Moncada, Roberto;
Ferro, Enrico;
Fiaschetti, Maurizio;
Medda, Francesca;
(2024)
Blockchain Tokens, Price Volatility, and Active User Base: An Empirical Analysis Based on Tokenomics.
International Journal of Financial Studies
, 12
(4)
, Article 107. 10.3390/ijfs12040107.
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Abstract
Blockchain tokens have accumulated tremendous market value but remain highly controversial, given their price volatility and seemingly speculative nature. Ironically, this very characteristic can foster token retention as users wait for occasions of appreciation. In this paper, we conduct an empirical analysis with 58 tokens in two steps: first, an investigation of the drivers of user activity and token price volatility using a new blockchain token classification framework, searching for possible tokenomics links. Our findings suggest that there is an intrinsic relationship between the way tokens are used as a means of exchange and how token usage dynamics influence user engagement oppositely to market stability. Only some features, such as earning potential and voting rights, foster token-holding strategies, while only Ethereum ecosystem membership has positive effects on price volatility. Second, we analyze the direct relationship between price volatility and active users. Results show that, on average, a 10% increase in volatility is related to a decrease in active addresses ranging between 3.96% and 5.88%. The finding is supportive of the hypothesis that token price volatility may be treated as an opportunity to increase token retention.
| Type: | Article |
|---|---|
| Title: | Blockchain Tokens, Price Volatility, and Active User Base: An Empirical Analysis Based on Tokenomics |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3390/ijfs12040107 |
| Publisher version: | https://doi.org/10.3390/ijfs12040107 |
| Language: | English |
| Additional information: | : © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). |
| Keywords: | tokens; blockchain; price volatility; active user base; tokenomics |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10198913 |
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