EARLY WARNING SYSTEMS, THE CASE OF TURKEY

Volume: 6 Number: 1 January 1, 2005
  • Sinan Aktan
TR EN

EARLY WARNING SYSTEMS, THE CASE OF TURKEY

Abstract

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.

Keywords

References

  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

Details

Primary Language

English

Subjects

-

Journal Section

-

Authors

Sinan Aktan This is me

Publication Date

January 1, 2005

Submission Date

-

Acceptance Date

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Published in Issue

Year 2005 Volume: 6 Number: 1

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. Doğuş Üniversitesi Dergisi. 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 (January 1, 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”, Doğuş Üniversitesi Dergisi, vol. 6, no. 1, pp. 1–15, Jan. 2005, [Online]. Available: https://izlik.org/JA85ZJ47LC
ISNAD
Aktan, Sinan. “EARLY WARNING SYSTEMS, THE CASE OF TURKEY”. Doğuş Üniversitesi Dergisi 6/1 (January 1, 2005): 1-15. https://izlik.org/JA85ZJ47LC.
JAMA
1.Aktan S. EARLY WARNING SYSTEMS, THE CASE OF TURKEY. Doğuş Üniversitesi Dergisi. 2005;6:1–15.
MLA
Aktan, Sinan. “EARLY WARNING SYSTEMS, THE CASE OF TURKEY”. Doğuş Üniversitesi Dergisi, vol. 6, no. 1, Jan. 2005, pp. 1-15, https://izlik.org/JA85ZJ47LC.
Vancouver
1.Sinan Aktan. EARLY WARNING SYSTEMS, THE CASE OF TURKEY. Doğuş Üniversitesi Dergisi [Internet]. 2005 Jan. 1;6(1):1-15. Available from: https://izlik.org/JA85ZJ47LC