The stock market is characterized by extreme fluctuations, non-linearity, and shifts in internal and external environmental variables. Artificial intelligence (AI) techniques can detect such non-linearity, resulting in much-improved forecast results. This paper reviews 148 studies utilizing...

Event studies represent an increasingly popular method to evaluate (future) welfare effects of economic policy decisions. The basic idea is to hire the stock market as a referee, i.e. that stock market reactions to the announcement of policy decision are interpreted to contain superior...

Finanzanalysten üben wichtige Funktionen auf den Kapitalmärkten aus. Sie sind wesentlich am Anlageentscheidungsprozess potentieller Kapitalgeber beteiligt und beeinflussen mit ihren Tätigkeiten das Kapitalmarktgeschehen. Sowohl das generelle Forschungsdefizit auf dem deutschen Aktienmarkt als...

This dissertation is concerned with the forecasting performance of time series models for the price movements of high-frequency transaction data on the Frankfurt Stock Exchange. The availability of high quality data of this kind at an affordable cost makes it possible to investigate the...