In this paper we propose a new bootstrap, or Monte-Carlo, approach to such problems. Traditional bootstrap methods in this context are based on fitting a process chosen from a wide but relatively conventional range of discrete time series models, including autoregressions, moving averages,...

This study examines the relation of stock returns and the announcements on verified emissions in the European Emission Trading Scheme (EU ETS). In a first step we employ event study methods to detect possibly abnormal returns on the respective announcement dates using a sample of quoted stock...

Demand is growing for a better understanding of how assets are priced in countries outside of the U.S. While financial data are available for many firms world-wide, it is important to have a reliable and replicable method of constructing high-quality systematic risk factors from these data. This...

This study examines the relation of stock returns and the announcements on verified emissions in the European Emission Trading Scheme (EU ETS). In a first step we employ event study methods to detect possibly abnormal returns on the respective announcement dates using a sample of quoted stock...

A major application of rescaled adjusted range analysis (RS analysis) is the study of price fluctuations in financial markets. There, the value of the Hurst constant, H, in a time series may be interpreted as an indicator of the irregularity of the price of a commodity, currency or similar...

A major obstacle for research in international asset pricing and corporate finance has been a lack of reliable and publicly available data on international common risk factors and portfolios. To address this gap, we provide a step-by-step description of how appropriately screened data from...