Evaluating company's performance using multiple discriminant analysis: the case of Shariah compliance companies
Nuradli Ridzwan Shah Mohd Dali,
Hamdi Hakeim Mudasir and
Suhaila Abdul Hamid
American Journal of Finance and Accounting, 2010, vol. 2, issue 2, pages 143-154
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.
Keywords: MDA; multiple discriminant analysis; CAPM; capital asset pricing model; Jensen Alpha; Wilks' lambda; company performance; Shariah compliance companies; firm performance; Malaysia; stock market; financial ratios. (search for similar items in EconPapers)
References: Add references at CitEc
Citations Track citations by RSS feed
Downloads: (external link)
Access to full text is restricted to subscribers.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:ids:amerfa:v:2:y:2010:i:2:p:143-154
Access Statistics for this article
More articles in American Journal of Finance and Accounting from Inderscience Enterprises Ltd
Series data maintained by Darren Simpson ().