Applicability of altman's z-score model in predicting financial distress towards PN17 companies in Malaysia / Fairus Farizah Razali

PN 17 is known as Practice Note 1. It is for listed company that having a financial distress and issued by Malaysian Stock Exchange. The company will had a financial distress when the business failed to meet the requirement of the minimum capital and equity. Which is the company had less than 25% fr...

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Main Author:	Razali, Fairus Farizah
Format:	Student Project
Language:	English
Published:	Faculty of Business Management 2017
Subjects:	Financial leverage
Online Access:	http://ir.uitm.edu.my/id/eprint/24342/ http://ir.uitm.edu.my/id/eprint/24342/1/PPb_FAIRUS%20FARIZAH%20RAZALI%20J%20BM17_5.pdf

id	uitm-24342
recordtype	eprints
spelling	uitm-243422019-05-29T08:39:55Z http://ir.uitm.edu.my/id/eprint/24342/ Applicability of altman's z-score model in predicting financial distress towards PN17 companies in Malaysia / Fairus Farizah Razali Razali, Fairus Farizah Financial leverage PN 17 is known as Practice Note 1. It is for listed company that having a financial distress and issued by Malaysian Stock Exchange. The company will had a financial distress when the business failed to meet the requirement of the minimum capital and equity. Which is the company had less than 25% from the paid up capital. By using financial ratio analysis method can detect the failure that happen to this companies. In 2016 under PN17 list there are 17 companies that listed on Malaysian Stock Exchange classified. According with their existing standard the company will entered into PN17. However there are investors doesn’t even know about the status form these listed company. So, a real and attention for these companies has not been given also scientific researchers and analytical studies are still lacking for companies that listed in PN17. The aims for this research is to measure the financial performance by using financial profitability ratios (Working Capital to Total Assets, Return on Total Assets, Retained Earnings to Total Assets, Market Value of Equity to Total Liabilities and Asset turnover) in determining the financial disaster of companies. The available data collected from the DataStream covering the period from 2011 to 2013 were used in the analysis. Furthermore, by using Altman’s Z-Score can be used to testing the performance of the company whether become failure or non failure company. Faculty of Business Management 2017 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/24342/1/PPb_FAIRUS%20FARIZAH%20RAZALI%20J%20BM17_5.pdf Razali, Fairus Farizah (2017) Applicability of altman's z-score model in predicting financial distress towards PN17 companies in Malaysia / Fairus Farizah Razali. [Student Project] (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Financial leverage
spellingShingle	Financial leverage Razali, Fairus Farizah Applicability of altman's z-score model in predicting financial distress towards PN17 companies in Malaysia / Fairus Farizah Razali
description	PN 17 is known as Practice Note 1. It is for listed company that having a financial distress and issued by Malaysian Stock Exchange. The company will had a financial distress when the business failed to meet the requirement of the minimum capital and equity. Which is the company had less than 25% from the paid up capital. By using financial ratio analysis method can detect the failure that happen to this companies. In 2016 under PN17 list there are 17 companies that listed on Malaysian Stock Exchange classified. According with their existing standard the company will entered into PN17. However there are investors doesn’t even know about the status form these listed company. So, a real and attention for these companies has not been given also scientific researchers and analytical studies are still lacking for companies that listed in PN17. The aims for this research is to measure the financial performance by using financial profitability ratios (Working Capital to Total Assets, Return on Total Assets, Retained Earnings to Total Assets, Market Value of Equity to Total Liabilities and Asset turnover) in determining the financial disaster of companies. The available data collected from the DataStream covering the period from 2011 to 2013 were used in the analysis. Furthermore, by using Altman’s Z-Score can be used to testing the performance of the company whether become failure or non failure company.
format	Student Project
author	Razali, Fairus Farizah
author_facet	Razali, Fairus Farizah
author_sort	Razali, Fairus Farizah
title	Applicability of altman's z-score model in predicting financial distress towards PN17 companies in Malaysia / Fairus Farizah Razali
title_short	Applicability of altman's z-score model in predicting financial distress towards PN17 companies in Malaysia / Fairus Farizah Razali
title_full	Applicability of altman's z-score model in predicting financial distress towards PN17 companies in Malaysia / Fairus Farizah Razali
title_fullStr	Applicability of altman's z-score model in predicting financial distress towards PN17 companies in Malaysia / Fairus Farizah Razali
title_full_unstemmed	Applicability of altman's z-score model in predicting financial distress towards PN17 companies in Malaysia / Fairus Farizah Razali
title_sort	applicability of altman's z-score model in predicting financial distress towards pn17 companies in malaysia / fairus farizah razali
publisher	Faculty of Business Management
publishDate	2017
url	http://ir.uitm.edu.my/id/eprint/24342/ http://ir.uitm.edu.my/id/eprint/24342/1/PPb_FAIRUS%20FARIZAH%20RAZALI%20J%20BM17_5.pdf
first_indexed	2023-09-18T23:12:23Z
last_indexed	2023-09-18T23:12:23Z
_version_	1777418888327200768

Applicability of altman's z-score model in predicting financial distress towards PN17 companies in Malaysia / Fairus Farizah Razali

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