Predicting financial distress in the Indian textile sector

RASHMI RUPESH SONI; IQBAL THONSE HAWALDAR; ANJU SUNNY VASWANI; CRISTI SPULBAR; RAMONA BIRAU; ELENA LOREDANA MINEA; SUHAN MENDON; MARIA MAGDALENA CRIVEANU

doi:10.35530/IT.072.05.20214

Predicting financial distress in the Indian textile sector

RASHMI RUPESH SONI, IQBAL THONSE HAWALDAR, ANJU SUNNY VASWANI, CRISTI SPULBAR, RAMONA BIRAU, ELENA LOREDANA MINEA, SUHAN MENDON, MARIA MAGDALENA CRIVEANU

Department of Commerce, Manipal

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

The purpose of this paper is to predict the financial distress of companies of the Indian textile sector using Altman Z score. The analysis conducted on 161 listed textile companies in India for a period of 10 years from 2009 to 2018. All the listed companies are categorized into large, medium, and small using the median split method based on the size of total assets. Kruskal Wallis test is applied to test whether the mean z-score is different for each category of companies. This research study shows that majority of the companies in the Indian textile sector are facing financial distress. Further, it shows that the z score of small, medium, and large-scale textile companies in India is significantly different.

Original language	English
Pages (from-to)	503-508
Number of pages	6
Journal	Industria Textila
Volume	72
Issue number	5
DOIs	https://doi.org/10.35530/IT.072.05.20214
Publication status	Published - 2021

All Science Journal Classification (ASJC) codes

Materials Science (miscellaneous)
Business, Management and Accounting(all)
Environmental Science(all)
Polymers and Plastics

Access to Document

10.35530/IT.072.05.20214

Cite this

@article{4e8d8d20c18641e89764a06b3b2872ba,

title = "Predicting financial distress in the Indian textile sector",

abstract = "The purpose of this paper is to predict the financial distress of companies of the Indian textile sector using Altman Z score. The analysis conducted on 161 listed textile companies in India for a period of 10 years from 2009 to 2018. All the listed companies are categorized into large, medium, and small using the median split method based on the size of total assets. Kruskal Wallis test is applied to test whether the mean z-score is different for each category of companies. This research study shows that majority of the companies in the Indian textile sector are facing financial distress. Further, it shows that the z score of small, medium, and large-scale textile companies in India is significantly different.",

author = "SONI, {RASHMI RUPESH} and HAWALDAR, {IQBAL THONSE} and VASWANI, {ANJU SUNNY} and CRISTI SPULBAR and RAMONA BIRAU and MINEA, {ELENA LOREDANA} and SUHAN MENDON and CRIVEANU, {MARIA MAGDALENA}",

year = "2021",

doi = "10.35530/IT.072.05.20214",

language = "English",

volume = "72",

pages = "503--508",

journal = "Industria Textila",

issn = "1222-5347",

publisher = "Institutional National de Cercetare-Dezvoltare Pentru Texttile Pielarie",

number = "5",

}

TY - JOUR

T1 - Predicting financial distress in the Indian textile sector

AU - SONI, RASHMI RUPESH

AU - HAWALDAR, IQBAL THONSE

AU - VASWANI, ANJU SUNNY

AU - SPULBAR, CRISTI

AU - BIRAU, RAMONA

AU - MINEA, ELENA LOREDANA

AU - MENDON, SUHAN

AU - CRIVEANU, MARIA MAGDALENA

PY - 2021

Y1 - 2021

N2 - The purpose of this paper is to predict the financial distress of companies of the Indian textile sector using Altman Z score. The analysis conducted on 161 listed textile companies in India for a period of 10 years from 2009 to 2018. All the listed companies are categorized into large, medium, and small using the median split method based on the size of total assets. Kruskal Wallis test is applied to test whether the mean z-score is different for each category of companies. This research study shows that majority of the companies in the Indian textile sector are facing financial distress. Further, it shows that the z score of small, medium, and large-scale textile companies in India is significantly different.

AB - The purpose of this paper is to predict the financial distress of companies of the Indian textile sector using Altman Z score. The analysis conducted on 161 listed textile companies in India for a period of 10 years from 2009 to 2018. All the listed companies are categorized into large, medium, and small using the median split method based on the size of total assets. Kruskal Wallis test is applied to test whether the mean z-score is different for each category of companies. This research study shows that majority of the companies in the Indian textile sector are facing financial distress. Further, it shows that the z score of small, medium, and large-scale textile companies in India is significantly different.

UR - http://www.scopus.com/inward/record.url?scp=85119187324&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85119187324&partnerID=8YFLogxK

U2 - 10.35530/IT.072.05.20214

DO - 10.35530/IT.072.05.20214

M3 - Article

AN - SCOPUS:85119187324

SN - 1222-5347

VL - 72

SP - 503

EP - 508

JO - Industria Textila

JF - Industria Textila

IS - 5

ER -

Predicting financial distress in the Indian textile sector

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this