The “Musk Effect” – How Elon Musk’s tweets affect the cryptocurrency market

Based on an analysis of Elon Musk's recent crypto-related tweets, it is identified that some of them strongly influenced the short-term returns and trading volume of Bitcoin and Dogecoin. The results illustrate the influence of influential individuals on cryptocurrency markets.

Enterprise DLT: The Leaky Trust Machine

Distributed Ledger Technology (DLT) comes with the promise of creating trust by technological means. While non-DLT systems often have a central operator who enjoys complete authority and little oversight, DLT systems use mechanisms like data replication and consensus algorithms to distribute control among a group of (hopefully) independent validators.

2020-12-11T11:12:11+02:00December 11th, 2020|Blockchain|

How do Stablecoin Issuances affect Cryptocurrency Markets?

Stablecoins are digital currencies whose value is pegged to fiat currencies like the dollar. We analyze the influence of stablecoin issuances on the returns of major cryptocurrencies and conclude that stablecoins contribute to price discovery and market efficiency of cryptocurrencies.

Investigating the Market Reaction to Large Transactions on the Bitcoin Blockchain

A specific feature of the blockchain technology and thus also of the Bitcoin network is the underlying transparency. Each network participant can observe in virtually real time how many and what kind of transactions take place in the Bitcoin...

A Week With Bitcoin: Transaction Timing and Transaction Fees

This third and last blog post takes a look at intra-week patterns of Bitcoin activity. The following chart shows transactions and fees aggregated by weekday and hour. Activity was high on workdays and on afternoons, and low on weekends and on early mornings. The same is true for transaction fees...

A Place Next to Satoshi: Scientific Foundations of Blockchain and Cryptocurrency in Business and Economics

The research foundations of blockchain and cryptocurrencies in business and economics are analyzed using co-citation analysis. Five strands of research are identified, reviewed and visualized, of which two are well-established and three are still emerging.

Discovering market prices: Which price formation model best predicts the next trade?

For most purposes of technical analysis, the price of the last transaction is considered representative of the market price. However, on closer examination, the question arises as to why a past event should be relevant to the future, and why other, potentially more recent information should not be used to discover a future price.

Go to Top