Evaluating company's performance using multiple discriminant analysis: the case of Shariah compliance companies
by Nuradli Ridzwan Shah Mohd Dali, Hamdi Hakeim Mudasir, Suhaila Abdul Hamid
American J. of Finance and Accounting (AJFA), Vol. 2, No. 2, 2010

Abstract: There are many tools that can be used to measure/evaluate the performance of a company and one of the most popular tools is using the financial ratios. This paper will explore the use of a combination of two different techniques using the time series data of share and market prices collected from Shariah compliance companies and cross-sectional financial ratios data of Shariah compliance companies. Share prices from 201 Shariah compliance companies listed in the Bursa Malaysia stock exchange were collected from 2000 to 2005 with their respective 2005 financial ratios. The Jensen Alpha technique is employed to classify the Shariah compliance companies in the Main Board Bursa Malaysia into two categories, i.e. performing and non-performing. Next, multiple discriminant analysis (MDA) technique is employed in identifying the ratio(s) that significantly influence the performing and non-performing companies. The MDA result shows that shareholders fund/share or net tangible asset ratio could differentiate significantly the non-performing and performing Shariah compliance companies.

Online publication date: Mon, 22-Nov-2010

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the American J. of Finance and Accounting (AJFA):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com