5 papers
Clustering doc2vec output for topic-dimensionality reduction: A MITRE ATT&CK calibration
Nathan Monnet, Loïc Maréchal, Julian Jang-Jaccard +1
We introduce a novel approach to text classification by combining doc2vec embeddings with advanced clustering techniques to improve the analysis of specialized, high-dimensional te…
Disentangling the sources of cyber risk premia
Loïc Maréchal, Nathan Monnet
We use a methodology based on a machine learning algorithm to quantify firms' cyber risks based on their disclosures and a dedicated cyber corpus. The model can identify paragraphs…
Cyber risk and the cross-section of stock returns
Daniel Celeny, Loïc Maréchal
We extract firms' cyber risk with a machine learning algorithm measuring the proximity between their disclosures and a dedicated cyber corpus. Our approach outperforms dictionary m…
Measuring the performance of investments in information security startups: An empirical analysis by cybersecurity sectors using Crunchbase data
Loïc Maréchal, Alain Mermoud, Dimitri Percia David +1
Early-stage firms play a significant role in driving innovation and creating new products and services, especially for cybersecurity. Therefore, evaluating their performance is cru…
Prioritizing Investments in Cybersecurity: Empirical Evidence from an Event Study on the Determinants of Cyberattack Costs
Daniel Celeny, Loïc Maréchal, Evgueni Rousselot +2
Along with the increasing frequency and severity of cyber incidents, understanding their economic implications is paramount. In this context, listed firms' reactions to cyber incid…