An Analysis of Assessment of Financial Distress in Textile Sector of Pakistan (2012-2018)

Talha Majeed Khan

Abstract


As business expand in modern global economy, cutthroat competition also becomes a reality. It becomes more important for businesses not only to diversify but also to break through with their respective products on different markets through cost cutting techniques and technologies. For survival and carrying on business activities, an organization should have to manage their finances on priority matters that need utmost care and attention. Therefore, company’s financial health and position can be monitored through their financial statement. Broad based expansion in private sector loans during Jul-Feb FY2018 makes financing requirement increased for working capital due to increase in input prices of cotton and coal. Large amount of loans are a burden on textile firms. More use of loans may results into the problem of financial distress that may lead to future bankruptcy.The objective of the study is to analyze the financial distress prediction in textile sector of Pakistan during the period 2012 to 2018. Dependent variable is financial distress prediction and independent variables are WC/TD, RE/TA, EBT/Equity, CF/TD, S/TA, interest rates, exchange rates, cotton prices and export prices. Researcher took secondary data of 120 textile-listed firms for the period of seven years from 2012 to 2018 derived from annual reports.Regression analysis, ANOVA and correlation were performed to check whether independent variables have significant relation with financial distress prediction. Results revealed that WC/TD, interest rates, cotton prices and export prices were found significant.RE/TA, EBT/Equity, CF/TD, and S/TA and exchanges rates have negative and insignificant relation with financial distress prediction.

Keywords: Financial distress, bankruptcy prediction, Fulmer model, Pakistan Stock Exchange, Financial ratios, Macroeconomic indicators

DOI: 10.7176/EJBM/11-19-01

Publication date:July 31st 2019


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