...

We assess financial theory-based and machine learning-implied measurements of stock risk premia by comparing the quality of their return forecasts. In the low signal-to-noise environment of a one-month horizon, it is preferable to rely on a theory-based approach instead of engaging in...