Lojistik Regresyon Modeli İle Finansal Başarısızlık Tahmini: Borsa İstanbul’da Bir Uygulama / Predicting Financial Failure Using the Logistics Regression Model: Evidence from Istanbul Stock Exchange

Year 2023, , 184 - 202, 15.04.2023

Zeynep Çolak

https://doi.org/10.29216/ueip.1178850

Cited By: 1

Abstract

Globalleşen dünyada, firmaların temel amaçları piyasa değeri maksimizasyonunu sağlamak ve finansal başarılarını devam ettirmektedir. Firmalar artan rekabet koşulları ve krizler karşısında piyasadaki varlıklarını devam ettiremedikleri takdirde finansal başarısızlık ile karşı karşıya kalmaktadırlar. Çalışmada, Borsa İstanbul A.Ş. (BIST)’de işlem gören toptan ve perakende ticaret sektöründeki şirketlerin (toptan 10; perakende 13) 2017-2021 dönemine ait yıllık finansal tabloları ve açıklamaları kullanılarak finansal başarısızlık tahmini yapılması amaçlanmıştır. Yapılan Lojistik Regresyon analizi sonuçlarına göre 3 yıl için başarılı tahmin oranı % 86.7 ile % 93.8 oranları arasında değişmektedir. Kullanılan modellerin doğru sınıflama başarılarını göz önüne alındığında, lojistik regresyon modeli tahminlerinin işletme finansal başarı ya da başarısızlığını önceden tahmininde iyi bir araç olduğu görülmektedir.

Keywords

Borsa İstanbul, Lojistik Regresyon, Finansal Başarısızlık tahmini

Supporting Institution

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Project Number

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Thanks

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Predicting Financial Failure Using the Logistics Regression Model: Evidence from Istanbul Stock Exchange / Lojistik Regresyon Modeli İle Finansal Başarısızlık Tahmini: Borsa İstanbul’da Bir Uygulama

Abstract

In the globalizing world, the main objectives of companies are to make market value maximization and maintain their financial performance. Firms face financial failure if they cannot maintain their presence in the market in the face of increasing competition conditions and crises. In the study, it is aimed to make an estimation of financial failure by using the annual financial statements of the companies in the wholesale and retail sale trade sector (10 wholesale; 13 retail) operating in the Istanbul stock exchange for the period 2017-2021. According to the results of the Logistic Regression analysis, the successful prediction rate for 3 years varies between 86.7 % and 93.8 %. Considering the correct classification success of the models, it seems that logistic regression model estimations are a good tool for predicting the financial performance or failure of the business.

Keywords

Logistik regressiaon analysis, Financial Failure Predicting, Borsa Istanbul

Project Number

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