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Default Prediction in Pakistan using Financial Ratios and Sector Level Variables

Yıl 2016, Cilt: 6 Sayı: 3, 197 - 202, 01.05.2016

Öz

Default prediction provides a way to control and direct firms in achieving their goals. The common approach in this regard has been to study the relationship between set of explanatory variables and financial distress. The study served specific objectives by highlighting the sectors impact on financial behavior of Pakistani listed firms across sectors. The study looks into the sector specific attributes that affect the bankruptcy prediction determinants. Since sectors operate in business environments which are subject to different levels of growth, competiveness and market concentration. The study will investigate the relationship of several independent firm-level, sector level variables that have to be examined with dependent variable. Financial variables nature is not normal so logit used for the nature and also financial distress is binomial variable. In addition, the Company may provide the possibility of financial distress and indicates an argument that this study used independent variables that are best predictors of financial distress.

Yıl 2016, Cilt: 6 Sayı: 3, 197 - 202, 01.05.2016

Öz

Toplam 0 adet kaynakça vardır.

Ayrıntılar

Diğer ID JA65VH36CJ
Bölüm Araştırma Makalesi
Yazarlar

Suresh Ramakrishnan Bu kişi benim

Agha Amad Nabi Bu kişi benim

Melati Ahmad Anuar Bu kişi benim

Yayımlanma Tarihi 1 Mayıs 2016
Yayımlandığı Sayı Yıl 2016 Cilt: 6 Sayı: 3

Kaynak Göster

APA Ramakrishnan, S., Nabi, A. A., & Anuar, M. A. (2016). Default Prediction in Pakistan using Financial Ratios and Sector Level Variables. International Journal of Economics and Financial Issues, 6(3), 197-202.
AMA Ramakrishnan S, Nabi AA, Anuar MA. Default Prediction in Pakistan using Financial Ratios and Sector Level Variables. IJEFI. Mayıs 2016;6(3):197-202.
Chicago Ramakrishnan, Suresh, Agha Amad Nabi, ve Melati Ahmad Anuar. “Default Prediction in Pakistan Using Financial Ratios and Sector Level Variables”. International Journal of Economics and Financial Issues 6, sy. 3 (Mayıs 2016): 197-202.
EndNote Ramakrishnan S, Nabi AA, Anuar MA (01 Mayıs 2016) Default Prediction in Pakistan using Financial Ratios and Sector Level Variables. International Journal of Economics and Financial Issues 6 3 197–202.
IEEE S. Ramakrishnan, A. A. Nabi, ve M. A. Anuar, “Default Prediction in Pakistan using Financial Ratios and Sector Level Variables”, IJEFI, c. 6, sy. 3, ss. 197–202, 2016.
ISNAD Ramakrishnan, Suresh vd. “Default Prediction in Pakistan Using Financial Ratios and Sector Level Variables”. International Journal of Economics and Financial Issues 6/3 (Mayıs 2016), 197-202.
JAMA Ramakrishnan S, Nabi AA, Anuar MA. Default Prediction in Pakistan using Financial Ratios and Sector Level Variables. IJEFI. 2016;6:197–202.
MLA Ramakrishnan, Suresh vd. “Default Prediction in Pakistan Using Financial Ratios and Sector Level Variables”. International Journal of Economics and Financial Issues, c. 6, sy. 3, 2016, ss. 197-02.
Vancouver Ramakrishnan S, Nabi AA, Anuar MA. Default Prediction in Pakistan using Financial Ratios and Sector Level Variables. IJEFI. 2016;6(3):197-202.