EARLY WARNING SYSTEMS, THE CASE OF TURKEY

Cilt: 6 Sayı: 1 1 Ocak 2005
  • Sinan Aktan
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EARLY WARNING SYSTEMS, THE CASE OF TURKEY

Öz

We are focusing on two alternative techniques that can be used empirically to select predictors for failure prediction purposes. The selected techniques have all different assumptions about the relationships between the independent variables. Linear discriminant analysis is based on linear combination of independent variables; logit analysis uses logistic cumulative probability distribution function. Our aim is to study if these essential differences between methods affect the empirical selection of independent variables to the models and lead significant differences in failure prediction accuracy; moreover, develop a prediction model that would be benefited by management itself, shareholders, government, vendors, creditors, investors and other stakeholders in their projections and strategies.

Anahtar Kelimeler

Kaynakça

  1. ACKOFF R.L. (1999). Re-creating the Corporation, a design of organization for the 21" century.^w York : Oxford Umversıty Press.
  2. ALTMAN E.I., HALDEMAN, R.G., & NARAYANAN, P. (1977). Zeta analysis : a new model to identify bankruptcy risk of corporations. Journal of Banking and Finance, June, p.p..29-54.
  3. ALTMAN E.I. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Journal of Finance. (September), pp.589-609.
  4. . (2000). Predicting fmancial distress of companies : a revisiting the Z-Score and Zeta models. Available from: [Accessed November 25, 2001]
  5. BACK B., LAITINEN T., SERE K., & WEZEL M. VAN. (1996). Choosing bankruptcy predictors using discriminant analysis, logit analysis, and genetic algorithms Turku Center for Computer Science Technical Report; Nr. 40, September.
  6. BEAVER W. (1968). Alternative accounting measures as predictors of failure. Accounting Review,J
  7. BLUM M.P. (1974). Failing company discriminant analysis. Journal of Accounting Research, vol. 12, Nr. 1, Spring.
  8. DEAKIN, E. (1972). A Discriminant analysis of predictors of business failure. Journal of Accounting Research. Spring, pp. 167-179

Ayrıntılar

Birincil Dil

İngilizce

Konular

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Bölüm

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Yazarlar

Sinan Aktan Bu kişi benim

Yayımlanma Tarihi

1 Ocak 2005

Gönderilme Tarihi

-

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2005 Cilt: 6 Sayı: 1

Kaynak Göster

APA
Aktan, S. (2005). EARLY WARNING SYSTEMS, THE CASE OF TURKEY. Doğuş Üniversitesi Dergisi, 6(1), 1-15. https://izlik.org/JA85ZJ47LC
AMA
1.Aktan S. EARLY WARNING SYSTEMS, THE CASE OF TURKEY. DOUJ. 2005;6(1):1-15. https://izlik.org/JA85ZJ47LC
Chicago
Aktan, Sinan. 2005. “EARLY WARNING SYSTEMS, THE CASE OF TURKEY”. Doğuş Üniversitesi Dergisi 6 (1): 1-15. https://izlik.org/JA85ZJ47LC.
EndNote
Aktan S (01 Ocak 2005) EARLY WARNING SYSTEMS, THE CASE OF TURKEY. Doğuş Üniversitesi Dergisi 6 1 1–15.
IEEE
[1]S. Aktan, “EARLY WARNING SYSTEMS, THE CASE OF TURKEY”, DOUJ, c. 6, sy 1, ss. 1–15, Oca. 2005, [çevrimiçi]. Erişim adresi: https://izlik.org/JA85ZJ47LC
ISNAD
Aktan, Sinan. “EARLY WARNING SYSTEMS, THE CASE OF TURKEY”. Doğuş Üniversitesi Dergisi 6/1 (01 Ocak 2005): 1-15. https://izlik.org/JA85ZJ47LC.
JAMA
1.Aktan S. EARLY WARNING SYSTEMS, THE CASE OF TURKEY. DOUJ. 2005;6:1–15.
MLA
Aktan, Sinan. “EARLY WARNING SYSTEMS, THE CASE OF TURKEY”. Doğuş Üniversitesi Dergisi, c. 6, sy 1, Ocak 2005, ss. 1-15, https://izlik.org/JA85ZJ47LC.
Vancouver
1.Sinan Aktan. EARLY WARNING SYSTEMS, THE CASE OF TURKEY. DOUJ [Internet]. 01 Ocak 2005;6(1):1-15. Erişim adresi: https://izlik.org/JA85ZJ47LC