Over the years, a diverse range of drawdown measures has evolved to guide asset management. We show that almost all of these measures fit into a unified framework. This new framework simplifies the implementation of drawdown measures and improves understanding their similarities and differences....

We develop a model of illiquidity transmission from spot to futures markets that formalizes the derivative hedge theory of Cho and Engle (1999). The model shows that spot market illiquidity does not translate one to one to the futures market but, rather, interacts with price risk, liquidity...

The intangible costs of data breach events encompass for instance the loss of investor confidence, reputational damage and loss of competitive advantage. Yet, existing literature sheds light on this phenomenon only to a limited extent due to methodological challenges related to the estimation of...

Based on four empirical studies, this thesis investigates the interrelation of corporate governance, information intermediation, and earnings management. First, the thesis complements the discussion initiated by the European Securities and Market Authorities about the role of proxy advisors at...

We develop a new family of estimators of the covariance matrix that relies solely on forwardlooking information. It uses only current prices of plain-vanilla options. In an out-of-sample study we show that a minimum-variance strategy based on these fully-implied estimators outperforms several...

This paper provides implied measures of higher-order dependencies between assets. The measures exploit only forward-looking information from the options market and can be used to construct an implied estimator of the covariance, co-skewness, and co-kurtosis matrices of asset returns. We...