Evaluating Company's Performance Using Multiple Discriminant Analysis: A Study On Shariah Compliance Companies
The global business environment is really demanding the investors to be prepared with the emerging and dynamic markets. Measuring company's performance is important for management, shareholders, government, customers, suppliers and other stakeholders that have importance or linkage with the...
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Universiti Sains Islam Malaysia
2015
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my.usim-77732017-03-02T07:44:46Z Evaluating Company's Performance Using Multiple Discriminant Analysis: A Study On Shariah Compliance Companies Nuradli Ridzwan Shah Mohd Dali Hamdi Hakeim Mudasir Suhaila Abdul Hamid The global business environment is really demanding the investors to be prepared with the emerging and dynamic markets. Measuring company's performance is important for management, shareholders, government, customers, suppliers and other stakeholders that have importance or linkage with the wealth distribution directly or indirectly. To evaluate company's performance, we need tools that can be used to measure the performance and one of most popular tools is the financial ratio analysis. This paper will explore the use of alpha Jensen technique to classify the shariah compliance companies in the Main Board of Bursa Malaysia into two categories i.e. performing and non performing. Then the result would be used with the companies 20 financial ratios to identify the model that could discriminate the performing and non performing companies using multiple discriminant analysis. The study found that only shareholders fund / share ratio is significantly contributing to the discriminant function. 2015-03-05T08:07:33Z 2015-03-05T08:07:33Z 2006 Research Report http://ddms.usim.edu.my/handle/123456789/7773 en Universiti Sains Islam Malaysia |
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The global business environment is really demanding the investors to be prepared with
the emerging and dynamic markets. Measuring company's performance is important for
management, shareholders, government, customers, suppliers and other stakeholders that
have importance or linkage with the wealth distribution directly or indirectly. To evaluate
company's performance, we need tools that can be used to measure the performance and
one of most popular tools is the financial ratio analysis. This paper will explore the use of
alpha Jensen technique to classify the shariah compliance companies in the Main Board
of Bursa Malaysia into two categories i.e. performing and non performing. Then the
result would be used with the companies 20 financial ratios to identify the model that
could discriminate the performing and non performing companies using multiple
discriminant analysis. The study found that only shareholders fund / share ratio is
significantly contributing to the discriminant function. |
format |
Research Report |
author |
Nuradli Ridzwan Shah Mohd Dali Hamdi Hakeim Mudasir Suhaila Abdul Hamid |
spellingShingle |
Nuradli Ridzwan Shah Mohd Dali Hamdi Hakeim Mudasir Suhaila Abdul Hamid Evaluating Company's Performance Using Multiple Discriminant Analysis: A Study On Shariah Compliance Companies |
author_facet |
Nuradli Ridzwan Shah Mohd Dali Hamdi Hakeim Mudasir Suhaila Abdul Hamid |
author_sort |
Nuradli Ridzwan Shah Mohd Dali |
title |
Evaluating Company's Performance Using Multiple Discriminant Analysis: A Study On Shariah Compliance Companies |
title_short |
Evaluating Company's Performance Using Multiple Discriminant Analysis: A Study On Shariah Compliance Companies |
title_full |
Evaluating Company's Performance Using Multiple Discriminant Analysis: A Study On Shariah Compliance Companies |
title_fullStr |
Evaluating Company's Performance Using Multiple Discriminant Analysis: A Study On Shariah Compliance Companies |
title_full_unstemmed |
Evaluating Company's Performance Using Multiple Discriminant Analysis: A Study On Shariah Compliance Companies |
title_sort |
evaluating company's performance using multiple discriminant analysis: a study on shariah compliance companies |
publisher |
Universiti Sains Islam Malaysia |
publishDate |
2015 |
url |
http://ddms.usim.edu.my/handle/123456789/7773 |
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1645152257661992960 |
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13.214268 |