The unpredictability of returns counts as a stylized fact of financial markets. To reproduce this fact, modelers usually implement noise terms - a method with several downsides. Above all, systematic patterns are not eliminated but merely blurred. The present article introduces a model in which...

High frequency computer-based trading (HFT) represents a challenging topic nowadays, mainly due to the controversy it creates among investors on the financial market. The hereto paper uses two types of agent-based models, one with zero-intelligence traders and the other with intelligent traders...

While most studies examine the impact of business confidence on market performance, we instead focus on the consumer because consumer spending habits are a natural extension of trading activity on the equity market. This particular study examines investor sentiment as measured by the Consumer...

WThis doctoral thesis focuses on the effects of investor sentiment on asset pricing and the challenges of portfolio optimization under parameter uncertainty. The first essay "Sentiment risk premia in the cross-section of global equity" applies a recently developed sentiment proxy to the...

This paper analyzes stock returns for biotechnology firms after initial public offering (IPO) and explores the effect of social media-specifically, Twitter-on these returns. The results indicate positive yet insignificant cumulative average abnormal returns (CAARs) of 1.97% in the first 25 days...

The dissertation focuses on noise traders in financial markets. The first part considers a Rational Expectations equilibrium (REE) model based an Hellwig (1980) and Grossman ans Stiglitz (1980). The aim of this part is to analyze the performance of noise traders by considering expected final...