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A Multi-Head LSTM Architecture for Bankruptcy Prediction with Time Series Accounting Data
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A Multi-Head LSTM Architecture for Bankruptcy Prediction with Time Series Accounting Data (2024)A Multi-Head LSTM Architecture for Bankru…Journal of Business Economics and Management (2020)Journal of Business Economics…Machine learning models and bankruptcy prediction (2017)Machine learning models and b…Variable selection and corporate bankruptcy forecasts (2014)Variable selection and corpor…Prediction of financial distress: An empirical study of listed Chinese companies using data mining (2014)Prediction of financial distr…Multiperiod corporate default prediction—A forward intensity approach (2012)Multiperiod corporate default…Two credit scoring models based on dual strategy ensemble trees (2011)Two credit scoring models bas…A comparative assessment of ensemble learning for credit scoring (2010)A comparative assessment of e…Ensemble with neural networks for bankruptcy prediction (2009)Ensemble with neural networks…In Search of Distress Risk (2008)In Search of Distress RiskBankruptcy forecasting: An empirical comparison of AdaBoost and neural networks (2008)Bankruptcy forecasting: An em…An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)An experimental comparison of…An empirical comparison of bankruptcy models (1998)An empirical comparison of ba…Journal of the American Statistical Association (1995)Journal of the American Stati…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Neural network credit scoring models (2000)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities (2015)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis (2021)An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data (2012)Financial credit risk assessment: a recent review (2015)A comparative study on base classifiers in ensemble methods for credit scoring (2016)What's In A Name? Malay Seals As Onomastic Sources (2018)Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Machine Learning in Banking Risk Management: A Literature Review (2019)CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)Editor's Choice Digesting Anomalies: An Investment ApproachAdvances in prospect theory: Cumulative representation of uncertainty (1992)Common risk factors in the returns on stocks and bonds (1993)On Persistence in Mutual Fund Performance (1997)Forecasting Default with the Merton Distance to Default Model (2008)Digesting Anomalies: An Investment Approach (2012)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Environmental, social and governance disclosure and default risk (2021)ESG and Firm's Default Risk (2022)Trust, social capital, and the bond market benefits of ESG performance (2022)Moving to Opportunity in Boston: Early Results of a Randomized Mobility Experiment (2001)Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review: Table 1 (2001)The Relationship Between Education and Adult Mortality in the United States (2004)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Big data techniques in auditing research and practice: Current trends and future opportunities (2018)Deep learning models for bankruptcy prediction using textual disclosures (2018)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)
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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 1995Journal of the American Statistical Association5,359 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 2008In Search of Distress Risk2,232 cited
  • 2017Machine learning models and bankruptcy prediction952 cited
  • 2010A comparative assessment of ensemble learning for credit scoring501 cited
  • 2014Prediction of financial distress: An empirical study of listed Chinese companies using data mining479 cited
  • 2012Multiperiod corporate default prediction—A forward intensity approach365 cited
  • 2008An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring290 cited
  • 2008Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks290 cited
  • 2014Variable selection and corporate bankruptcy forecasts276 cited
  • 2009Ensemble with neural networks for bankruptcy prediction266 cited
  • 2011Two credit scoring models based on dual strategy ensemble trees244 cited
  • 1998An empirical comparison of bankruptcy models

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238 cited
  • 2020Journal of Business Economics and Management234 cited
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