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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorAddo, Kwabena Aboah
dc.contributor.authorRossi, Ludovica
dc.date.accessioned2025-09-01T00:02:08Z
dc.date.available2025-09-01T00:02:08Z
dc.date.issued2025
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/50215
dc.description.abstractWith increasing attention from institutional investors, crypto assets are now a synonym of Decentralized Finance characterized by extreme volatility and staggering growth. Several jurisdictions have been continuously trying to tax these peculiar assets since 2018: after seven years we will try to evaluate the market reaction to some of these policies. In this paper we will try to assess whether we can observe a trend in crypto asset prices after taxation announcements, and if changes in prices influence sentiment. To answer these questions, we first implemented a crypto event study following the methodology of Fama, French, Chokor and Alfieri, completed by a sentiment analysis using the VADER model. At the end of our study, we found evidence that taxation announcements trigger negative cumulative abnormal returns but also that sentiment has predictive power over aggregate price change and Bitcoin price change, despite not showing a significant trend after taxation announcements.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectWe found out that crypto prices reacted negatively after the 20 announcements in our sample, validating our H1a, and that Reddit sentiment Granger caused aggregate price change with a three-day lag, validating our H2. The magnitude of investor response is driven more by market-specific characteristics such as illiquidity, rather than the economic power of the regulatory issuer. Moreover, sentiment has the potential to be a powerful decision-making tool to predict aggregate price movements.
dc.titleInvestor Reaction before and after Crypto Asset Taxation Announcements
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordscrypto; tax; crypto taxation; sentiment analysis
dc.subject.courseuuBanking and Finance
dc.thesis.id50267


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