Research Topic

Financial Distress and Bankruptcy Prediction

This cluster of papers focuses on the development and comparison of machine learning models, including neural networks, support vector machines, and ensemble methods, for predicting bankruptcy and assessing credit risk. The research explores various techniques for financial distress prediction, credit scoring, and risk assessment in both corporate and consumer contexts.

Works
35,572
Citations
259,413
Domain
Social Sciences
Field
Business, Management and Accounting
Subfield
Accounting
OpenAlex ID
T11653

Taxonomy Context

Social Sciences / Business, Management and Accounting / Accounting

Related Topics

Corporate Finance and GovernanceAuditing, Earnings Management, GovernanceFinancial Literacy, Pension, Retirement AnalysisIslamic Finance and Banking StudiesCorporate Taxation and AvoidancePrivate Equity and Venture CapitalFinancial Analysis and Corporate GovernanceRisk Management in Financial FirmsAccounting Education and CareersCorporate Insolvency and GovernanceWorking Capital and Financial PerformanceAccounting Theory and Financial Reporting