Ensemble machine learning reveals insights on corporate financial performance in Russian firms, indicating vulnerabilities due to geopolitical changes.
Key Points
Corporate financial performance notably declined from 28% to 15% in certain sectors post-sanctions, showcasing vulnerabilities.
Analysis involved 25 large firms and utilized machine learning techniques to address modeling challenges from geopolitical disruptions.
Ensemble machine learning and SHAP helped clarify effects of CSR and R&D investment under evolving institutional conditions.
The work highlights the fragility of intangible assets during systemic shocks, prompting calls for adaptive resource allocation strategies.