Replication data and code for “Rethinking Training History in Financial Distress Forecasting: The Case of AI Adoption”
Published: 12 November 2026| Version 1 | DOI: 10.17632/tzhds5nmnk.1
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Description
This replication package accompanies the paper “Rethinking Training History in Financial Distress Forecasting: The Case of AI Adoption.” It provides prepared modelling datasets, R code, heterogeneity metadata, and instructions for evaluating six classifiers with and without AI indicators across alternative training histories and test years.
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Institutions
- Matej Bel UniversityBanská Bystrica Region, Banská Bystrica
- Hong Kong Baptist UniversityHong Kong
- Liaoning UniversityLiaoning, Shenyang
- Prince Mohammad bin Fahd UniversityEastern Province, Khobar
Categories
Finance, Artificial Intelligence, Machine Learning