Recent studies have examined the relationship between economic policy uncertainty and exchange rate. We contribute to this literature by considering the effect of minor positive and major positive changes as well as minor negative and major negative changes in the economic policy uncertainties on the exchange rates. In this regard, we use a recently developed multiple asymmetric threshold nonlinear ARDL model along with Granger causality in quantile test. Our estimates support the asymmetric effect in three countries only when an asymmetric ARDL model is used. However, these estimates support asymmetric effects for all the sample countries when the multiple asymmetric threshold nonlinear ARDL model is used. Moreover, the effect varies across various quantiles when Granger causality in quantile test is used. Overall, the extended model helps us to examine more minutely the impact of EPU and GEPU on the exchange rate in G7 countries. The results of this study can be useful for the central banks to devise appropriate policies to intervene in the foreign exchange market.

The aim of this study is to analyze the dynamics of the housing market in Turkey’s economy and to examine the impact of variables related to housing prices. Preferred by many international housing investors, Turkey hosts profitable real estate investments as one of the developing countries with a shining housing market. This study applies the dynamic model averaging (DMA) methodology to predict monthly house price growth. With the increasing use of information technologies, Google online searches are incorporated into the study. For this purpose, twelve independent variables, with the Residential Property Price Index as the dependent variable, were used in the period January 2010–December 2019. According to the analysis results, it was observed that some variables, such as bond yields, the level of mortgages, foreign direct investments, unemployment, industrial production, exchange rates, and Google Trends index, are determinants of the Residential Property Price Index.

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.

 İbrahim Halil EKŞİ  ÖzFinansal sistemin en önemli kurumlarından bankalar, reel sektörün finansman ihtiyacını karşılaması bakımından önemli bir fonksiyon icra etmektedir. Bankaların fonlama kapasitelerini etkileyebilecek ülkeye özgü makro faktörler olduğu kadar firma ve bankalara özgü mikro faktörler de bulunmaktadır. İşte çalışmamızda, varlık kalitesini ifade etme anlamında, takipteki kredilerin bankaların kredi verme davranışı üzerinde etkili olup olmadığı Türkiye'deki mevduat bankaları üzerinde analiz edilmiştir. THE EFFECT OF ASSET QUALITY ON BANK LENDING BEHAVIOUR AbstractBanks are one of the most important institutes of financial system. Banks execute an important function on real sector to solve its financial needs. There should be countries' macro factors that affect bank funding along with corporations' and banks' micro factors. Consequently, in our study, to express assets quality, we analyze the effects of nonperforming loans on giving or opening loan accounts on Turkey's deposit banks. Total 13 deposit banks quarterly data gathered from The Banks Association of Turkey between the dates of 2006-4Q 2014-3Q. As a result of implementing Dynamic Panel Data Analysis Method, as expected, nonperforming loans / total loans and its one lagged values have significant and negative effect on loans / total assets variables. Using as controlling variable noninterest income / total operations income and deposit / total liabilities variables, again as expected have significant and positive effect on loans.

Bu çalışmanın amacı, Türkiye'de sermaye yeterlilik oranlarının bankaların kârlılıkları üzerinde etkisinin olup olmadığının araştırılmasıdır. Aynı zamanda sermaye yeterliliklerinin bankaların kârlılıkları üzerindeki etkisi konvansiyonelkatılım bankalarına göre karşılaştırılacaktır. Bu amaçla, Türkiye'de bankacılık sektöründe faaliyet gösteren aktif büyüklüklerine göre en büyük 10 banka ile (7'si özel, 3'ü kamu bankası) 3 katılım bankasının 2011-2016 çeyrek dönem verileri kullanılarak sermaye yeterlilikleri ve kârlılıkları karşılaştırılmıştır. Çalışmanın uygulama kısmında yöntem olarak panel veri analizi kullanılmıştır. Veriler Türkiye Bankalar Birliğinin ve Türkiye Katılım Bankaları Birliğinin resmi sitelerinden alınmıştır. Çalışmanın sonucunda, bankaların sermaye yeterliliklerinin bankaların kârlılıkları üzerinde etkisinin olduğu sonucuna varılmıştır. Ancak sermaye yeterliliği katılım ve konvansiyonel bankalar arasında farklılaşmamıştır. Başka bir ifade ile sermaye yeterliliğinin bankaların kârlılıkları üzerinde etkisi incelenirken katılım bankaları ve konvansiyonel bankalar anlamlı farklılık göstermemiştir. Sermaye Yeterlilik Oranından en çok Albaraka Türk Katılım Bankası, en az Halk Bankası etkilenmektedir.