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Young and newly listed firms who bankrupt more likely in 5 years, have limited historical records. Assessing financial failure risks and predicting bankruptcies is essential for investors and creditors to with data that limited to time. In this study, Ran Lojistik Corporation, who realized financial failure, is analyzed by failure risk prediction models and traditional financial methods. We determined the earliest time period of first abnormal signals by examining overall models and methods. According to our findings Altman Z-score predicts failure from the first quarter but does not signal for a specific quarter. Shirata Z-score is not worked to predict, also accounting betas that we estimate do not signal itself but used for overall examination. We obtained the signalled quarters by traditional methods’ examination. Overall, we considered all the methods and models together and determined the appearance of many anomalies is in 2011/6. Ozet Bircok genc sirket ilk 5 yil icerisinde iflas noktasina gelmektedir ve borsaya yeni kote olan sirketlerin de halka acik verileri en cok 3 yil geriye gitmektedir. Bu durum yatirimcilar ve kredi verenlerin kisitli veri ile finansal basarisizlik riskinin hesaplanmasi ve finansal sikisiklik tahminlemelerini guclestirmektedir. Calismada, finansal basarisizlik yasamis olan Ran Lojistik AŞ. farkli finansal basarisizlik riski modelleri ve geleneksel yontemlerle analiz edilerek verilere iliskin ilk anormal sinyallerin alindigi donem belirlenmeye calisilmistir. Bulgularimiza gore, klasik tahmin modellerinin yani sira mali tablolar da analiz edilerek bir degerlendirme yapildiginda iflasi isaret eden donemler belirlenebilmektedir. 2011/6 donemi bircok anomalinin ortaya ciktigi bir donem olarak belirlenmistir.

journal of human sciences

Is it possible to predict financial failure with limited data? Ran Logistics Corp. Case&lt;p&gt;Finansal başarısızlık tahmini kısıtlı veri ile mümkün mü? Lojistik Sektöründen bir örnek: Ran Lojistik Hizmetleri A.Ş