Investigation of financial distress with a dynamic logit based on the linkage between liquidity and profitability status of listed firms
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Petros Kalantonis | Apostolos G. Christopoulos | Ioannis G. Dokas | Theodora Koukkou | A. Christopoulos | P. Kalantonis | Theodora Koukkou
[1] Constantin Zopounidis,et al. Business failure prediction using rough sets , 1999, Eur. J. Oper. Res..
[2] W. Beaver,et al. Have Financial Statements Become Less Informative? Evidence from the Ability of Financial Ratios to Predict Bankruptcy , 2004 .
[3] Koen Vanhoof,et al. Bankruptcy prediction using a data envelopment analysis , 2004, Eur. J. Oper. Res..
[4] W. Beaver. Financial Ratios As Predictors Of Failure , 1966 .
[5] Martin Niemann,et al. Improving performance of corporate rating prediction models by reducing financial ratio heterogeneity. , 2008 .
[6] J. Campbell,et al. In Search of Distress Risk , 2006, SSRN Electronic Journal.
[7] Deron Liang,et al. Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study , 2016, Eur. J. Oper. Res..
[8] Ming-Chang Lee,et al. Business Bankruptcy Prediction Based on Survival Analysis Approach , 2014 .
[9] Tyler Shumway. Forecasting Bankruptcy More Accurately: A Simple Hazard Model , 1999 .
[10] Zulridah Mohd Noor,et al. Corporate Governance and Corporate Failure: a Survival Analysis , 2022 .
[11] Vineet Agarwal,et al. Are hazard models superior to traditional bankruptcy prediction approaches? A comprehensive test , 2014 .
[12] Chunchi Wu,et al. Default prediction with dynamic sectoral and macroeconomic frailties. , 2014 .
[13] Bing Xu,et al. Performance Evaluation of Bankruptcy Prediction Models: An Orientation Super-efficiency DEA-based Framework , 2015 .
[14] K. Keasey,et al. Financial Distress Prediction Models: A Review of Their Usefulness1 , 1991 .
[15] W. R. Lane,et al. An application of the cox proportional hazards model to bank failure , 1986 .
[16] H. Frydman,et al. Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress , 1985 .
[17] Solomon Tesfamariam,et al. Predicting water main failures using Bayesian model averaging and survival modelling approach , 2015, Reliab. Eng. Syst. Saf..
[18] Iván Pastor Sanz,et al. Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks , 2015, Expert Syst. Appl..
[19] Edward I. Altman,et al. Corporate Financial Distress and Bankruptcy: Predict and Avoid Bankruptcy, Analyze and Invest in Distressed Debt , 2005 .
[20] Marjorie B. Platt,et al. Predicting corporate financial distress: Reflections on choice-based sample bias , 2002 .
[21] N. Wilson,et al. Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables , 2013 .
[22] C. Zopounidis,et al. A Multicriteria Discrimination Method for the Prediction of Financial Distress: The Case of Greece , 1999 .
[23] J. Sinkey. A MULTIVARIATE STATISTICAL ANALYSIS OF THE CHARACTERISTICS OF PROBLEM BANKS , 1975 .
[24] S. Rahman,et al. Identifying Financial Distress Indicators of Selected Banks in Asia , 2004 .
[25] Kevin M. Small,et al. Estimation and Inference , 2013 .
[26] Yasuo Amemiya,et al. Instrumental variable estimator for the nonlinear errors-in-variables model , 1985 .
[27] José Manuel Pereira,et al. Survival Analysis Employed in Predicting Corporate Failure: A Forecasting Model Proposal , 2014 .
[28] Enrico Zio,et al. Ensemble-approaches for clustering health status of oil sand pumps , 2012, Expert Syst. Appl..
[29] Edward I. Altman,et al. FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY , 1968 .
[30] Lior Rokach,et al. Ensemble-based classifiers , 2010, Artificial Intelligence Review.
[31] A. Sule. Predicting Financial Distress and the Performance of Distressed Stocks , 2011 .
[32] Indranil Bose,et al. Deciding the financial health of dot-coms using rough sets , 2006, Inf. Manag..
[33] Teija Laitinen,et al. Comparative analysis of failure prediction methods: the Finnish case , 1999 .
[34] C. Cardone-Riportella,et al. EXAMINING WHAT BEST EXPLAINS CORPORATE CREDIT RISK: ACCOUNTING-BASED VERSUS MARKET-BASED MODELS , 2013 .
[35] David A. Elizondo,et al. Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks , 2008, Decis. Support Syst..
[36] J. Barraux,et al. Revue française de gestion , 1978 .
[37] Qinghua Huang,et al. Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches , 2014, Knowl. Based Syst..
[38] Tzong-Huei Lin,et al. A cross model study of corporate financial distress prediction in Taiwan: Multiple discriminant analysis, logit, probit and neural networks models , 2009, Neurocomputing.
[39] Abuzar M. A. Eljelly. Liquidity ‐ profitability tradeoff: An empirical investigation in an emerging market , 2004 .
[40] Alicia Mateos-Ronco,et al. Developing a business failure prediction model for cooperatives: Results of an empirical study in Spain , 2011 .
[41] Constantin Zopounidis,et al. Prediction of Greek company takeovers via multivariate analysis of financial ratios , 1997 .
[42] Erkki K. Laitinen,et al. Survival analysis as a tool for company failure prediction , 1991 .
[43] Constantin Zopounidis,et al. A survey of business failures with an emphasis on prediction methods and industrial applications , 1996 .
[44] Jincheng Wang,et al. Financial Statements Analysis , 2010 .
[45] Ahsan Habib,et al. Financial distress, earnings management and market pricing of accruals during the global financial crisis , 2013 .
[46] R. Jarrow,et al. Bankruptcy Prediction With Industry Effects , 2004 .
[47] Suzan Hol,et al. The influence of the business cycle on bankruptcy probability , 2007, Int. Trans. Oper. Res..
[48] Van Horne,et al. Financial Management and Policy , 1968 .
[49] M. Beynon,et al. Variable precision rough set theory and data discretisation: an application to corporate failure prediction , 2001 .
[50] Raktim Pal,et al. Predicting the survival or failure of click-and-mortar corporations: A knowledge discovery approach , 2006, Eur. J. Oper. Res..
[51] A. Gregory,et al. Some New Models for Financial Distress Prediction in the UK , 2010 .
[52] C. Charalambous,et al. Predicting Corporate Failure: Empirical Evidence for the UK by , 2001 .
[53] Thomas S. Shively,et al. A semiparametric stochastic spline model as a managerial tool for potential insolvency , 2000 .
[54] Yu Wang,et al. Financial failure prediction using efficiency as a predictor , 2009, Expert Syst. Appl..
[55] Sally I. McClean,et al. A data mining approach to the prediction of corporate failure , 2001, Knowl. Based Syst..
[56] J. Courtis. MODELLING A FINANCIAL RATIOS CATEGORIC FRAMEWORK , 1978 .
[57] R. Polikar,et al. Ensemble based systems in decision making , 2006, IEEE Circuits and Systems Magazine.
[58] David C. Mauer,et al. The Determinants of Corporate Liquidity: Theory and Evidence , 1998, Journal of Financial and Quantitative Analysis.
[59] P. W. Wilson,et al. Estimation and inference in two-stage, semi-parametric models of production processes , 2007 .
[60] E. Altman,et al. ZETATM analysis A new model to identify bankruptcy risk of corporations , 1977 .
[61] James A. Ohlson. FINANCIAL RATIOS AND THE PROBABILISTIC PREDICTION OF BANKRUPTCY , 1980 .
[62] Roger M. Stein. Benchmarking default prediction models: pitfalls and remedies in model validation , 2007 .
[63] Ming-Fu Hsu,et al. A hybrid approach of DEA, rough set and support vector machines for business failure prediction , 2010, Expert systems with applications.