Case Study Of Bina Goodyear Berhad

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CHAPTER ONE
INTRODUCTION
1.0 INTRODUCTION
This chapter explains about background of study, background of the companies, problem statement, research objectives, significance of study, scope of study, operational definition, structure of thesis and conclusion.
1.1 BACKGROUND OF STUDY
1.2 BACKGROUND OF COMPANIES
1.2.1 PN17 COMPANIES
1.2.1.1 AUTOAIR HOLDINGS BERHAD
Autoair Holdings Berhad was establishing in 1989 and located at Kuala Lumpur. The principle activities of the company involve manufacturing, trading and distribution of automotive air conditioning parts and accessories. The company commits to deliver customer satisfaction in product quality, reliability and services.

1.2.1.2 BINA GOODYEAR BERHAD
Bina Goodyear Berhad (BGB) is established in 1983 and gain reputation as a strong standing contractor. It was listed in the main board of Bursa Malaysia and fall under construction sector. The landmark of government project that was completed by BGB such as Selangor State Mosque, International Islamic University and various project in the Special Administration Region of Putrajaya.

1.2.1.3 ECM LIBRA FINANCIAL GROUP BERHAD
ECM Libra Financial Group Berhad is actually the listed holding company under ECM Libra Group. It begin in 2002 and known as a financial service group. ECM is one of the financial service company that aim to provide flexible and effective solutions to meet customer financial and investment goals.

1.2.1.4 HIGH-5 CONGLOMERATE BERHAD
High-5 Conglomerate Berhad was start up its business in 1996. The main activities involve in bakery manufacturing, sales, and distribution of bakery and telecommunication products and wholesale or logistics of bakery ingredients. High-5 Conglomerate is also known as Silver Bird Group...

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...to show the true picture of the facility by ensuring that accounting and financial report are revealed professionally.
Besides using financial ratios and Altman’s Z-score in predicting financial distress of companies, some researchers also use other methods such as logistic regression. According to Shuk (2005), several prior researchers used logistic regression in recent financial distress studies. Logistic regression is suitable method when dependent variables (financial and non-financial distress) and independent variables are metric variables. It is a combination of multiple regression and discriminate analysis, he added.
In addition Haat (2006) in his study found that, the advantage of using this logistic regression is it being less affected and more vigorous than multiple discriminate analysis when the prediction of the multivariate normality is not match.

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