東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Predicting Financial Distress using ...

Onyiri, Sunny.

Linked to FindBook

Google Book

Amazon

博客來

Predicting Financial Distress using Altman's Z-score and the Sustainable Growth Rate.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Predicting Financial Distress using Altman's Z-score and the Sustainable Growth Rate./
Author:	Onyiri, Sunny.
Description:	170 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-05(E), Section: A.
Contained By:	Dissertation Abstracts International76-05A(E).
Subject:	Accounting. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3669729
ISBN:	9781321455847

Predicting Financial Distress using Altman's Z-score and the Sustainable Growth Rate.
Onyiri, Sunny.

Predicting Financial Distress using Altman's Z-score and the Sustainable Growth Rate. - 170 p.

Source: Dissertation Abstracts International, Volume: 76-05(E), Section: A.

Thesis (D.B.A.)--Northcentral University, 2014.

This item must not be sold to any third party vendors.

Due to the increase in corporate bankruptcy, financial distress studies have flourished since 1968. Firms do find themselves in financially distressful situations because of several factors including changing economic environment such as a decrease in aggregate demand, an increase in the cost of borrowed funds, and changes in government regulation. In addition to the Altman's z-score model, the sustainable growth rate (SGR) is another tool that is used primarily for financial planning. The problem with Altman's z-score model is that it does not consider whether a firm can be financially distressed or not if the sustainable growth rate of the firm is in fact higher than the growth rate of the firm's reported revenues. The purpose of this quantitative study was to investigate the efficacy of using ltman's z-score in forecasting financial distress of a firm when the sustainable growth rate was higher than the growth rate of the reported revenues. The sample for this study was drawn from all non-financial firms traded on the NYSE. The research question was investigated using two group design in two phases. Phase 1 involved the calculation of the sustainable growth rate (SGR), the growth rate of reported revenues, and the calculation of Altman's z-score. The Altman's z-score of the two groups were compared using Mann-Whitney U test to determine whether a statistically significant difference exists in the z-score. Phase 2 involved the correlation between the values of SGR and the values of Altman's z-score to determine if there was a statistically significant relationship between the two scores. The result of this research indicates that the Alman's z-score and the sustainable growth rate are conceptually independent and both can be used to ascertain whether a firm is financially distressed or not. In addition, result of this study provide practical application that could help management of firms reach important financial and managerial decisions. While the result of this study provided useful information and added to existing knowledge on financial distress, additional research using more than one year of financial data is recommended in order to confirm the results of this study.

ISBN: 9781321455847Subjects--Topical Terms:

557516
Accounting.

Predicting Financial Distress using Altman's Z-score and the Sustainable Growth Rate.
LDR:03188nmm a2200301 4500 001 2061383
005 20150930092200.5
008 170521s2014 ||||||||||||||||| ||eng d
020 $a 9781321455847
035 $a (MiAaPQ)AAI3669729
035 $a AAI3669729
040 $a MiAaPQ $c MiAaPQ
100 1 $a Onyiri, Sunny. $3 3175637
245 1 0 $a Predicting Financial Distress using Altman's Z-score and the Sustainable Growth Rate.
300 $a 170 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-05(E), Section: A.
500 $a Adviser: Sharon Kimmel.
502 $a Thesis (D.B.A.)--Northcentral University, 2014.
506 $a This item must not be sold to any third party vendors.
520 $a Due to the increase in corporate bankruptcy, financial distress studies have flourished since 1968. Firms do find themselves in financially distressful situations because of several factors including changing economic environment such as a decrease in aggregate demand, an increase in the cost of borrowed funds, and changes in government regulation. In addition to the Altman's z-score model, the sustainable growth rate (SGR) is another tool that is used primarily for financial planning. The problem with Altman's z-score model is that it does not consider whether a firm can be financially distressed or not if the sustainable growth rate of the firm is in fact higher than the growth rate of the firm's reported revenues. The purpose of this quantitative study was to investigate the efficacy of using ltman's z-score in forecasting financial distress of a firm when the sustainable growth rate was higher than the growth rate of the reported revenues. The sample for this study was drawn from all non-financial firms traded on the NYSE. The research question was investigated using two group design in two phases. Phase 1 involved the calculation of the sustainable growth rate (SGR), the growth rate of reported revenues, and the calculation of Altman's z-score. The Altman's z-score of the two groups were compared using Mann-Whitney U test to determine whether a statistically significant difference exists in the z-score. Phase 2 involved the correlation between the values of SGR and the values of Altman's z-score to determine if there was a statistically significant relationship between the two scores. The result of this research indicates that the Alman's z-score and the sustainable growth rate are conceptually independent and both can be used to ascertain whether a firm is financially distressed or not. In addition, result of this study provide practical application that could help management of firms reach important financial and managerial decisions. While the result of this study provided useful information and added to existing knowledge on financial distress, additional research using more than one year of financial data is recommended in order to confirm the results of this study.
590 $a School code: 1443.
650 4 $a Accounting. $3 557516
650 4 $a Finance. $3 542899
650 4 $a Economic theory. $3 1556984
690 $a 0272
690 $a 0508
690 $a 0511
710 2 $a Northcentral University. $b School of Business and Technology Management. $3 2099493
773 0 $t Dissertation Abstracts International $g 76-05A(E).
790 $a 1443
791 $a D.B.A.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3669729