Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

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

Prediction of financial distress in the Spanish banking system

16 references·6 citing·31 second hop

FromToDepth

this work references cited by second hop

References

1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
1966Financial Ratios As Predictors of Failure4,753 cited
1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models2,889 cited
1972A Discriminant Analysis of Predictors of Business Failure1,168 cited
2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
1994Bankruptcy prediction using neural networks722 cited
2014Prediction of financial distress: An empirical study of listed Chinese companies using data mining479 cited
1993Forecasting with neural networks432 cited
2013Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches394 cited
2007A neural network approach for credit risk evaluation350 cited
2013Predicting distress in European banks312 cited
1998Predicting Bank Failures: A Comparison of On- and Off-Site Monitoring Systems277 cited
1999Determinants of Ex-Ante Banking System Distress260 cited
2006

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

Predicting corporate financial distress based on integration of support vector machine and logistic regression

229 cited

2016Capital and liquidity ratios and financial distress. Evidence from the European banking industry214 cited

Cited by

2021An Optimal Model of Financial Distress Prediction: A Comparative Study between Neural Networks and Logistic Regression47 cited
2020Sustainability in the Banking Sector: A Predictive Model for the European Banking Union in the Aftermath of the Financial Crisis42 cited
2021Application of artificial neural networks in predicting financial distress in the JSE financial services and manufacturing companies38 cited
2023Is artificial intelligence and machine learning changing the ways of banking: a systematic literature review and meta analysis34 cited
2024Bank failure prediction models: Review and outlook27 cited
2023Financial distress in the banking industry: A bibliometric synthesis and exploration23 cited