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Banka Başarısızlıklarının Düzeltilşmiş Minumum Sapma Modeli ile Tahmin Edilmesi

Year 2006, , 89 - 109, 01.02.2006
https://doi.org/10.1501/SBFder_0000001338

Abstract

References

  • AKTAŞ, R.I KARACAER, S.I KARACABEY, A.A. (2001), "Mali Oranlar Arasındaki ilişkilerin Faktör Analizi ile incelenmesi," .Muhasebe Bilim Dünyası Dergisi, CHt 3, Sayı 1: 9-28.
  • ALTMAN, E.I.INELSON, A.D. (1968), ~'Financial Ratios, Diseriminant Analysis and the Predietion of Corporate Bankruptey," Journal of Finance, 23: 589-609.
  • ASPAROUKHOV, O.K/STAM, A. (1997), "Mathematieal Programming Formulations for Two-group Classifieation with Binary Variables," Annals of Operations Research, 74:89.112.
  • BARNES, P. (1987), "The Analysis and Use of Finanejal Ratios: A Review Article," Journal of Business FinanceEtAccounting: 449-461.
  • CANBAŞ, s./ÇABUK, A.,/KILlÇ, S.B. (2004), "Predietion of Commercial Bank Failure via Multivariate Statistieal Analysis of Finaneial Struetures: The Turkish Case," European Journal of Operational Resarch (Article in Press).
  • FREED, N.lGLOVER, F. (1981a), "A Linear Programming Approaeh to the Diseriminant Problem," Decision Sciences, 12: 68-74.
  • FREED, N.lGLOVER, F. (1981b), "Simple but Powerful Goal Programming Formulations for the Discriminant Problem," European Journal of Operational Resarch, 7: 44-60.
  • GLOVER, F. (1990), "Improved Linear Programming Models for Diseriminant Analysis," Decision Sciences, 21: 771-785.
  • GUPTA, Y./R. RAO, BAGCHI, P. (1990), "Linear Goal Programming as an Alternative to Multivariate Diseriminant Analysis," Journol of Business Finance and Accounting, 17: 593-598.
  • HORRIGAN, J.O. (1965), "Some Emprieal Bases of Finaneial Ratio Analysis," Accounting Review, 558-568.
  • JOHNSON, W.B. (1978), "The Cross Sectional of Finaneial Patterns," Journal of Business financeEtAccounting, 207-214.
  • KARACABEY, A.A. (2003), "Matematiksel Programlama ile Sınıflandırma," Savunma Bi/imleri Dergisi, VoL.2, No:1.
  • KLINE, P. (1994), An Easy Guide to Factor Analysis (London: Routledge).
  • KONNO, H.lKOBAYASHI, H. (2000), "FaHure Diserimination and Rating of Enterprises by Semidefinite Programming," Asia-Pacific Financial Markets, 7: 261-273.
  • LOUCOPOULOS, C./PAVUR, R. (1997), "Experimental Evaluation of the Classificatory Performance of Mathematical Programming Approaches to the Three-group Discriminant Problem: the Case of Small Samples," Annals of Operations Research, 191-209.
  • LAURENT, C.R. (1979), "Improving the Effieieney and Effeetiveness of Finaneial Ratio Analysis," Journal of Business FinanceEtAccounting, 401-413.
  • MEAR, R./M.FIRTH, M. (1986), " A Note on the Finanejal Variable and Ratio Strueture of New Zealand Listed Companies," Accounting and Finance, 47-56.
  • PINCHES, G.E.I MINGO, K.A. (1973), "A Multivariate Analysis of Industrial Bond Ratings," Journal of Finance, 1-1.
  • RAGSDALE, C./STAM, A. (1991), "Mathematieal Programming Formulations for the Discriminant Problem: an Old Dog does New Trieks," Decision Sciences, 22: 296-306.
  • SUEYOSHI, T. (1999), "DEA-Diseriminant Analysis in the View of Goal Programming," European Journal of Operational Research, 115: 564-582.
  • SUEYOSHI, T. (2001), "Extended DEA- Diseriminant Analysis," European Journal of Operattonal Research, 131: 324-352.
  • SUEYOSHI, T. (2004), "Mixed Integer Programming Approaeh of Extended DEA-Discriminant Analysis," European Journal of Operattona/ Research, 152: 45.55.
  • WALLlN, J.lSUNDGREN,S. (1995), "Using Linear Programming to Predict BusinessFailure: An Empirical Study," NAN Research Papers, http://accounting. rutgers.edul NAN/Papersl .
  • ZAVGREN,C.V. (1983), "The Prediction of Corporate Failure: the State of the Art," Journalaf Accounting Literature, 1-18 .

BANKA BAŞARISIZLIKLARININ DÜZELTİLMİŞ MİNİMUM SAPMA MODELİ İLE TAHMİN EDİLMESİ

Year 2006, , 89 - 109, 01.02.2006
https://doi.org/10.1501/SBFder_0000001338

Abstract

References

  • AKTAŞ, R.I KARACAER, S.I KARACABEY, A.A. (2001), "Mali Oranlar Arasındaki ilişkilerin Faktör Analizi ile incelenmesi," .Muhasebe Bilim Dünyası Dergisi, CHt 3, Sayı 1: 9-28.
  • ALTMAN, E.I.INELSON, A.D. (1968), ~'Financial Ratios, Diseriminant Analysis and the Predietion of Corporate Bankruptey," Journal of Finance, 23: 589-609.
  • ASPAROUKHOV, O.K/STAM, A. (1997), "Mathematieal Programming Formulations for Two-group Classifieation with Binary Variables," Annals of Operations Research, 74:89.112.
  • BARNES, P. (1987), "The Analysis and Use of Finanejal Ratios: A Review Article," Journal of Business FinanceEtAccounting: 449-461.
  • CANBAŞ, s./ÇABUK, A.,/KILlÇ, S.B. (2004), "Predietion of Commercial Bank Failure via Multivariate Statistieal Analysis of Finaneial Struetures: The Turkish Case," European Journal of Operational Resarch (Article in Press).
  • FREED, N.lGLOVER, F. (1981a), "A Linear Programming Approaeh to the Diseriminant Problem," Decision Sciences, 12: 68-74.
  • FREED, N.lGLOVER, F. (1981b), "Simple but Powerful Goal Programming Formulations for the Discriminant Problem," European Journal of Operational Resarch, 7: 44-60.
  • GLOVER, F. (1990), "Improved Linear Programming Models for Diseriminant Analysis," Decision Sciences, 21: 771-785.
  • GUPTA, Y./R. RAO, BAGCHI, P. (1990), "Linear Goal Programming as an Alternative to Multivariate Diseriminant Analysis," Journol of Business Finance and Accounting, 17: 593-598.
  • HORRIGAN, J.O. (1965), "Some Emprieal Bases of Finaneial Ratio Analysis," Accounting Review, 558-568.
  • JOHNSON, W.B. (1978), "The Cross Sectional of Finaneial Patterns," Journal of Business financeEtAccounting, 207-214.
  • KARACABEY, A.A. (2003), "Matematiksel Programlama ile Sınıflandırma," Savunma Bi/imleri Dergisi, VoL.2, No:1.
  • KLINE, P. (1994), An Easy Guide to Factor Analysis (London: Routledge).
  • KONNO, H.lKOBAYASHI, H. (2000), "FaHure Diserimination and Rating of Enterprises by Semidefinite Programming," Asia-Pacific Financial Markets, 7: 261-273.
  • LOUCOPOULOS, C./PAVUR, R. (1997), "Experimental Evaluation of the Classificatory Performance of Mathematical Programming Approaches to the Three-group Discriminant Problem: the Case of Small Samples," Annals of Operations Research, 191-209.
  • LAURENT, C.R. (1979), "Improving the Effieieney and Effeetiveness of Finaneial Ratio Analysis," Journal of Business FinanceEtAccounting, 401-413.
  • MEAR, R./M.FIRTH, M. (1986), " A Note on the Finanejal Variable and Ratio Strueture of New Zealand Listed Companies," Accounting and Finance, 47-56.
  • PINCHES, G.E.I MINGO, K.A. (1973), "A Multivariate Analysis of Industrial Bond Ratings," Journal of Finance, 1-1.
  • RAGSDALE, C./STAM, A. (1991), "Mathematieal Programming Formulations for the Discriminant Problem: an Old Dog does New Trieks," Decision Sciences, 22: 296-306.
  • SUEYOSHI, T. (1999), "DEA-Diseriminant Analysis in the View of Goal Programming," European Journal of Operational Research, 115: 564-582.
  • SUEYOSHI, T. (2001), "Extended DEA- Diseriminant Analysis," European Journal of Operattonal Research, 131: 324-352.
  • SUEYOSHI, T. (2004), "Mixed Integer Programming Approaeh of Extended DEA-Discriminant Analysis," European Journal of Operattona/ Research, 152: 45.55.
  • WALLlN, J.lSUNDGREN,S. (1995), "Using Linear Programming to Predict BusinessFailure: An Empirical Study," NAN Research Papers, http://accounting. rutgers.edul NAN/Papersl .
  • ZAVGREN,C.V. (1983), "The Prediction of Corporate Failure: the State of the Art," Journalaf Accounting Literature, 1-18 .
There are 24 citations in total.

Details

Primary Language Turkish
Journal Section Research Articles
Authors

A. Argun Karacabey This is me

Publication Date February 1, 2006
Submission Date July 31, 2014
Published in Issue Year 2006

Cite

APA Karacabey, A. A. (2006). BANKA BAŞARISIZLIKLARININ DÜZELTİLMİŞ MİNİMUM SAPMA MODELİ İLE TAHMİN EDİLMESİ. Ankara Üniversitesi SBF Dergisi, 61(02), 89-109. https://doi.org/10.1501/SBFder_0000001338
AMA Karacabey AA. BANKA BAŞARISIZLIKLARININ DÜZELTİLMİŞ MİNİMUM SAPMA MODELİ İLE TAHMİN EDİLMESİ. SBF Dergisi. February 2006;61(02):89-109. doi:10.1501/SBFder_0000001338
Chicago Karacabey, A. Argun. “BANKA BAŞARISIZLIKLARININ DÜZELTİLMİŞ MİNİMUM SAPMA MODELİ İLE TAHMİN EDİLMESİ”. Ankara Üniversitesi SBF Dergisi 61, no. 02 (February 2006): 89-109. https://doi.org/10.1501/SBFder_0000001338.
EndNote Karacabey AA (February 1, 2006) BANKA BAŞARISIZLIKLARININ DÜZELTİLMİŞ MİNİMUM SAPMA MODELİ İLE TAHMİN EDİLMESİ. Ankara Üniversitesi SBF Dergisi 61 02 89–109.
IEEE A. A. Karacabey, “BANKA BAŞARISIZLIKLARININ DÜZELTİLMİŞ MİNİMUM SAPMA MODELİ İLE TAHMİN EDİLMESİ”, SBF Dergisi, vol. 61, no. 02, pp. 89–109, 2006, doi: 10.1501/SBFder_0000001338.
ISNAD Karacabey, A. Argun. “BANKA BAŞARISIZLIKLARININ DÜZELTİLMİŞ MİNİMUM SAPMA MODELİ İLE TAHMİN EDİLMESİ”. Ankara Üniversitesi SBF Dergisi 61/02 (February 2006), 89-109. https://doi.org/10.1501/SBFder_0000001338.
JAMA Karacabey AA. BANKA BAŞARISIZLIKLARININ DÜZELTİLMİŞ MİNİMUM SAPMA MODELİ İLE TAHMİN EDİLMESİ. SBF Dergisi. 2006;61:89–109.
MLA Karacabey, A. Argun. “BANKA BAŞARISIZLIKLARININ DÜZELTİLMİŞ MİNİMUM SAPMA MODELİ İLE TAHMİN EDİLMESİ”. Ankara Üniversitesi SBF Dergisi, vol. 61, no. 02, 2006, pp. 89-109, doi:10.1501/SBFder_0000001338.
Vancouver Karacabey AA. BANKA BAŞARISIZLIKLARININ DÜZELTİLMİŞ MİNİMUM SAPMA MODELİ İLE TAHMİN EDİLMESİ. SBF Dergisi. 2006;61(02):89-109.