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Corporate failure prediction: An evaluation of deep learning vs discrete hazard models · Study

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ArticleCorporate failure prediction: An evaluation of deep learning vs discrete hazard models

Nurul Alam2021

Article2021

Corporate failure prediction: An evaluation of deep learning vs discrete hazard models

Nurul Alam · Junbin Gao · Stewart Jones

32 citations·0/0 files stored·Journal of International Financial Markets Institutions and Money

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Financial Distress and Bankruptcy Prediction Corporate Insolvency and Governance Stock Market Forecasting Methods

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References

1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY 1974ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES*1980Financial Ratios and the Probabilistic Prediction of Bankruptcy 1966Financial Ratios As Predictors of Failure 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models 2001Forecasting Bankruptcy More Accurately: A Simple Hazard Model 2008Forecasting Default with the Merton Distance to Default Model 1977ZETATM analysis A new model to identify bankruptcy risk of corporations

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Year2021

Typearticle

Published2021-10-21

VenueJournal of International Financial Markets Institutions and Money

ISSN-L1042-4431

Languageen

Citations32

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.intfin.2021.101455

openalex_workW3207190011

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