We investigate the impact of obstetrician supervision, as opposed to midwife supervision, on the short-term health of low-risk newborns. We exploit a unique policy rule in the Netherlands that creates a large discontinuity in the probability of a low-risk birth being attended by an obstetrician...

Daily individual patient records for every organ transplant capable hospital in the United States from 1987 to 2018 indicate a negative relationship between stock market returns and deaths. Stress related deaths, such as heart attacks and strokes, are the most pronounced around stock market...

Density forecasts have become quite important in economics and finance. For example, such forecasts play a central role in modern financial risk management techniques like Value at Risk. This paper suggests a regression based density forecast evaluation framework as a simple alternative to other...

In this paper, we use a modified concept of Granger-(non)causality in reconsidering the negative correlation between stock returns and inflation known in the literature as stock return-inflation puzzle. Based on the quarterly data for Germany including stock returns, inflation rates and growth...

Order flow imbalance refers to the difference between market buy and sell orders during a given period. This paper is the first study to examine effects of order flow imbalance on returns of stocks traded on the German Xetra trading system on a daily basis. In contrast to previous studies on...

The characteristics book-to-market equity ratio, size and momentum are highly correlated with the average returns of common stocks. Fama and French (J Financ Econ 33(1):3-56, 1993), (J Finance 50(1):131-155, 1995) and (J Finance 51(1):55-84, 1996) argue (for size and the book-to-market equity...

Today we live in a post-truth and highly digitalized era characterized by a flow of (mis-) information around the world. Identifying the impact of this information on stock markets and forecasting stock returns and volatilities has become a much more difficult task, perhaps almost impossible....

This paper evaluates the profitability of applying four different volatility forecasting models to the trading of straddles on the German stock market index DAX. Special care has been taken to use simultaneous intra-day prices and realistic transaction costs. Furthermore, straddle positions were...

Oil is perceived as a good diversification tool for stock markets. To fully understand this potential, we propose a new empirical methodology that combines generalized autoregressive score copula functions with high frequency data and allows us to capture and forecast the conditional...

We analyze the decision to announce an open market share repurchase and the share price reaction to the announcement. We use a conditional estimation approach which takes into account that the repurchase decision is made rationally and that, consequently, there is a potential selection bias....