Validating bankruptcy prediction by using Bayesian network model: A case from Malaysian firm
This paper provides operational guidance for validating Naïve Bayes model for bankruptcy prediction. First, researcher suggests heuristic methods that guide the selection of bankruptcy potential variables. Correlations analyses were used to eliminate variables that provide little or no additional in...
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HG Finance T Technology (General) Muhammad Zuhairi, Abd Hamid Validating bankruptcy prediction by using Bayesian network model: A case from Malaysian firm |
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This paper provides operational guidance for validating Naïve Bayes model for bankruptcy prediction. First, researcher suggests heuristic methods that guide the selection of bankruptcy potential variables. Correlations analyses were used to eliminate variables that provide little or no additional information beyond that subsumed by the remaining variables. A Naïve Bayes model was developed using the proposed heuristic method and it performed well based on logistic regression, which is used for validation analysis. The developed Naïve Bayes model consists of three first-order variables and seven second-order variables. The results show that the model's performance is best when the method of enter is used in logistic regression which is percentage of correct is 90%. Finally, the results of this study could also be applicable to businesses and investors in decision making, besides validating bankruptcy prediction. |
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Master's degree |
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Muhammad Zuhairi, Abd Hamid |
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Muhammad Zuhairi, Abd Hamid |
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Muhammad Zuhairi, Abd Hamid |
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Validating bankruptcy prediction by using Bayesian network model: A case from Malaysian firm |
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Validating bankruptcy prediction by using Bayesian network model: A case from Malaysian firm |
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Validating bankruptcy prediction by using Bayesian network model: A case from Malaysian firm |
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Validating bankruptcy prediction by using Bayesian network model: A case from Malaysian firm |
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Validating bankruptcy prediction by using Bayesian network model: A case from Malaysian firm |
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validating bankruptcy prediction by using bayesian network model: a case from malaysian firm |
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Universiti Utara Malaysia |
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Othman Yeop Abdullah Graduate School of Business |
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2014 |
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https://etd.uum.edu.my/4708/1/s812905.pdf https://etd.uum.edu.my/4708/2/s812905_abstract.pdf |
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my-uum-etd.47082022-08-03T01:59:38Z Validating bankruptcy prediction by using Bayesian network model: A case from Malaysian firm 2014 Muhammad Zuhairi, Abd Hamid Hanafi, Norshafizah Othman Yeop Abdullah Graduate School of Business Othman Yeop Abdullah Graduate School of Business HG Finance T Technology (General) This paper provides operational guidance for validating Naïve Bayes model for bankruptcy prediction. First, researcher suggests heuristic methods that guide the selection of bankruptcy potential variables. Correlations analyses were used to eliminate variables that provide little or no additional information beyond that subsumed by the remaining variables. A Naïve Bayes model was developed using the proposed heuristic method and it performed well based on logistic regression, which is used for validation analysis. The developed Naïve Bayes model consists of three first-order variables and seven second-order variables. The results show that the model's performance is best when the method of enter is used in logistic regression which is percentage of correct is 90%. Finally, the results of this study could also be applicable to businesses and investors in decision making, besides validating bankruptcy prediction. 2014 Thesis https://etd.uum.edu.my/4708/ https://etd.uum.edu.my/4708/1/s812905.pdf text eng public https://etd.uum.edu.my/4708/2/s812905_abstract.pdf text eng public masters masters Universiti Utara Malaysia Ahn, H & Kim, K.J. (2009). Bankruptcy Prediction Modeling with Hybrid Case-Based Reasoning and Genetic Algorithms Approach. Applied Soft Computing 9, Pp 599-607. Altman, Edward I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. The Journal of Finance, Pp. 589-609. Beaver, William, H., (1966). Financial Ratios as Predictors of Failure. Journal of Accounting Research, Supplement, Empirical Research in Accounting: Selected Studies, pp. 71-111. 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