High-Profile GDPR Fines and Their Financial Impact on Listed Firms: An Exploratory Analysis
Albina Orlando () and
Serena Pulcini ()
Additional contact information
Albina Orlando: Consiglio Nazionale delle Ricerche (CNR), Istituto per le Applicazioni del Calcolo
Serena Pulcini: Consiglio Nazionale delle Ricerche (CNR), Istituto per le Applicazioni del Calcolo
A chapter in New Perspectives in Mathematical and Statistical Methods for Actuarial Sciences and Finance, 2025, pp 226-237 from Springer
Abstract:
Abstract This study investigates the short-term market impact of General Data Protection Regulation (GDPR) enforcement actions on publicly listed firms using an event study methodology. In the context of the GDPR’s stringent compliance framework—enforced since May 25, 2018—monetary sanctions act as adverse information signals with potential implications for firm valuation. Focusing on high-profile enforcement cases involving fines exceeding one million euros, this analysis evaluates whether data privacy violations produce statistically significant abnormal returns. The methodology combines a window-based approach, identifying the most sensitive time intervals, with an event-specific analysis that captures heterogeneity in company reactions. A cluster analysis further highlights divergent response patterns, distinguishing firms more exposed to reputation and regulatory risk from those exhibiting greater market resilience. The results offer empirical insights into investor behavior in the face of data protection breaches.
Keywords: GDPR enforcement; data privacy violations; event study; abnormal returns (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-05551-4_20
Ordering information: This item can be ordered from
http://www.springer.com/9783032055514
DOI: 10.1007/978-3-032-05551-4_20
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().