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MEASURING FINANCIAL DISTRESS AND PREDICTING CORPORATE BANKRUPTCY: AN INDEX APPROACH. (2016). Liao, Qunfeng ; Mehdian, Seyed.
In: Review of Economic and Business Studies.
RePEc:aic:revebs:y:2016:j:17:liaoq.

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Cites: 33

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Cocites: 50

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  1. Economic policy uncertainty and cash dividend policy: evidence from China. (2024). Zhang, Yiwen ; Zhao, Liang ; Li, Chuanzhen.
    In: Palgrave Communications.
    RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03055-9.

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  2. Economic policy uncertainty and firm investment decisions: Dilemma or opportunity?. (2022). Peng, Dan ; Wang, Ziqi ; Li, Rong Rong ; Kong, Qunxi.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:83:y:2022:i:c:s1057521922002551.

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  3. Predicting Bankruptcy through Neural Network:Case of PSX Listed Companies. (2022). Arshad, Hina ; Ahmad, Rashid ; Bashir, Furrukh ; Iqbal, Javed.
    In: iRASD Journal of Management.
    RePEc:ani:irdjom:v:4:y:2022:i:2:p:297-313.

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  4. Analysis of the Related Party Transactions interms of managerial and financial issues for the Kenyan Savings and Credit Cooperatives. (2021). Mugambi, Ken ; Nguta, Munene Halldess.
    In: International Journal of Finance & Banking Studies.
    RePEc:rbs:ijfbss:v:10:y:2021:i:1:p:48-61.

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  5. Influence of Board Characteristics on Financial Distress of Deposit Taking SACCOs in Nairobi County, Kenya. (2020). Mugambi, Kenneth M ; Senaji, Thomas ; Ndegwa, James ; Munene, Halldess Nguta.
    In: International Journal of Finance & Banking Studies.
    RePEc:rbs:ijfbss:v:9:y:2020:i:4:p:97-110.

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  6. The use of accounting anomalies indicators to predict business failure. (2019). Gutiérrez-Nieto, Begoña ; Bernate-Valbuena, Martha ; Gutierrez-Nieto, Begoa ; Serrano-Cinca, Carlos.
    In: European Management Journal.
    RePEc:eee:eurman:v:37:y:2019:i:3:p:353-375.

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  7. Construction Industry and Payment Discipline in the Czech Republic. (2016). Hejdukova, Pavlina ; Kurekova, Lucie.
    In: European Financial and Accounting Journal.
    RePEc:prg:jnlefa:v:2016:y:2016:i:3:id:162:p:53-68.

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References

References cited by this document

  1. Agarwal V. and R. Taffler, (2008). Comparing the Performance of Market-based and Accounting-based Bankruptcy Prediction Models. Journal of Banking & Finance, 32(8): 1541–1551.

  2. Altman E. I. and B. Branch, (2015). The Bankruptcy System's Chapter 22 Recidivism Problem: How Serious is It. The Financial Review, 50(1): 1-26.

  3. Altman, E. I., (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. Journal of Finance, 23(4): 589–609.

  4. Altman, E. I., (1973). Predicting Railroad Bankruptcies in America. The Bell Journal of Economics and Management, 4(1): 184–211.

  5. Altman, E. I., G. Marco and F. Varetto, (1994). Corporate Distress Diagnosis: Comparisons Using Linear Discriminant Analysis and Neural Network: the Italian Experience. Journal of Banking and Finance, 18(3): 505–529.

  6. Altman, E. I., R. G. Haldeman and P. Narayanan, (1977). ZETA Analysis: A New Model to Identify Bankruptcy Risk of Corporations. Journal of Banking and Finance, 1(1): 29–54.

  7. Anderson, R. C., A. Duru and D. M. Reeb, (2009). Founders, Heirs, and Corporate Opacity in the United States. Journal of Financial Economics, 92(2): 205-222.

  8. Back, B., T. Laitinen and K. Sere, (1996). Neural Networks and Bankruptcy Prediction: Funds Flows Accrual Ratios and Accounting Data. Advances in Accounting, 14: 23–37.
    Paper not yet in RePEc: Add citation now
  9. Beaver, W. H., (1968). Market Prices, Financial Ratios, and the Prediction of Failure. Journal of Accounting Research, 6(2): 179–192.

  10. Beaver, W. H., M. F. McNichols and J.-W. Rhie, (2005). Have Financial Statements Become Less Informative? Market Prices, Financial Ratios Less Informative? Evidence from the Ability of Financial Ratio to Predict Bankruptcy. Review of Accounting Studies, 10(1): 93–122.
    Paper not yet in RePEc: Add citation now
  11. Bedingfield, J. P., P. M. J. Reckers and A. J. Stagliano, (1985). Distribution of Financial Ratios in the Commercial Banking Industry. Journal of Financial Research, 8(1): 77–81.

  12. Bellovary J., D. Giacomino and M. Akers, (2007). A Review of Bankruptcy Prediction Studies: 1930 to Present. Journal of Financial Education, 33: 1-42.
    Paper not yet in RePEc: Add citation now
  13. Charitou A., D. Dionysiou, N. Lambertides and L. Trigeorgis, (2013). Alternative bankruptcy prediction models using option-pricing theory. Journal of Banking and Finance, 37(7): 2329-2341.

  14. Cielen A., L. Peeters and K. Vanhoof, (2004). Bankruptcy Prediction Using a Data Envelopment Analysis. European Journal of Operational Research, 154(2): 526–532. MEASURING FINANCIAL DISTRESS AND PREDICTING CORPORATE BANKRUPTCY:AN INDEX APPROACH

  15. Edmister, R. O., (1972). An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction. Journal of Financial and Quantitative Analysis, 7(2): 1477–

  16. Hillegeist, S. A., E. K. Keating, D. P. Cram and K. G. Lundstedt, (2004). Assessing the Probability of Bankruptcy. Review of Accounting Studies, 9(1): 5–34.
    Paper not yet in RePEc: Add citation now
  17. Hwang R.C., H. Chung and J.-Y. Ku, (2013). Predicting Recurrent Financial Distresses with Autocorrelation Structure: An Empirical Analysis from an Emerging Market. Journal of Financial Service Research, 43(3): 321–341.

  18. Jackson R. H.G. and A. Wood, (2013). The Performance of Insolvency Prediction and Credit Risk Models in the U.K: A Comparative Study. The British Accounting Review, 45(3): 183-202.

  19. Johnsen, T. and R. W. Melicher, (1994). Predicting Corporate Bankruptcy and Financial Distress: Information Value Added by Multinomial Logit Models. Journal of Economics and Business, 46(4): 269-286.

  20. Jones F. L., (1987). Current Techniques in Bankruptcy Prediction. Journal of Accounting Literature, 6: 131-164.
    Paper not yet in RePEc: Add citation now
  21. Jones S. and D. A. Hensher, (2004). Prediction Firm Financial Distress: a Mixed Logit Model. The Accounting Review, 79(4): 1011-1038.
    Paper not yet in RePEc: Add citation now
  22. Kida, C. Y., (1998). Financial Ratios as Predictors of Bankruptcy in Japan: An Empirical Research. Journal of Finance, 123: 589-609.
    Paper not yet in RePEc: Add citation now
  23. Lennox, C., (1999). Identifying Failing Companies: A Re-evaluation of the Logit, Probit and MDA Approaches. Journal of Economics and Business, 51(4): 347-364.

  24. Li, M.-Y. L. and P. Miu, (2010). A Hybrid Bankruptcy Prediction Model with Dynamic Loadings on Accounting-Ratio-Based and Market-Based Information: A Binary Quantile Regression Approach. Journal of Empirical Finance, 17(4): 818–833.

  25. Mensah, Y. M., (1984). An Examination of the Stationarity of Multivariate Bankruptcy Prediction Models: A Methodological Study. Journal of Accounting Research, 22(1): 380–395.

  26. Ohlson, J., (1980). Financial Ratios and the Probabilistic Prediction of Bankruptcy. Journal of Accounting Research, 18(1): 109-131.

  27. Premachandra I. M., G. S. Bhabra and T. Sueyoshi, (2009). DEA as a Tool for Bankruptcy Assessment: A Comparative Study with Logistic Regression Technique. European Journal of Operation Research, 193(2): 412-424.

  28. Scott, J., (1981). The Probability of Bankruptcy: a Comparison of Empirical Predictions and Theoretical Models. Journal of Banking and Finance, 5(3): 317-344.

  29. Shumway, T., (2001). Forecasting Bankruptcy More Accurately: A Simple Hazard Model. Journal Business, 74(1): 101-124.

  30. TopaloÄŸlu, Z., (2012). Multi-period Logistic Model of Bankruptcies in the Manufacturing Industry. International Journal of Finance and Accounting, (1)3: 28-37.
    Paper not yet in RePEc: Add citation now
  31. Wu. Y., C. Gaunt and S. Gray, (2010). A Comparison of Alternative Bankruptcy Prediction Models. Journal of Contemporary Accounting and Economics, 6(1): 34-45. Qunfeng LIAO, Seyed MEHDIAN

  32. Zhang G., M. Y. Hu, B. E. Patuwo and D. C. Indro, (1999). Artificial Neural Networks in Bankruptcy Prediction: General Framework and Cross-validation analysis. European Journal of Operational Research, 116(1): 16–32.

  33. Zmijewski M. E., (1984). Methodological Issues Related to the Estimation of Financial Distress Prediction Models. Journal of Accounting Research, 22: 59-82. M EASURING F INANCIAL D ISTRESS AND P REDICTING C ORPORATE B ANKRUPTCY : A N I NDEX A PPROACH APPENDIX

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