Bankruptcy Prediction for Non-Financial Firms of Pakistan

Abstract

In this study we use two models for the measuring of financial status of the non-financial firms which are listed in the Karachi Stock Exchange. The Non-financial companies represent the biggest slice at the Karachi Stock Exchange. The non-financial companies of Pakistan are the total population and sample size is 25 higher and 25 lower capital companies. The technique which used in this study was Convenience sampling technique and all 50 non-financial listed companies at KSE were included to gain deeper insights into this study. The State Bank of Pakistan shows balance sheet analyses of companies, for compiling of data financial reports were used for the years 2007 to 2012. The results of the study showed that Abbas model and Altman‟s Z-Score model was a effective tool for checking the financial health of non-financial companies listed at Karachi stock exchange. This study further explores that lower capital firm have more financially distressed companies as compare to high capital non-financial companies listed at KSE.

Keywords: KSE 100, Z-Score, bankruptcy, financial ratios, discriminant analysis

JEL Classification: G33