Articles

In 2017, the price of bitcoin skyrocketed and many investors wanted to participate in the crypto-hype. Hence, a lot of companies took the new opportunity to obtain financing by issuing crypto-assets in initial coin offerings instead of going the heavily regulated way through venture capital or initial public offerings. Besides valuable projects, many projects fail or turn out to be a scam. Retail investors are not aware of the potentially high risks of ICO investments. Regulators of most jurisdictions have not yet proposed new rules, but monitor the new phenomenon to gain insights. Many regulators stick to regulation in place and pursue case-by-case assessments in order to apply existing rules. This paper develops a taxonomy of crypto-assets based on academic literature and empirical data. The taxonomy covers embodied investor rights, security-like characteristics, and crypto-specific features being able to support regulators with their case-by-case assessment. The taxonomy helps regulators to classify crypto-assets allowing them to decide which characteristics are subject to regulation and whether new rules are necessary to ensure market integrity and investor protection. Further, the taxonomy is also designed to support issuers with the design of new crypto-assets helping them to understand which characteristics might be subject to regulation.

Information systems have facilitated the increase in relevance of financial markets. Nevertheless, the rise of the Internet has eased information-based financial market manipulations. In this study, we examine the phenomenon of stock touting during pump and dump campaigns, in which deceivers advertise stocks to profit from an increased price level. We observe that the positive prospects promised are not confirmed by corporate disclosures and financial news. Furthermore, manipulators select targeted financial instruments based on specific stock and company characteristics. Manipulators avoid signals of anomaly and prefer unknown stocks. We find that stock touting has a positive market impact but that it is followed by a large decline in stock price in the subsequent days, causing investors to lose substantial amounts of their investments. We consider the impact of information generation, information content and information presentation on the corresponding market reaction. Interestingly, information generation influences the demand for the stock, but information content and information presentation drive the willingness to pay. Our results are highly relevant for Internet users, software vendors and market surveillance authorities, as a deep understanding of such information-based manipulations is necessary to develop appropriate countermeasures.

The new financial market regulation MiFID II / MiFIR will fundamentally change the trading and market infrastructure landscape in Europe. One key aspect is the trading obligation for shares that intends to restrict over-the-counter (OTC) trading to ensure that more trading takes place on regulated trading venues and on platforms of Systematic Internalisers (SIs). In this context, market observers often argue that SIs might have a competitive advantage due to the best execution concept in combination with the possible exemption of SIs from the tick size regime. Applying scenario analysis, we determine the likely migration of OTC trading volume to regulated trading venues and SIs. Based on our data set, covering intraday data including OTC trades as well as order book snapshots of EURO STOXX 50 constituents on major European venues, we investigate how changes in trading volume influence liquidity on lit markets. The results of our scenario analysis indicate that liquidity on lit markets might increase due to additional turnover formerly traded OTC. However, also a negative liquidity effect for lit markets and for the price discovery process is possible because of increased trading via SIs.