Accounting ratios and prediction of companies failure trading and service industry / Azlina Rahim, Anita Jamil and Zarinah Abdul Rasit

This study examines the use of accounting ratios as a prediction of company's failure in trading and services industry on the Main Board of Bursa Malaysia. The accounting ratios were calculated based on the information disclosed in the financial statements of the companies that were listed from...

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Main Authors: Rahim, Azlina, Jamil, Anita, Abdul Rasit, Zarinah
Format: Research Reports
Language:English
Published: 2004
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/41787/1/41787.pdf
http://ir.uitm.edu.my/id/eprint/41787/
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spelling my.uitm.ir.417872021-02-23T02:44:22Z http://ir.uitm.edu.my/id/eprint/41787/ Accounting ratios and prediction of companies failure trading and service industry / Azlina Rahim, Anita Jamil and Zarinah Abdul Rasit Rahim, Azlina Jamil, Anita Abdul Rasit, Zarinah Accounting. Bookkeeping Financial management. Business finance. Corporation finance Balance sheets. Financial statements. Including corporation reports. Financial reporting. Financial disclosure This study examines the use of accounting ratios as a prediction of company's failure in trading and services industry on the Main Board of Bursa Malaysia. The accounting ratios were calculated based on the information disclosed in the financial statements of the companies that were listed from 1991 to 2000. The study identifies the relationship between accounting ratios and companies failure. Four accounting ratios were selected and constructed. Each ratio represents the major categories namely liquidity, profitability, gearing and earning per share (EPS). The relevant data were obtained through analysis of annual reports In the Bursa Malaysia library. Further, the study attempts to find out which ratio was the best predictors to predict the company's failure and do the ratios provide information m decision-making process. The findings reveal that all the selected ratios were significant at P<0.01 and P<0.05 Thus, it can be concluded that all the four ratios that been selected were able to predict whether the company is success or failure. The results show that Liquidity ratio (Current ratio) and EPS tend to be the most powerful tool in measuring the performance of trading and service industry. In summary, this study concludes that all the four ratios in the study could be used as predictors for corporate solvency. 2004 Research Reports NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/41787/1/41787.pdf Rahim, Azlina and Jamil, Anita and Abdul Rasit, Zarinah (2004) Accounting ratios and prediction of companies failure trading and service industry / Azlina Rahim, Anita Jamil and Zarinah Abdul Rasit. (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Accounting. Bookkeeping
Financial management. Business finance. Corporation finance
Balance sheets. Financial statements. Including corporation reports. Financial reporting. Financial disclosure
spellingShingle Accounting. Bookkeeping
Financial management. Business finance. Corporation finance
Balance sheets. Financial statements. Including corporation reports. Financial reporting. Financial disclosure
Rahim, Azlina
Jamil, Anita
Abdul Rasit, Zarinah
Accounting ratios and prediction of companies failure trading and service industry / Azlina Rahim, Anita Jamil and Zarinah Abdul Rasit
description This study examines the use of accounting ratios as a prediction of company's failure in trading and services industry on the Main Board of Bursa Malaysia. The accounting ratios were calculated based on the information disclosed in the financial statements of the companies that were listed from 1991 to 2000. The study identifies the relationship between accounting ratios and companies failure. Four accounting ratios were selected and constructed. Each ratio represents the major categories namely liquidity, profitability, gearing and earning per share (EPS). The relevant data were obtained through analysis of annual reports In the Bursa Malaysia library. Further, the study attempts to find out which ratio was the best predictors to predict the company's failure and do the ratios provide information m decision-making process. The findings reveal that all the selected ratios were significant at P<0.01 and P<0.05 Thus, it can be concluded that all the four ratios that been selected were able to predict whether the company is success or failure. The results show that Liquidity ratio (Current ratio) and EPS tend to be the most powerful tool in measuring the performance of trading and service industry. In summary, this study concludes that all the four ratios in the study could be used as predictors for corporate solvency.
format Research Reports
author Rahim, Azlina
Jamil, Anita
Abdul Rasit, Zarinah
author_facet Rahim, Azlina
Jamil, Anita
Abdul Rasit, Zarinah
author_sort Rahim, Azlina
title Accounting ratios and prediction of companies failure trading and service industry / Azlina Rahim, Anita Jamil and Zarinah Abdul Rasit
title_short Accounting ratios and prediction of companies failure trading and service industry / Azlina Rahim, Anita Jamil and Zarinah Abdul Rasit
title_full Accounting ratios and prediction of companies failure trading and service industry / Azlina Rahim, Anita Jamil and Zarinah Abdul Rasit
title_fullStr Accounting ratios and prediction of companies failure trading and service industry / Azlina Rahim, Anita Jamil and Zarinah Abdul Rasit
title_full_unstemmed Accounting ratios and prediction of companies failure trading and service industry / Azlina Rahim, Anita Jamil and Zarinah Abdul Rasit
title_sort accounting ratios and prediction of companies failure trading and service industry / azlina rahim, anita jamil and zarinah abdul rasit
publishDate 2004
url http://ir.uitm.edu.my/id/eprint/41787/1/41787.pdf
http://ir.uitm.edu.my/id/eprint/41787/
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score 13.251813