The Impact of GDPR Infringement Fines on the Market Value of Firms

Conference paper


Ford, A., Al-Nemrat, A., Ghorashi, S. and Davidson, J. 2021. The Impact of GDPR Infringement Fines on the Market Value of Firms. ECCWS 2021- Proceeding of the 20th European Conference on Cyber Warfare and Security. 24 - 25 Jun 2021 Academic Conferences International (ACI). https://doi.org/10.34190/EWS.21.088
AuthorsFord, A., Al-Nemrat, A., Ghorashi, S. and Davidson, J.
TypeConference paper
Abstract

Previous studies have shown (varying degrees of) evidence of a negative impact of data breach announcements on the share price of publicly listed companies. Following on from this research, further studies have been carried out in assessing the economic impact of the introduction of legislation in this area to encourage firms to invest in cyber security and protect the privacy of data subjects. Existing research has been predominantly US-centric. This paper looks at the impact of the General Data Protection Regulation (GDPR) infringement fine announcements on the market value of mostly European publicly listed companies with a view to reinforcing the importance of data privacy compliance, thereby informing cyber security investment strategies for organisations. Using event study techniques, a dataset of 25 GDPR fine announcement events was analysed, and statistically significant cumulative abnormal returns (CAR) of around-1% on average up to three days after the event were identified. In almost all cases, this negative economic impact on market value far outweighed the monetary value of the fine itself, and relatively minor fines could result in major market valuation losses for companies, even those having large market capitalisations. A further dataset of four announcements where sizeable GDPR fines were subsequently appealed was also analysed and although positive returns for successful appeals were observed (and the reverse), they could not be shown to be statistically significant-perhaps due, at least in part, to COVID-19 related market volatility at that time. This research would be of benefit to business management, practitioners of cyber security, investors and shareholders as well as researchers in cyber security or related fields (pointers to future research are given). Data protection authorities may also find this work of interest.

Year2021
ConferenceECCWS 2021- Proceeding of the 20th European Conference on Cyber Warfare and Security
PublisherAcademic Conferences International (ACI)
Publisher's version
License
File Access Level
Anyone
Publication dates
Print25 Jun 2021
Publication process dates
Deposited30 Nov 2021
Journal citationpp. 473-481
ISSN2048-8610
2048-8602
Book titleECCWS 2021: Proceeding of the 20th European Conference on Cyber Warfare and Security
Book editorEze, T.
ISBN978-1-912764-43-3
978-1-912764-99-0
Digital Object Identifier (DOI)https://doi.org/10.34190/EWS.21.088
Web address (URL)https://www.academic-bookshop.com/ourshop/prod_7595390-ECCWS-2021-PDF-VERSION-Proceeding-of-the-20th-European-Conference-on-Cyber-Warfare-and-Security.html
Copyright holder© 2021 The Authors
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ARP cache poisoning mitigation and forensics investigation
Mangut, Heman Awang, Al-Nemrat, A., Benzaid, Chafika and Tawil, Abdel-Rahman H. 2015. ARP cache poisoning mitigation and forensics investigation. in: 2015 IEEE Trustcom/BigDataSE/ISPA IEEE. pp. 1392-1397
Cybercrime Profiling: Decision-Tree Induction, Examining Perceptions of Internet Risk and Cybercrime Victimisation
Al-Nemrat, A. and Benzaid, Chafika 2015. Cybercrime Profiling: Decision-Tree Induction, Examining Perceptions of Internet Risk and Cybercrime Victimisation. in: 2015 IEEE Trustcom/BigDataSE/ISPA IEEE. pp. 1380-1385
Intelligent Detection of MAC Spoofing Attack in 802.11 Network
Benzaid, Chafika, Boulgheraif, Abderrahman, Dahmane, Fatma Zohra, Al-Nemrat, A. and Zeraoulia, Khaled 2016. Intelligent Detection of MAC Spoofing Attack in 802.11 Network. in: Proceedings of the 17th International Conference on Distributed Computing and Networking Association for Computing Machinery (ACM).
Forensic Malware Analysis: The Value of Fuzzy Hashing Algorithms in Identifying Similarities
Sarantinos, Nikolaos, Benzaid, Chafika, Arabiat, Omar and Al-Nemrat, A. 2017. Forensic Malware Analysis: The Value of Fuzzy Hashing Algorithms in Identifying Similarities. in: 2016 IEEE Trustcom/BigDataSE/ISPA IEEE. pp. 1782-1787
A Scalable Malware Classification based on Integrated Static and Dynamic Features
Bounouh, Tewfik, Brahimi, Zakaria, Al-Nemrat, A. and Benzaid, Chafika 2017. A Scalable Malware Classification based on Integrated Static and Dynamic Features. 11th International Conference on Global Security, Safety, and Sustainability (ICGS3) 2017. London, UK 18 - 20 Jan 2017 Springer International Publishing. https://doi.org/10.1007/978-3-319-51064-4_10
Digital dangers and cyber-victimisation: a study of European adolescent online risky behaviour for sexual exploitation
DeMarco, Jeffrey, Cheevers, Carly, Davidson, Julia, Bogaerts, Stefan, Pace, Ugo, Aiken, Mary, Caretti, Vincenzo, Schimmenti, Adriano and Bifulco, Antonia 2017. Digital dangers and cyber-victimisation: a study of European adolescent online risky behaviour for sexual exploitation. Clinical Neuropsychiatry. 14 (1), pp. 104-112.
Fast authentication in wireless sensor networks
Benzaid, Chafika, Lounis, Karim, Al-Nemrat, A., Badache, Nadjib and Alazab, Mamoun 2014. Fast authentication in wireless sensor networks. Future Generation Computer Systems. 55, pp. 362-375.
Enhancing police and industry practice
Davidson, Julia, DeMarco, Jeffrey, Bifulco, Antonia, Bogaerts, Stefan, Caretti, Vincenzo, Aiken, Mary, Chevers, Carly, Corbari, Elisa, Scally, Mia, Schimmenti, Adriano and Puccia, Angelo 2016. Enhancing police and industry practice. Middlesex University.
Youth pathways into cybercrime
Aiken, M., Davidson, J. and Amann, Philippe 2016. Youth pathways into cybercrime. Paladin Capital Group.
The prevalence, nature, and impact of intrafamilial child sexual abuse: findings from a rapid evidence assessment
Gekoski, Anna, Davidson, J. and Horvath, Miranda A. H. 2016. The prevalence, nature, and impact of intrafamilial child sexual abuse: findings from a rapid evidence assessment. Journal of Criminological Research, Policy and Practice. 2 (4), pp. 231-243. https://doi.org/10.1108/JCRPP-05-2016-0008
An Analysis of Honeypot Programs and the Attack Data Collected
Moore, C. and Al-Nemrat, A. 2015. An Analysis of Honeypot Programs and the Attack Data Collected. in: Jahankhani, Hamid, Carlile, Alex, Akhgar, Babak, Taal, Amie, Hessami, Ali G. and Hosseinian-Far, Amin (ed.) Global Security, Safety and Sustainability: Tomorrow's Challenges of Cyber Security Springer International Publishing.
Statistical Sampling Approach to Investigate Child Pornography Cases
Sarantinos, N., Al-Nemrat, A. and Naeem, U. 2013. Statistical Sampling Approach to Investigate Child Pornography Cases. 2013 Fourth Cybercrime and Trustworthy Computing Workshop (CTC). Sydney NSW, Australia 21 - 22 Nov 2013 IEEE. https://doi.org/10.1109/CTC.2013.14