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Applying Z-score model to distinguish insolvent construction companies in China
16 references·16 citing·24 second hopsampled
Applying Z-score model to distinguish insolvent construction companies in China (2011)Applying Z-score model to distinguish ins…Modern Construction Management (2012)Modern Construction ManagementIntroduction to Data Mining (2007)Introduction to Data Mining35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems (2005)35 years of studies on busine…A survey of business failures with an emphasis on prediction methods and industrial applications (1996)A survey of business failures…Does Default Risk in Coupons Affect the Valuation of Corporate Bonds?: A Contingent Claims Model (1993)Does Default Risk in Coupons …The Anatomy of Major Projects: A Study of the Reality of Project Management (1988)The Anatomy of Major Projects…Non‐Financial Symptoms and the Prediction of Small Company Failure: A Test of Argenti's Hypotheses (1987)Non‐Financial Symptoms and th…An Examination of the Stationarity of Multivariate Bankruptcy Prediction Models: A Methodological Study (1984)An Examination of the Station…The Assessment of Company Solvency and Performance Using a Statistical Model (1983)The Assessment of Company Sol…Great planning disasters (1980)Great planning disastersFinancial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)ZETATM analysis A new model t…An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction (1972)An Empirical Test of Financia…A Discriminant Analysis of Predictors of Business Failure (1972)A Discriminant Analysis of Pr…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…Predicting financial distress using machine learning approaches: Evidence China (2024)Predicting financial distress…Predicting Construction Company Insolvent Failure: A Scientometric Analysis and Qualitative Review of Research Trends (2024)Predicting Construction Compa…Distinctive determinants of financial indebtedness: evidence from Slovak and Czech enterprises (2021)Distinctive determinants of f…Enhancing the Knowledge of Construction Business Failure: A Social Network Analysis Approach (2020)Enhancing the Knowledge of Co…Cash Flows Indicators in the Prediction of Financial Distress (2020)Cash Flows Indicators in the …Predicting bankruptcy in construction business: Traditional model validation and formulation of a new model (2019)Predicting bankruptcy in cons…Financial Distress Prediction Through Cash Flow Ratios Analysis (2019)Financial Distress Prediction…Financial Distress and Stock Market Failures: Lessons from Indian Realty Sector (2018)Financial Distress and Stock …A framework for big data analytics approach to failure prediction of construction firms (2018)A framework for big data anal…A Big Data Analytics Approach for Construction Firms Failure Prediction Models (2018)A Big Data Analytics Approach…The stability of bankruptcy predictors in the construction and manufacturing industries at various times before bankruptcy (2017)The stability of bankruptcy p…Predicting the Bankruptcy of Construction Companies: A CART-Based Model (2017)Predicting the Bankruptcy of …Methodological approach of construction business failure prediction studies: a review (2016)Methodological approach of co…Critical factors for insolvency prediction: towards a theoretical model for the construction industry (2016)Critical factors for insolven…Effect of the global financial crisis on the financial performance of public listed construction companies in Malaysia (2014)Effect of the global financia…Parametric prediction on default risk of Chinese listed tourism companies by using random oversampling, isomap, and locally linear embeddings on imbalanced samples (2013)Parametric prediction on defa…Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)The need for new paradigms for complex projects (1999)What Causes Cost Overrun in Transport Infrastructure Projects? (2004)The Influence of Project Managers on Project Success Criteria and Project Success by Type of Project (2007)The robust beauty of improper linear models in decision making. (1979)A neural network model for bankruptcy prediction (1990)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)In Search of Distress Risk (2008)Business failure prediction using rough sets (1999)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)ELECTRE: A comprehensive literature review on methodologies and applications (2015)Statistical Models of Bond Ratings: A Methodological Inquiry (1979)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables (2013)Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches (2013)Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study (2016)Using data mining to improve assessment of credit worthiness via credit scoring models (2011)A Methodology for Direct and Indirect Discrimination Prevention in Data Mining (2012)Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks (2018)
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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
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 1977ZETATM analysis A new model to identify bankruptcy risk of corporations1,812 cited
  • 1972A Discriminant Analysis of Predictors of Business Failure1,168 cited
  • 2007Introduction to Data Mining941 cited
  • 200535 years of studies on business failure: an overview of the classic statistical methodologies and their related problems795 cited
  • 1972An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction767 cited
  • 1988The Anatomy of Major Projects: A Study of the Reality of Project Management677 cited
  • 1996A survey of business failures with an emphasis on prediction methods and industrial applications591 cited
  • 1980Great planning disasters591 cited
  • 1993Does Default Risk in Coupons Affect the Valuation of Corporate Bonds?: A Contingent Claims Model407 cited
  • 1983The Assessment of Company Solvency and Performance Using a Statistical Model345 cited
  • 2012Modern Construction Management314 cited
  • 1987Non‐Financial Symptoms and the Prediction of Small Company Failure: A Test of Argenti's Hypotheses

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302 cited
  • 1984An Examination of the Stationarity of Multivariate Bankruptcy Prediction Models: A Methodological Study248 cited
  • Cited by

    • 2020Enhancing the Knowledge of Construction Business Failure: A Social Network Analysis Approach97 cited
    • 2019Financial Distress Prediction Through Cash Flow Ratios Analysis71 cited
    • 2021Distinctive determinants of financial indebtedness: evidence from Slovak and Czech enterprises68 cited
    • 2018A Big Data Analytics Approach for Construction Firms Failure Prediction Models46 cited
    • 2017Predicting the Bankruptcy of Construction Companies: A CART-Based Model45 cited
    • 2016Critical factors for insolvency prediction: towards a theoretical model for the construction industry43 cited
    • 2024Predicting financial distress using machine learning approaches: Evidence China40 cited
    • 2020Cash Flows Indicators in the Prediction of Financial Distress38 cited
    • 2013Parametric prediction on default risk of Chinese listed tourism companies by using random oversampling, isomap, and locally linear embeddings on imbalanced samples37 cited
    • 2019Predicting bankruptcy in construction business: Traditional model validation and formulation of a new model31 cited
    • 2016Methodological approach of construction business failure prediction studies: a review31 cited
    • 2024Predicting Construction Company Insolvent Failure: A Scientometric Analysis and Qualitative Review of Research Trends29 cited
    • 2018Financial Distress and Stock Market Failures: Lessons from Indian Realty Sector27 cited
    • 2014Effect of the global financial crisis on the financial performance of public listed construction companies in Malaysia26 cited
    • 2017The stability of bankruptcy predictors in the construction and manufacturing industries at various times before bankruptcy26 cited
    • 2018A framework for big data analytics approach to failure prediction of construction firms23 cited