We examine the transmission of global macro-financial uncertainty to economic activity depending on the current state of the banking sector. Previous literature suggests that credit supply and uncertainty shocks are important drivers of economic activity, but the distinction between the two is...

We use data from betting markets to analyze the sensitivity of stock returns to potential outcomes of political events such as elections. By classifying stocks into expected conditional winners and losers prior to such an event, we form portfolios that generate large positive returns after the...

In the IS literature standard financial option pricing models are predominantly used to value real options embedded in uncertain IT projects. Based on a multidisciplinary literature review, we discuss the assumptions implicit in the prevalent Black-Scholes model and argue for relaxed assumptions...

Following financial research on the importance of public policy for asset prices, we hypothesize that the success of populist movements impacts risk assessments in financial markets. Building a novel dataset, findings show for a sample of Western democracies that the success of populist parties...

We describe existing and potential financial applications of the Mahalanobis distance. After a short motivation and a discussion of important properties of this multivariate distance measure, we classify its applications in finance according to the source and nature of its input parameters....

We examine the transmission of global macro-financial uncertainty to economic activity depending on the current state of the banking sector. Previous literature suggests that credit supply and uncertainty shocks are important drivers of economic activity, but the distinction between the two is...