Testing the financial distress prediction model for sukuk- issuing companies in Malaysia
Roslina Mohamad Shafi,
Sharifah Raihan Syed Mohd Zain,
Mohamed Shah and
Ahamed Kameel Mydin Meera
Chapter 29 in Handbook of Empirical Research on Islam and Economic Life, 2017, pp 687-705 from Edward Elgar Publishing
Abstract:
Companies are exposed to business and financial risk and are affected by business cycles and economic downturns. A company is fortunate if it is capable of preventing and alleviating financial crises by utilizing existing financial distress models to deal with volatile markets and changes in the global economy. Such models are capable of signalling to a company worst case scenarios and remedial possibilities to prevent future distress. However, applying such risk models to sukuk-issuing companies remains a point of contention because sukuk and related bonds are fundamentally different types of financial instruments and possess dissimilar risk exposure to traditional instruments. The current study examines this difference by testing existing financial distress prediction models on sukuk-issuing companies. The results show that the Altman and Ohlson financial distress models were capable of alerting companies of possible financial distress with a 52.78 per cent prediction accuracy. Further testing revealed that the Ohlson model produced a higher prediction power than the Altman model for Malaysian sukuk-issuing companies. These signify that logit model is more powerful for sukuk issuing companies.
Keywords: Asian Studies; Economics and Finance (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.elgaronline.com/view/9781784710729.00040.xml (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Temporarily Unavailable
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:16049_29
Ordering information: This item can be ordered from
http://www.e-elgar.com
Access Statistics for this chapter
More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().