Cross-Listings of Blockchain-Based Tokens Issued Through Initial Coin Offerings: Do Liquidity and Specific Cryptocurrency Exchanges Matter?

Blockchain technology has become an ubiquitous phenomenon. While the topic originated in computer science, the business and economics literature was comparatively slow to pick up on it. To better understand the academic basis, current developments and future research avenues of the discourse, 9672 cited references of 467 blockchain and cryptocurrency articles from the fields of business and economics are gathered from the Web of Science Core Collection and are analyzed. Five major strands of research are identified through factor analysis. They are reviewed and their interrelation is mapped using social network analysis. Research on (I) market efficiency and economics and (II) asset pricing and valuation is relatively mature and focuses on cryptocurrencies, while research on (III) the principles and applications of blockchain technology, (IV) transactions and anonymity and (V) monetary theory and policy lacks maturity. Potential paths for future research are pointed out and in conclusion, it is assessed that this young field of research still leaves plenty of room for manoeuvre. A scientific place next to Nakamoto (2008) is still available for existing, emerging and new research streams.

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Effects of initial coin offering characteristics on cross-listing returns

Meyer¹,

Ante

2020

Digit Finance

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The low level of regulation and publication requirements in cryptocurrency markets leads to little information on cryptocurrency projects being publicly available. Against the background of high information asymmetry, the interpretation of the available information is all the more important. This paper examines how initial coin offering (ICO) characteristics affect cross-listing returns, i.e. whether or not available information is a valuable market signal of quality. For this purpose, we analyze 250 cross-listings of 135 different tokens issued via ICOs and calculate abnormal returns for specific samples using event study methodology. We find that cross-listing returns are driven by success in terms of token performance and project funding, as well as by jurisdiction-specific characteristics like the extent of regulation and domestic market size. Other characteristics such as the choice or change of blockchain infrastructure, token distribution across investors and the project team, campaign duration and whitepaper characteristics also seem to influence perceived project quality and thus cross-listing returns. The results contribute to the literature on cross-listings, cryptocurrency markets and entrepreneurial finance in the form of ICOs. They also make it possible to interpret the information available on the market and enable investors, project teams and cryptocurrency exchanges to evaluate probable market reactions to cross-listings.

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Cross-Listings of Blockchain-Based Tokens Issued Through Initial Coin Offerings: Do Liquidity and Specific Cryptocurrency Exchanges Matter?

Cited by 4 publications

References 41 publications

Applications of Digital Technologies and Artificial Intelligence in Cryptocurrency ‐ A Multi‐Dimensional Perspective

Applications of Digital Technologies and Artificial Intelligence in Cryptocurrency ‐ A Multi‐Dimensional Perspective

A place next to Satoshi: foundations of blockchain and cryptocurrency research in business and economics

Effects of initial coin offering characteristics on cross-listing returns

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