Hybrid Bankruptcy Dataset for Indian Firms (2015–2019)

This dataset accompanies the manuscript Forecasting Corporate Bankruptcy in India: A Hybrid Model Integrating Financial Ratios, Macroeconomic Indicators, and Machine Learning, submitted to Investment Management and Financial Innovations.

It contains 100 firm-year observations covering 20 Indian firms (10 bankrupt and 10 healthy peers) over the period 2015–2019. The dataset integrates:

Firm-level financial ratios: Debt-to-Equity Ratio, Current Ratio, Return on Assets (ROA), Net Profit Margin.

Macroeconomic indicators: GDP Growth (%), Inflation (%), Interest Rate (%).

Firm status: Bankrupt or Healthy, based on bankruptcy filings or sector-matched controls.

The dataset is designed to enable replication of the hybrid bankruptcy prediction framework developed in the study, which combines logistic regression and random forest machine learning techniques to forecast bankruptcy risk.

All values are structured and normalized for comparative analysis across firms and years. While the dataset is a curated/simulated reconstruction aligned with reported cases of corporate failure in India (2012–2021), it reflects the patterns, ratios, and macroeconomic conditions described in the manuscript.