This page presents an excerpt of the available research material, including the Preliminary Pages, Table of Contents, Abstract, Chapters One to Five, and References. It provides a comprehensive overview of the study, enhancing readability and accessibility for students, and researchers seeking complete material on “European Journal of Economics, Finance and Administrative Sciences”.
I am profoundly grateful to everyone who contributed to the successful completion of this project. I am especially grateful to my Supervisor (Name), the Head of Department (Name), and the Lecturers in the Department of Finance for their invaluable guidance and support. I also acknowledge the contributions of authors and scholars whose works on European Journal of Economics, Finance and Administrative Sciences provided essential insights. Special thanks go to my study area (and any funding organizations, if applicable) for their financial assistance. I am equally thankful to stakeholders, including mentors, teachers, and colleagues, for their encouragement and support. Finally, I deeply appreciate my family and friends for their patience and unwavering support throughout this journey. Your contributions have been instrumental in making this research a reality.
The advent of the Asian Financial Crisis (AFC) in the Southeast Asia in 1997 is an appealing case for research work in assessing corporate financial distress. From international perspective, AFC is a product of contagion effect that spread from Thailand and consequently to the other Asian countries. Domestically, the AFC has resulted in a sudden economic slump and corporate failures in these economies. This paper examines the corporate failure before the 1997 Asian Financial Crisis in three emerging capital markets namely Malaysia, Singapore and Thailand, and develops, tests, and analyses a model for classifying and predicting financial distress. A failure classification model based on multiple discriminate analyses was utilized to classify listed corporations from these countries for the 1980 to 1996 period. The model is tested on a sample of 33 Malaysian, 17 Singaporean and 52 Thailand failed firms and similar number of non-failed firms in the respective countries as a control sample. The failure prediction model developed successfully discriminates between failed and non-failed listed firms at the rate of 86%, 82% and 71% of Malaysian, Singaporean and Thailand firms respectively. Further validation of findings show that the predictive accuracy was significantly better than chance.
1.1 Introduction
… As a prelude to other parts of this study, this chapter will discuss the background upon which this study was initiated, the statement of problems that led to this study, the Aim and Objectives of the study. Others are Significance of the study, Scope of work, Research hypothesis and questions, Limitation of the study and Definition of technical terms.…
