Long short-term memory (LSTM) networks are a state-of-the-art technique for sequence learning. They are less commonly applied to financial time series predictions, yet inherently suitable for this domain. We deploy LSTM networks for predicting out-of-sample directional movements for the...

This paper introduces two new concepts of symmetry for multivariate copulas with a focus on tails regions. Properties of the symmetry concepts are investigated for bivariate copulas and a connection to radial symmetry is established. Two nonparametric testing procedures for the new concepts are...

A large literature aims to establish a causal link between education and health using changes in compulsory schooling laws. It is however unclear how well more education is operationalized by marginal increases in school years. We shed a new light on this discussion by analyzing the health...

This paper analyses optimal treatment allocation of experimental units to treatment and control group. 'Optimal' means that the allocation of treatments should balance covariates across treatment and control group in a way that minimizes the variance of the treatment estimator in a given linear...

This paper analyzes whether moderate weight reduction improves subjective health perception in obese individuals. To cure possible endogeneity bias in the regression analysis, we use randomized monetary weight loss incentives as instrument for weight change. In contrast to related earlier work...

Recent experimental studies analyze the behavior of physicians towards patients and nd that physicians care for their own pro t as well as patient bene t. In this paper, we extend the experimental analysis of the physician decision problem by adding a third party representing the health...

This paper develops a statistical arbitrage strategy based on overnight social media data and applies it to high-frequency data of the S&P 500 constituents from January 2014 to December 2015. The established trading framework predicts future financial markets using Factorization Machines, which...

We implement waiting time as a currency in an ultimatum game in an experimental laboratory study. Subjects had to split 60 minutes of waiting time. We analyze bargaining behavior in varying situations connected to waiting time as well as gain and loss framing. Different situations that follow...

This paper proposes a way of using observational pretest data for the design of experiments. In particular, this paper suggests to train a random forest on the pretest data and to stratify the allocation of treatments to experimental units on the predicted dependent variables. This approach...

This paper empirically analyzes the effects of a second generation rent control. We make use of an uncommon policy intervention in the German housing market and translate the generated variation into a difference-and-differences setup, augmented with elements of a discontinuity design, to...