This study investigates the relationship between ownership structure and corporate performance of 50 companies, listed in manufacturing industry on the Istanbul Stock Exchange during the 2005-2008 period. The study uses the share of the largest shareholder as ownership structure variables, tobin’s q and profit before tax divided by total asset as performance variables, and leverage and firm size (total asset) as control variables. For variables, first panel unit root and Hausman tests were made and then panel data analysis were applied. Accoarding to the result of analysis, while TLS were observed to have possitive effect on PBT,no effects were observed on TOB.
A bank, particularly in developing countries like Turkey, is one of the most important institutions in the financial sector. Therefore knowing the factors affecting the performance of banks is important for the development of the sector. One of the factors affecting the risk and profitability of banking sector is the internal factors of the banks. The aim of this paper is to investigate the board of directors’ characteristics and its effect on risk level measured by non-performing loans and on bank performance measured by asset profitability using the Generalized Method of Moments (GMM) estimator. Data from nineteen deposit banks for the period 2012–2018 were used. The result of the study determined that the board size, foreign board members and the independent board members have an effect on both non-performing loans and the return on assets.
Öz: Finansal başarısızlık, işletmelerin geleceğini tehdit etmesinin yanında, başarısız işletme sayısının artması aynı zamanda ülkenin ekonomik büyümesi üzerinde olumsuz etki bırakacaktır. Mali başarısızlığı etkileyen işletme içi ve dışı birçok faktör saymak mümkündür. Başarısızlığı önceden öngörmek ve bunun neticesinde tedbirler alıp sıkıntılı durumdan kurtulmak, işletmeler açısından önemli bir yere sahiptir. Finansal başarısızlığın önceden tahmini konusunda birçok modeller geliştirilmiştir. Bu modeller daha çok istatistiki teknikler ve yapay zekâ teknikleridir. Bu çalışmada da yapay zekâ tekniklerinden olan yapay sinir ağları ve destek vektör makinaları kullanılmıştır. Ayrıca kullanılan modellerin performansları ROC eğrileri ile ölçülmüştür. Çalışmada iki modelin performansları karşılaştırılmış, yapılan sınıflandırmanın doğruluk yüzdeleri hesaplanmıştır.
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