Financial Vulnerability Identification for A-share Listed Real Estate Firms
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Updated
Jun 18, 2026 - Python
Financial Vulnerability Identification for A-share Listed Real Estate Firms
Machine learning project predicting financial distress risk (Low/Medium/High) for gig economy workers — delivery partners, ride-hailing drivers, and platform-based workers — using demographic, income, expense, savings, and well-being data. Built with pandas, scikit-learn, and statsmodels.
Reproducibility package analyzing whether financial liquidity buffers reduce foot-and-mouth disease–related income vulnerability among mixed-species smallholder farms in Samsun, Türkiye.
Analysis of financial diary data reflecting people's experiences of energy insecurity in Great Britain over a five-month period from January to May 2023
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