This paper analyzes the relation between correlation risk and the cross-section of hedge fund returns.Legal framework and investment mandate imply that hedge funds can be severely exposed tocorrelation risk: Hedge funds ability to enter long-short positions can be useful to reduce marketbeta,...

This paper studies whether and why algorithmic traders exhibit one of the most broadlydocumented behavioral puzzles - the disposition effect. We use trade data from the NASDAQ Copenhagen Stock Exchange merged with the weather data. We find that on average, the disposition effect for human...

We find that price and earnings momentum are pervasive features of international equitymarkets when controlling for data snooping biases. For European countries, we find that pricemomentum is subsumed by earnings momentum on an aggregate level. However, this rationaledoes not apply to each and...

Bonds issued in high and low interest-rate environments often list at different prices despite very similar characteristics. From a risk-neutral investor's perspective, higher current prices imply higher losses in case of default, which must be compensated, if markets are efficient. We call this...

This paper investigates how the stock market reacts to firm level liquidity shocks. We find that negative and persistent liquidity shocks not only lead to lower contemporaneous returns, but also predict negative returns for up to six months in the future. Long-short portfolios sorted on past...

Economists often say that certain types of assets, e.g., Treasury bonds, are very 'liquid'. Do they mean that these assets are likely to serve as media of exchange or collateral (a definition of liquidity often employed in monetary theory), or that they can be easily sold in a secondary market,...

We model the learning process of market traders during the unprecedented COVID-19 event. We introduce a behavioral heterogeneous agents' model with bounded rationality by including a correction mechanism through representativeness (Gennaioli et al., 2015). To inspect the market crash induced by...

Data envelopment analysis (DEA) is a nonparametric method from the area of operationsresearch that measures the relationship of produced outputs to assignedinputs and determines an efficiency score. This efficiency score can be interpretedas a performance measure in investment analysis. Recent...

As early as the 1970s, European Union (EU) member countries implemented rulesto coordinate insurance markets and regulation. However, with the more recentmovement toward a general single EU market, financial services regulation hastaken on new meaning and priority. Solvency I regulations went...

We examine here the risk-adjusted performance of European mutual funds offered in Germany which invest in euro-denominated investment grade corporate bonds. The funds are evaluated employing a single-index model and several multi-index and asset-class-factor models. In order to account for the...