Do Financial Markets Understand Cybersecurity: Evidence from a Direct Measure of Firm Network Vulnerabilities

72 Pages Posted: 19 Feb 2021 Last revised: 29 May 2026

See all articles by Tim Liu

Tim Liu

University of Utah - David Eccles School of Business

Christos Makridis

Arizona State University (ASU) - W.P. Carey School of Business; The Gallup Organization; Stanford University - Stanford Institute for Human-Centered Artificial Intelligence; Institute for the Future (IFF), Department of Digital Innovation, School of Business, University of Nicosia

Date Written: December 20, 2023

Abstract

Despite the growing importance of cybersecurity, measuring cybersecurity exposures has proven challenging. Existing methods rely on textual and statistical analysis of firm disclosures, which require managers to have accurate appraisals of cybersecurity risks and disclose these risks in an unbiased manner. We introduce a novel firm-level measure of cybersecurity exposures that counts the number of network ports accessible from the public internet, sidestepping the need to rely on managerial reporting. Our process replicates “port scans,” a technique hackers implement to identify vulnerable firms. We find that cybersecurity exposures predict future realized breaches. High cybersecurity exposure stocks underperform other stocks by 0.33% per month. Our findings differ from studies relying on disclosure-based measures of cybersecurity exposures, which find cybersecurity risk to be priced (higher exposures predicting higher returns). Our study highlights the cost of cybersecurity exposures and provides guidance to managers and investors in identifying potential exposures. 

Keywords: Abnormal Returns, Cybersecurity, Data breaches, Asset pricing, Cyber vulnerabilities, Productivity

JEL Classification: G12, G14, G41, H23, H56

Suggested Citation

Liu, Tim and Makridis, Christos, Do Financial Markets Understand Cybersecurity: Evidence from a Direct Measure of Firm Network Vulnerabilities (December 20, 2023). Available at SSRN: https://ssrn.com/abstract=3746589 or http://dx.doi.org/10.2139/ssrn.3746589

Tim Liu

University of Utah - David Eccles School of Business ( email )

1645 E Campus Center Dr
Salt Lake City, UT 84112-9303
United States

Christos Makridis (Contact Author)

Arizona State University (ASU) - W.P. Carey School of Business ( email )

Tempe, AZ 85287-3706
United States

The Gallup Organization ( email )

Washington, DC 20004
United States

Stanford University - Stanford Institute for Human-Centered Artificial Intelligence ( email )

210 Panama St.
Cordura Hall
Stanford, CA 94305
United States

Institute for the Future (IFF), Department of Digital Innovation, School of Business, University of Nicosia ( email )

Nicosia, 2417
Cyprus

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