This paper studies the effects of the introduction of the French financial transaction tax in August 2012. With the tax, the French government aims to generate revenues for financing the burdens of the financial crisis and to curb short-term trading. We find that the financial transaction tax...

We analyze the predictability of the bitcoin market across prediction horizons ranging from 1 to 60 min. In doing so, we test various machine learning models and find that, while all models outperform a random classifier, recurrent neural networks and gradient boosting classifiers are especially...

The trust-free nature of blockchain-based systems challenges the role of traditional platform providers and enables the creation of new, intermediary-free markets. Despite the growing number of such markets, the impact of the blockchain's configuration on market outcomes remains unclear. In this...

Despite a growing interest, researchers and practitioners still struggle to transfer the blockchain concept introduced by Bitcoin to market-oriented application scenarios. To shed light on the technology's usage in markets with asymmetric information, this study analyzes the effect of the...

We create a simulated financial market and examine the effect of different levels of active and passive investment on fundamental market efficiency. In our simulated market, active, passive, and random investors interact with each other through issuing orders. Active and passive investors select...

The study examines the predictability of S\&P 500 stock movements during the COVID-19 pandemic. It presents a comparative analysis of random forest and logistic regression models and evaluates the importance of different COVID-19-related features and control variables for the prediction task....