Examining and validating a bankruptcy prediction models in Malaysia

The purpose of this paper is to propose and validate the combined model for bankruptcy prediction for the Malaysian firms. This combined model is adopted from previous studies by combining Ohlson logit model, Springate-Canadian model and macroeconomic factors. The proposed combined model is develope...

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Main Authors: Bakar, Suzaida, Ting, Irene Wei Kiong, Md Nassir, Annuar
Format: Conference or Workshop Item
Language:English
Published: IEEE 2012
Online Access:http://psasir.upm.edu.my/id/eprint/45202/1/Examining%20and%20validating%20a%20bankruptcy%20prediction%20models%20in%20Malaysia.pdf
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author Bakar, Suzaida
Ting, Irene Wei Kiong
Md Nassir, Annuar
author_facet Bakar, Suzaida
Ting, Irene Wei Kiong
Md Nassir, Annuar
author_sort Bakar, Suzaida
collection UPM
description The purpose of this paper is to propose and validate the combined model for bankruptcy prediction for the Malaysian firms. This combined model is adopted from previous studies by combining Ohlson logit model, Springate-Canadian model and macroeconomic factors. The proposed combined model is developed by using the financial and macroeconomic constructs. The result indicates that logistic regression performs well and it is used to validate the model. Our results also show that, the capacity of the proposed model to predict correctly is 100% for both samples (distress and non-distress firms). Finally, the results of this study could also be applicable to business and investor's decision making contexts other than the bankruptcy prediction model.
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spelling upm.eprints-452022020-08-04T02:43:21Z http://psasir.upm.edu.my/id/eprint/45202/ Examining and validating a bankruptcy prediction models in Malaysia Bakar, Suzaida Ting, Irene Wei Kiong Md Nassir, Annuar The purpose of this paper is to propose and validate the combined model for bankruptcy prediction for the Malaysian firms. This combined model is adopted from previous studies by combining Ohlson logit model, Springate-Canadian model and macroeconomic factors. The proposed combined model is developed by using the financial and macroeconomic constructs. The result indicates that logistic regression performs well and it is used to validate the model. Our results also show that, the capacity of the proposed model to predict correctly is 100% for both samples (distress and non-distress firms). Finally, the results of this study could also be applicable to business and investor's decision making contexts other than the bankruptcy prediction model. IEEE 2012 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/45202/1/Examining%20and%20validating%20a%20bankruptcy%20prediction%20models%20in%20Malaysia.pdf Bakar, Suzaida and Ting, Irene Wei Kiong and Md Nassir, Annuar (2012) Examining and validating a bankruptcy prediction models in Malaysia. In: 2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE 2012), 10-12 Sept. 2012, Langkawi, Kedah. . 10.1109/ICSSBE.2012.6396560
spellingShingle Bakar, Suzaida
Ting, Irene Wei Kiong
Md Nassir, Annuar
Examining and validating a bankruptcy prediction models in Malaysia
title Examining and validating a bankruptcy prediction models in Malaysia
title_full Examining and validating a bankruptcy prediction models in Malaysia
title_fullStr Examining and validating a bankruptcy prediction models in Malaysia
title_full_unstemmed Examining and validating a bankruptcy prediction models in Malaysia
title_short Examining and validating a bankruptcy prediction models in Malaysia
title_sort examining and validating a bankruptcy prediction models in malaysia
url http://psasir.upm.edu.my/id/eprint/45202/1/Examining%20and%20validating%20a%20bankruptcy%20prediction%20models%20in%20Malaysia.pdf
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AT tingireneweikiong examiningandvalidatingabankruptcypredictionmodelsinmalaysia
AT mdnassirannuar examiningandvalidatingabankruptcypredictionmodelsinmalaysia