Predicting financial distress in the Indian textile sector

被引:3
|
作者
Sono, Rashmi Rupesh [1 ]
Hawaldar, Iqbal Thonse [2 ]
Vaswani, Anju Sunny [3 ]
Spulbar, Cristi [4 ]
Birau, Ramona [5 ]
Minea, Elena Loredana [4 ]
Mendon, Suhan [6 ]
Criveanu, Maria Magdalena [4 ]
机构
[1] KJ Somaiya Inst Management Studies & Res, Mumbai, Maharashtra, India
[2] Kingdom Univ, Coll Business Adm, Dept Accounting & Finance, Riffa, Bahrain
[3] H&GH Mansukhani Inst Management, Ulhasnagar, Maharashtra, India
[4] Univ Craiova, Fac Econ & Business Adm Craiova, Craiova, Romania
[5] C Tin Brancusi Univ Targu Jiu, Fac Educ Sci Law & Publ Adm, Targu Jiu, Romania
[6] MAHE Deemed Be Univ Manipal, Manipal Inst Management, Manipal, India
来源
INDUSTRIA TEXTILA | 2021年 / 72卷 / 05期
关键词
textile sector; performance; Altman Z score; bankruptcy; discriminant analysis; financial investment; customer; BANKRUPTCY; RATIOS;
D O I
10.35530/IT.072.05.20214
中图分类号
TB3 [工程材料学]; TS1 [纺织工业、染整工业];
学科分类号
0805 ; 080502 ; 0821 ;
摘要
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.
引用
收藏
页码:503 / 508
页数:6
相关论文
共 50 条
  • [31] Predicting financial distress of the South Korean manufacturing industries
    Bae, Jae Kwon
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (10) : 9159 - 9165
  • [32] Predicting firm financial distress: A mixed logit model
    Jones, S
    Hensher, DA
    [J]. ACCOUNTING REVIEW, 2004, 79 (04): : 1011 - 1038
  • [33] TECHNICAL ASSUMPTIONS OF MODELS PREDICTING CORPORATE FINANCIAL DISTRESS
    Camska, Dagmar
    [J]. 9TH INTERNATIONAL DAYS OF STATISTICS AND ECONOMICS, 2015, : 286 - 294
  • [34] THE ROLE OF BOARD STRUCTURE IN PREDICTING FINANCIAL DISTRESS IN MALAYSIA
    Rus, Rohani Md
    [J]. INTERNATIONAL JOURNAL OF MANAGEMENT STUDIES, 2018, 25 (01):
  • [35] PREDICTING FINANCIAL DISTRESS OF COMPANIES OPERATING IN CONSTRUCTION INDUSTRY
    Camska, Dagmar
    [J]. PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ACCOUNTING AND MANAGEMENT INFORMATION SYSTEMS (AMIS 2013), 2013, : 642 - 657
  • [36] Indian software and pharmaceutical sector IC and financial performance
    Ghosh, Santanu
    Mondal, Amitava
    [J]. JOURNAL OF INTELLECTUAL CAPITAL, 2009, 10 (03) : 369 - +
  • [37] Financial sector reforms in developing countries: The Indian experience
    Arun, TG
    Turner, JD
    [J]. WORLD ECONOMY, 2002, 25 (03): : 429 - 445
  • [38] A survey of cybersecurity threats and countermeasures in the Indian financial sector
    Tiwari, Mohit
    Gandhar, Abhishek
    Gandhar, Shashi
    Kumar, Shashi Bhushan
    Rehalia, Arvind
    Priyadarshi, Prakhar
    [J]. JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, 2024, 45 (02): : 507 - 514
  • [39] Financial sector development and smart cities: The Indian case
    Arora, Rashmi Umesh
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2018, 42 : 52 - 58