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...

The introduction of the Markets in Financial Instruments Directive (MiFID) ended the quasi-monopoly of traditional exchanges and enabled alternative platforms, so-called multilateral trading facilities (MTF), to compete for order flow. European regulation imposes neither a formal linkage nor a...

The introduction of the European Markets in Financial Instruments Directive (MiFID) ended the quasi-monopoly of national exchanges in equity trading across Europe and many new trading platforms emerged. European trading venues are neither formally linked by technology nor does regulation enforce...

How information is translated into market prices is still an open question. This paper studies the impact of newswire messages on intraday price discovery, liquidity, and trading intensity in an electronic limit order market. We take an objective ex-ante measure of the tone of a message to study...

The energy sector will undergo fundamental changes over the next ten years. Prices for fossil energy resources are continuously increasing, there is an urgent need to reduce CO2 emissions, and the United States and European Union are strongly motivated to become more independent from foreign...

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 employ and analyze various machine learning models for daily cryptocurrency market prediction and trading. We train the models to predict binary relative daily market movements of the 100 largest cryptocurrencies. Our results show that all employed models make statistically viable...