Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Corporate Default Forecasting with Machine Learning

7 references·6 citing·38 second hop

FromToDepth

this work references cited by second hop

References

1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
2017Machine learning models and bankruptcy prediction952 cited
2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
2016Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐ Score Model843 cited
1983Corporate financial distress : a complete guide to predicting, avoiding, and dealing with bankruptcy561 cited
2010The Performance of Credit Rating Systems in the Assessment of Collateral Used in Eurosystem Monetary Policy Operations104 cited
2019Predicting Consumer Default: A Deep Learning Approach81 cited

Cited by

2021Data Science for Economics and Finance42 cited
2024Credit Risk Prediction Using Explainable AI21 cited
2024A Multi-Head LSTM Architecture for Bankruptcy Prediction with Time Series Accounting Data12 cited
2023Loan Default Prediction Based on Machine Learning Methods11 cited
2022Machine Learning for Zombie Hunting: Predicting Distress from Firms' Accounts and Missing Values11 cited
2020Machine Learning for Zombie Hunting. Firms' Failures and Financial Constraints11 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work