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.
Studying the relation between corruption perception and financial markets and examining its consequences for the financial system have attracted many researchers in recent years. To understand the effect of it's to financial markets is important for especially emerging countries. This paper examined the impact of Corruption Perception Index (CPI), government size, openness, and GDP on the financial development using the Generalized Method of Moment (GMM) approach of 19 Eastern Europe and Central Asia countries for the period 2012 to 2017 as yearly dates. Our findings suggest that there is not a relationship between the level of corruption perception and financial development.
The phenomenon of financial stability has gained importance as monetary and fiscal policies aiming at price stability in the global crises are not sufficient to prevent financial crises. After 2007 global crisis, the importance of bank stability better understood. This paper investigates the determinant of bank stability in selected Balkan countries and Turkey. For this aim, we used to Z-score and NPL as dependent variables. We used bank performance, financial structure and macro variables as independent variables. According to ANOVA test and regression analysis, the strongest correlation between non-performing loans as the dependent variable of the Western and some EU Member countries (Bosnia and Herzegovina,
The manufacturing sector plays an important role in the development of modern economy all over the world. Manufacturing -as a sub -sector of the industry-refers to the production of raw materials and other factors of production, such as labor, land and capital, or goods and services through the production process. With the multiplier effect, the share of the manufacturing industry sectors in the world value added is around 20%. Similarly, the sector also covers about 1 in 9 of the total employment in the world (UNIDO, 2017). As to put it, the share of the sector in GDP is also very high and crucial. For example, in Turkey, the average manufacturing industry share in total GDP is 40% but it varies yearly. While the shares of agriculture and service sectors in GDP were declining in years recently, the share of the industrial sector was increasing (BAT, 2017).To fully realize the importance of the industry in evaluating the above figures, the interaction between the other sectors of the industrial sector and other economic activities on the economy scale has been examined for many years. In the 1920s, British economist Allyn Young suggested that network-type connections between sectors of this type were the
Nuri Hacievliyagil, Ibrahim Halil Eksi
AbstractThis study examines the relationship between bank credits and performance and growth of manufacturing sub-sectors. Industrial Production Index was used for a different approach as a dependent variable. Indications of the autoregressive distributed lag (ARDL) bound co-integration test support the theory that bank credits are more effective than loan rates on industrial production of sub-sectors. Moreover, the increase in bank credit leads to the rise of industrial production in all the sub-sectors, except Machinery. According to the Toda Yomamato causality test results, there are different degrees of causalities in means of the importance of bank loans for industrial production. On the other hand, in all sub-sectors except machinery and chemical sub-sectors, causality relations were observed at different grades beginning from loan interest rates to industrial production. As a result, this study concludes with the evidence of supply leading hypothesis via the financial sector leads and causes economic growth.
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