AI Intensity and Cyber Risk Data for Public Firms

A replication package for a corporate finance study on cyber risk and AI firms includes public firm-year AI-intensity data. The package contains source data for published figures and code for regression tables, alongside a synthetic panel for testing. It was created by Kumar Rishabh, Roxana Mihet, and Julian Jang-Jaccard for the Review of Corporate Finance Studies.

Use Cases

• Replicate regression analyses based on the AI-intensity data and code provided
• Validate figure generation using the included source data
• Test analysis workflows with the synthetic firm-year panel
• Study the relationship between AI adoption and cyber risk at the firm level

Strengths

• Includes a synthetic firm-year panel for code testing and structure verification
• Provides source data for all published figures from the original study

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• The merged CRSP-Compustat/WRDS regression panel and other licensed inputs are not redistributed

Provenance

Source

Review of Corporate Finance Studies Dataverse

Collection Method

Likely compiled from public sources and licensed databases for academic research

Freshness

Last updated 2026-05-26 15:19:21