Cybersecurity Risk

Working Paper: NBER ID: w28196

Authors: Chris Florackis; Christodoulos Louca; Roni Michaely; Michael Weber

Abstract: Using textual analysis and comparing cybersecurity-risk disclosures of firms that were hacked to others that were not, we propose a novel firm-level measure of cybersecurity risk for all US-listed firms. We then examine whether cybersecurity risk is priced in the cross-section of stock returns. Portfolios of firms with high exposure to cybersecurity risk outperform other firms, on average, by up to 8.3% per year. At the same time, high-exposure firms perform poorly in periods of high cybersecurity risk. Reassuringly, the measure is higher in information-technology industries, correlates with characteristics linked to firms hit by cyberattacks, and predicts future cyberattacks.

Keywords: No keywords provided

JEL Codes: G14; G31


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
cybersecurity risk disclosures (K24)stock returns (G12)
higher cybersecurity risk scores (K24)future cyberattacks (K24)
cybersecurity risk exposure (K24)stock performance during heightened risk (G17)
higher risk scores (D81)negative cumulative abnormal returns (G12)

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