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Ingo Fiedler
Researcher at University of Hamburg
Publications - 48
Citations - 714
Ingo Fiedler is an academic researcher from University of Hamburg. The author has contributed to research in topics: Cryptocurrency & Computer science. The author has an hindex of 13, co-authored 41 publications receiving 398 citations. Previous affiliations of Ingo Fiedler include Concordia University Wisconsin & Concordia University.
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Blockchain-Based ICOs: Pure Hype or the Dawn of a New Era of Startup Financing?
TL;DR: In this paper, the authors explored the determinants of initial coin offering (ICO) success, where success is defined as the amount of capital a project could raise, and found that ICOs exhibit similarities to classical crowdfunding and venture capital markets.
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Blockchain and energy: A bibliometric analysis and review
TL;DR: The intersection of blockchain and energy is analyzed based on the underlying references of 166 publications via co-citation analysis, indicating a high degree of homogeneity in this field of research.
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The influence of stablecoin issuances on cryptocurrency markets
TL;DR: In this article, the authors analyzed returns of cryptocurrencies around 565 stablecoin issuances events for seven different stablecoins between April 2019 and March 2020, revealing market downturns in the week before issuance and positive abnormal returns in the twenty-four hours around the issuance.
Posted Content
Quantifying Skill in Games - Theory and Empirical Evidence for Poker
Ingo Fiedler,Jan-Philipp Rock +1 more
TL;DR: In this paper, the authors derived the critical repetition frequency (CRF) of games, defined as the threshold between a game that is predominantly influenced by chance or skill and is valid for all games.
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Gambling spending and its concentration on problem gamblers
TL;DR: In this article, the authors investigated the relationship between the effect of problem gambling and excessive and disproportionate spending by gamblers in three different jurisdictions: France, Quebec, and Germany, and found strong positive relationships between the GINI coefficient and the share of revenue derived from problem gamblers, and excess spending of gamblers.