EVALUATION OF TURKISH DOMESTIC AND FOREIGN BANKS BY USING FINANCIAL RATIOS

Transcription

1 EVALUATION OF TURKISH DOMESTIC AND FOREIGN BANKS BY USING FINANCIAL RATIOS Ekrem Tufan Anadolu University, Open Education Faculty-Turkey Tel: Bahattin Hamarat Canakkale Onsekiz Mart University College of Tourism and Hotel Management-Turkey Tel: (1545) Mirela Cristea University of Craiova, Faculty of Economy and Business Administration Tel: Laura Giurca Vasilescu University of Craiova, Faculty of Economy and Business Administration Tel: Abstract In banking system, being a domestic or foreign bank can be an especially important managerial success. In the literature, it has been claimed that foreign banks are more successful than domestic ones. The reason for this can be having more global knowledge and using more professional tactics in banking transactions. On the other hand, to be familiar with its society s culture can be an opportunity for domestic banks. In this study, Turkish banks have been evaluated with using financial ratios taking into consideration domestic and foreign equity. The banks have also been ranked according to success. To achieve this, principal components analysis and discriminant analysis have been applied Keywords: Turkish banking system, financial ratios, principal components analysis and discriminant analysis. JEL codes: G21 814

2 1. Introduction Over the past two decades emerging markets have opened up to direct foreign participation through the ownership of domestic financial institutions which mainly banking system. There is an argument about negative and positive effects foreign participation on banking system and economy. Some of researchers assert that foreign participation in banking system, increase the variety and quality of banking services and economic stability and bring new technology, capital, experience and credit evaluation techniques. Claessens and et all (2001), have searched extent and effect of foreign presence in domestic banking markets. They have used bank observations from 80 countries for the periods. They have specifically investigated how net interest margins, overhead, taxes paid and, profitability differ between foreign and domestic banks. They report that foreign banks have higher profits than domestic banks in developing countries, but the opposite is the case for developed countries. They also claim that an increased presence of foreign banks is associated with a reduction in profitability and margins for domestic banks 1. Lensink and et all (2004) have searched the short term effects of foreign bank entry on the behaviour of the domestic banking sector. The researchers have based their research on Claessens and et all s (2001) study. They have used two different variables to measure the effect. The data set covers periods. First of all, they have taken ratio of the number of foreign banks to the total number of banks in the host country to measure at the sheer presence of foreign banks. Secondly, they have used the share of foreign bank assets to total bank assets of the host country which measures size of foreign banks as compared to their domestic counterparts. Then the researchers have constructed variables reflecting domestic bank behaviour. They have chosen variables measuring income, profits and cost of domestic banks. The researchers have reported that at lower levels of economic development foreign bank entry is generally associated with higher costs and margins. At higher levels of economic development the effects appear to be less clear. Foreign bank entry is either associated with a fall of costs, profits and margins of domestic banks, or is not associated with changes in these domestic bank variables 2. 1 Claessens Stijn, Aslı Demirgüç Kunt and Harry Huizinga, How does foreign entry affect domestic banking markets, Journal of Banking and Finance, 2001, 25,pp Lensink Robert and Niels Hermes, The short-term effects of foreign bank entry on domestic bank behaviour: Does economic development matter?, Journal of Banking and Finance, 2004, 28, pp

3 Sturm and Williams (2003) have investigated impact of foreign bank entry on banking efficiency in Australia during the post-deregulation period The researchers have applied Data Envelopment Analysis, Malmquist Indices and stochastic frontier analysis and reported foreign banks more efficient than domestic banks, which however did not result in superior profits 3. Dages and et all. (2000) have sought to contribute to the debate on financial sector openness in emerging markets by reviewing the experiences of Mexico and Argentina with regard to foreign bank local lending. They have reported that in both countries, foreign banks exhibited stronger loan growth than all domestically owned banks and had lower associated volatility, contributing to greater stability in overall financial system credit. Additionally, in both countries, foreign banks showed notably credit growth during economic crises periods and thereafter. They claim that bank health, and not ownership per se, has been the critical element in the growth, volatility, and cyclicality of bank credit. They also assert diversity in ownership has contributed to greater stability of credit and financial system weakness 4. Haselmann (2006) has investigated foreign banks effect on transition countries and reports that the high market share of foreign banks in transition economies have a positive effect. The researcher also reports that foreign banks play a stabilizing role in the credit markets and hold onto their credit base during periods of financial instability. Thus, there is no evidence for financial fragility caused by foreign banks 5. Craft and et all (2006) have investigated privatization, foreign bank entry and bank efficiency in Croatia for 1994 to To achieve this, the researchers have estimated a Fourier-flexible frontier cost function. They report that new private and privatized banks, contrary to some expectations, are not the most efficient banks through most of the period. Privatization also has not an immediate effect on improved efficiency. Foreign banks have substantially better efficiency scores than all categories of domestic banks 6. 3 Sturm Jan Egbert and Barry Williams, Foreign bank entry, deregulation and bank efficiency: Lessons from the Australian experince, Journal of Banking & Finance 28 (2004), pp Dages B. Gerardi Linda Goldberg and Daniel Kinney, Foreign and domestic bank participation in emerging markets: Lessons from Mexico and Argentine, Economic and Policy Review, 2000, 6, 3, pp Haselmann Rainer, Strategies of foreign banks in transition economies, Emerging Market Review, 2006, Vol:7, issue:4, pp Kraft Evan, Richard Hoffler and James Payne, Privatization, foreign bank entry and bank efficiency in Croatia: A Fourier-flexible function stochastic cost frontier analysis, Applied Economics, 2006, Vol: 38, pp

4 Tennant and Kirton (2007) have searched the impact of foreign direct investment and financial crises with interviewed Jamaican managers. They provide some evidence on foreign owned financial institutions may be less effective than indigenous institutions in effectively allocating resources. They also claim that indigenous financial institutions tended to support this channel to growth more than foreign-owned institutions while foreign-owned institutions reflected a tendency to blame their poor performance in resource allocation on factors outside of their control, compared with indigenous institutions that were more likely to implement measures to correct the situation 7. Berger (2007) has reviewed the findings of over 100 studies that provide such comparisons. The researcher has divided the studies into three categories (1) comparisons of bank efficiencies in different nations using a common frontier, (2) comparisons of bank efficiencies in different nations using nation-specific frontiers, and (3) comparisons of efficiencies of foreign-owned versus domestically owned banks within the same nation using the same nation specific frontier. Berger also states that advantages and disadvantages are significant and differ substantially depending on whether the host nation is a developed or developing nation. The research in the third category generally suggests that in developed nations, the efficiency disadvantages of foreign-owned banks relative to domestically owned banks tend to outweigh the efficiency advantages on average 8. Foreign bank effect on SME and retail markets subject has been investigated by Haas and Naaboork (2006). They have focused interviews with managers of foreign parent banks and their affiliates in Central Europe and the Baltic States to analyze the small-business lending and internal capital markets of multinational financial institutions. They report that the acquisition of local banks by foreign banks has not led to a persistent bias in these banks credit supply toward large multinational corporations. Instead, increased competition and the improvement of subsidiaries lending technologies have led foreign banks to gradually expand into the SME and retail markets. Second, it is demonstrated that local bank affiliates are strongly influenced by the capital allocation and credit steering mechanisms of the parent bank 9. 7 Tennant David and Claremont Kirton, The Impact of Foreign Direct Investment, Financial Crises and Organizational Culture on Managers Views as to the Finance-Growth Nexus, Journal of Economic Issues, September 2007, Vol: XLI, No:3, pp Berger Allan N., International Comparisons of banking Efficiency, Financial Markets, Institutions & Instruments, August 2007, Vol:16, No:3, pp Haas De Ralph and Ilko Naaborg, Foreign banks in transition countries: To whom do they lend and how are they financed?, Financial Markets, Institutions & Instruments, V. 15, No. 4, November 2006, pp

5 2. Some Turkish Studies on Domestic and Foreign Banks Güngör (2007) has searched the factors which effect to bank profitability. To determine which factors affect the researcher applied panel data analysis using 29 bank data covering periods for Turkey. According to study, both micro and macro factors have significant impacts on bank profitability and except operating expenses variable all factors have similar effects on domestic and foreign bank profitability 10. Turkish public and private banks and foreign banks showed different achievements in financial ratios. A paper has been presented by Ünsal and Duman 11 in this subject in VII. National Econometrics and Statistics Symposium. They have investigated 32 public, private and foreign banks performance where located in Turkey with using Factor Analysis. They report that the public banks are relatively more successful in financial ratios than other banks except equity ratios in first half of the 2003 while private banks seized in second half. Another paper has been presented by Ünsal and Güler 12 in classification of banks subject and searched which methods are the best to do it. Their data set covered periods and they report that either classification or foresight logistic regression analysis is better than discriminant analysis. Işık and Hassan (2002) have examined the effect of bank size, corporate output, and governance, as well as ownership, on the cost and alternative profit efficiencies of Turkish banks by employed stochastic frontier approach. They found that the average profit efficiency is 84% for Turkish banks and the degree of linkage between cost and profit efficiency was significantly low 13. In this research, it will be investigated if foreign banks are more successful than domestic banks in Turkey. 10 Güngör Bener, Türkiye de faaliyet gösteren yerel ve yabancı bankaların karlılık seviyelerini etkileyen faktörler: Panel veri analizi, Đktisat-Đşletme ve Finans Dergisi, September 2007, Vol: 258, pp Ünsal Aydın and Sibel Duman, Türkiye deki bankaların Performanslarının Temel Bileşenler yaklaşımı ile Karşılaştırmalı Analizi, May 2005, VII. Ulusal Ekonometri ve Đstatistik Sempozyumu: Đstanbul, 12 Ünsal Aydın and Hüseyin Güler, Türk bankacılık Sektörünün Lojistik Regresyon ve Diskriminant Analizi ile Đncelenmesi, May 2005, VII. Ulusal Ekonometri ve Đstatistik Sempozyumu: Đstanbul, 13 Isık Đhsan and M. Kabir Hassan, Cost and profit efficiency of the Turkish banking industry: An empirical investigation, The Financial Review, 2002, Vol: 37, pp

6 3. Data and methodology In this study, it has been searched 17 domestic and 8 foreign depository banks where located in Turkey for 2006 success with applying Principal Component Analysis (PCA) and investigated if they are correctly classified with applying Logistic Regression Method. Data matrix has constructed as balance sheet ratios, assets quality, liquidity, profitability, incomeexpenditure structure, share of banking sector, share of group, share of branch and activity ratios. The data derive from Turkish Central Bank of the Republic of Turkey (CBRT) database and the ratios which have been used and names of banks are given in annexes. PCA procedure simultaneously quantifies categorical variables while reducing the dimensionality of the data. The goal of principal components analysis is to reduce an original set of variables into a smaller set of uncorrelated components that represent most of the information found in the original variables. The technique is most useful when a large number of variables prohibit effective interpretation of the relationships between objects (subjects and units). By reducing the dimensionality, you interpret a few components rather than a large number of variables 14. In PCA a set of p correlated variables is transformed to a smaller set of uncorrelated hypothetical constructs called principal components (PCs). The PCs are used to discover and interpret the dependences that exist among the variables, and to examine relationships that may exist among individuals. The PCs may be used to stabilize estimates, evaluate multivariate normality, and to detect outliers 15. Logistic Regression is a method used to determine cause and effect relations with explanatory variables where the response variable is observed in binary, triple and multiple categories. This model, according to explanatory variables (in this study they are banks financial ratios as a ratios groups), is a regression model from which the expected values of the response variable were obtained as a probability (Özdamar 2002). The main idea behind the Logit Model is the logistic distribution function shown below: P i 1 Pr(Y = 1X ) = i 1+ e = (1) (β1+ β2xi) 14 SPSS 10.0 Help 15 Neil Timm, Applied Multivariate Analysis, Secaucus, NJ, USA, Springer-Verlag New York, Incorporated, 2002, p

7 Here, β 1, β 2 indicate coefficients of regression. It has been benefited from the characteristic of the logistic regression which give a chance to classify in rules of probability with calculate as a probability of estimated values of dependent variable. In this study, the independent variable has been built in deference to being domestic or foreign bank and it covers 25 domestic and foreign depository banks where located in Turkey. So, the hypothesis has been build as below with considering foreign banks are much successful than domestic one which usually being claimed in the literature. 5. Findings C 0, domestic ( unsuccesfull) bank = i 1, foreign ( succesfull ) bank First of all, it has been characterised the differences of the groups and tested if classification of the banks is correct with applying logistic regression. Then it has been achieved successful classification of the banks. Table 1 shows wrong classification situation of the banks. As it can be seen Table 1, the most wrong classification are seen in foreign banks group. Table 1. Wrong Classification Situation of the Banks Ratio Groups Banks Domestic:0 Foreign: 1 Equity ratios Balance sheet structure ratios Active quality ratios Liquidity ratios Profitability Income Expenditure Share in sector Share in group Branch ratios Activity ratios Total Ziraat Bank 0 X 1 Halk Bank 0 Vakıfbank 0 Adabank 0 X 1 Akbank 0 X 1 Alternatif Bank 0 Anadolubank 0 Oyak Bank 0 X X 2 Şekerbank 0 Tekfenbank 0 Tekstil Bank 0 X 1 Turkish Bank 0 Turkland Bank 0 X 1 Türk Ekonomi 0 X X 2 Bank Garanti Bank 0 X X 2 Đş Bank 0 Yapı ve Kredi Bank 0 820

8 Arap Türk Bank 1 X X X 3 Citibank 1 X X X X X 5 Denizbank 1 X X X X X X X 7 Deutsche Bank 1 X X X 3 Finansbank 1 X X X X X 5 Fortis Bank 1 X X X X X X 6 HSBC Bank 1 X 1 Millennium Bank 1 X X X 3 As a group banks equity ratios have been classified 84% correctly. Foreign banks are classified 75% correctly while domestic banks 88,2%. Citibank and Finansbank are not classified correctly and they should be in domestic group. Because they respresent domestic bank groups characteristics. Similarly, Tekstil and Turkland Bank should be in foreign banks classifications. Banks balance sheets structure ratios group has classified 84% correctly. In this group, foreign banks have been correctly classified 62,5% while domestics 94,1%. Denizbank, Finansbank and Fortisbank should be in domestic group. It means these banks are not successful as other foreign banks as. On the other hand, Türk Ekonomi Bank should be in foreign bank group. According to liquidity ratios, banks classified 76,2% correctly. In this case, foreign banks are classified 25% correctly while domestic banks 100%. Arap Türk Bank and Deutsche Bank are classified correctly while others are not. Correct classification of profitability ratios is 84%. According to this ratio group, foreign banks correctly classified 50% while domestic banks are 100%. As a foreign banks group members Arap Türk Bank, Denizbank, Finansbank and Fortis Bank are not correctly classified while others classified correctly. When logistic regression applied, it can be said that these banks should be considered as domestic banks group members. According to income-expenditure structure banks are classified 100% correctly. So, there is no bank should be represented in different group. It can be claimed that incomeexpenditure ratios have an important role to classify the banks. Banks are 72% correctly classified for both share of sector and share of group ratios. In this group, foreign banks correctly classification rate is 25% while domestic banks is 94,1%. In foreign banks group, Finansbank and HSBC Bank have not been classified correctly. In domestic banks group, Oyakbank has not been classified correctly and does not represent its group characteristics. 821

9 If we taking consider banks branch ratios, it can be said that banks were 84% correctly classified. In this group, foreign banks have been 74% correctly classified while domestic banks 88,2%. As a foreign banks group members Denizbank and Fortis Bank do not represents their group characteristics and according to logistic regression results they represent domestic banks group characteristics. Similarly, in domestic banks group members Garanti Bank and Türk Ekonomi Bank do not represents their group characteristics and according to logistic regression results they represent foreign banks group characteristics Banks are 100% correctly classified in activity ratios group. After investigating banks classification according to different ratio groups, we have searched their performance considering their ratio groups with applying Principal Component Analysis. The results are shown in Table 2. According to equity ratios, it has been found two principal components which their eigenvalue is higher than 1. These principal components explain total variance of 83,39%. Total variance is being explained by first principal component in 57,01%. Taking account banks balance sheets structure ratios as a performance indicator, it has been found three principal components which explain total variance in 92,4% and eigenvalue is higher than 1. The first principal component explains total variance in 48,7%. If we taking account banks active quality, it has been calculated two principal components which their eigenvalue is higher than 1 and they explain 75,4% of total variance. First principal component explains 55,8% of variance. Because lack of data it has been eliminated two active quality ratios formulas which have been added other calculations. In liquidity ratios two principal components have been calculated which explain total variance s 87% and eigenvalue is higher than 1. The first principal component explains 65% of total variance. If we consider bank profitability, it has been found only one principal component which its eigenvalue higher than 1. This principal component can explain 80% of total variance. For income and expenditure ratios there has been calculated three principal components which are higher than 1 and explain 87,1% of total variances. The first component explains 53,5% of total variances. According to banks groups and sector shares, it has been calculated 1 principal component which eigenvalue bigger than 1 and explains 95,7% of total variance. On the other 822

10 hand, if we taking account banks branch ratios, it has been calculated only one principal component which higher than 1 and explains 77,3% of total variance. Three principal components have been calculated for banks activity ratios which are higher than 1 and explain 82,6% of total variance. The first component explains 37,2% of total variance by itself. 823

11 Table 2. The Results of Principal Component Analysis for Banks Performance Component Total Equity Ratios Balance Sheet Structure Ratios Active Quality Ratios Liquidity Ratios Profitability Ratios Initial Eigenvalues Initial Eigenvalues Initial Eigenvalues Initial Eigenvalues Initial Eigenvalues % of Cumulati % of Variance Cumulative % of Cumulative % of Variance Cumulative % of Variance Cumulative Variance ve % Total % Total Variance % Total % Total % 1 3,99 57,0 57,0 4, ,35 55,8 55,8 3,23 0,65 0,64 3,19 0,80 0,80 2 1,85 26,4 83,39 2, ,77 1,18 19,6 75,4 1,15 0,23 0,87 3 1,32 0,14 0,92 Ranks Banks Scores Banks Scores Banks Scores Banks Scores Banks Scores 1 Yapı ve Kredi Ba 1,0035 Arap Türk Bankas 3,99132 Adabank A.Ş. 7,87696 Adabank A.Ş. 7,41612 Deutsche Bank A. 3, Türk Ekonomi Ban 0,8809 Turkish Bank A.Ş 2,11409 Deutsche Bank A. 1,16838 Deutsche Bank A. 2,93742 Finans Bank A.Ş. 2, Millennium Bank 0,8683 Türkiye Garanti 2,03519 Arap Türk Bankas 1,08576 Turkish Bank A.Ş 1,26025 Türkiye Cumhuriy 2, Alternatif Bank 0,8424 Denizbank A.Ş. 1,93891 Turkish Bank A.Ş 0,93732 Citibank A.Ş. 0,90287 HSBC Bank A.Ş. 1, Denizbank A.Ş. 0,8233 Tekstil Bankası 1,48306 Türkiye Is Banka 0,53459 Türkiye Cumhuriy 0,29264 Akbank T.A.Ş. 1, Oyak Bank A.Ş. 0,7676 Yapı ve Kredi Ba 1,34092 Türkiye Halk Ban 0,46466 Türkiye Is Banka 0,09077 Türkiye Halk Ban 1, Türkiye Garanti 0,6239 Akbank T.A.Ş. 1,15605 Citibank A.Ş. 0,39646 Türkiye Vakıflar -0,03877 Denizbank A.Ş. 1, Anadolubank A.Ş. 0,5481 Alternatif Bank 1,06644 Türkiye Cumhuriy 0,28559 Akbank T.A.Ş. -0,07393 Türkiye Garanti 0, Tekstil Bankası 0,5221 Türk Ekonomi Ban 0,93123 Şekerbank T.A.Ş. 0,16999 Tekfenbank A.Ş. -0,21871 Türk Ekonomi Ban 0, Şekerbank T.A.Ş. 0,5094 Anadolubank A.Ş. 0,73749 Yapı ve Kredi Ba 0,15193 Şekerbank T.A.Ş. -0,32126 Citibank A.Ş. 0, Tekfenbank A.Ş. 0,5074 Fortis Bank A.Ş. 0,51144 Tekfenbank A.Ş. -0,15348 Türk Ekonomi Ban -0,49756 Türkiye Vakıflar 0, Fortis Bank A.Ş. 0,4260 Türkiye Is Banka 0,37567 Türkiye Vakıflar -0,28743 Turkland Bank A. -0,51792 Adabank A.Ş. 0, HSBC Bank A.Ş. 0,4148 HSBC Bank A.Ş. 0,30586 Turkland Bank A. -0,4447 Oyak Bank A.Ş. -0,53433 Anadolubank A.Ş. -0, Finans Bank A.Ş. 0,3513 Finans Bank A.Ş. 0,29626 Anadolubank A.Ş. -0,59743 Fortis Bank A.Ş. -0,6011 Alternatif Bank -0, Citibank A.Ş. 0,3138 Türkiye Vakıflar 0,25754 Akbank T.A.Ş. -0,61424 Türkiye Halk Ban -0,65742 Türkiye Is Banka -0, Türkiye Vakıflar 0,3023 Millennium Bank -0,21986 Türk Ekonomi Ban -0,73002 Finans Bank A.Ş. -0,65784 Şekerbank T.A.Ş. -0, Turkland Bank A. 0,2705 Tekfenbank A.Ş. -0,23098 Türkiye Garanti -0,77371 Tekstil Bankası -0,71428 Yapı ve Kredi Ba -0, Türkiye Is Banka 0,2652 Turkland Bank A. -0,3118 Fortis Bank A.Ş. -0,84791 Arap Türk Bankas -0,71493 Tekfenbank A.Ş. -0, Türkiye Halk Ban 0,2481 Citibank A.Ş. -0,43484 Denizbank A.Ş. -0,93262 Millennium Bank -0,75601 Arap Türk Bankas -0, Akbank T.A.Ş. 0,2430 Oyak Bank A.Ş. -0,52834 Tekstil Bankası -1,06315 Türkiye Garanti -0,75871 Oyak Bank A.Ş. -0, Türkiye Cumhuriy 0,2311 Şekerbank T.A.Ş. -1,79906 Finans Bank A.Ş. -1,11782 Denizbank A.Ş. -0,78639 Fortis Bank A.Ş. -1, Turkish Bank A.Ş -0,234 Deutsche Bank A. -2,23958 Alternatif Bank -1,12284 Alternatif Bank -1,08533 Turkish Bank A.Ş -1, Arap Türk Bankas -0,381 Türkiye Halk Ban -3,15058 Oyak Bank A.Ş. -1,15573 Anadolubank A.Ş. -1,13337 Tekstil Bankası -1, Deutsche Bank A. -0,987 Türkiye Cumhuriy -3,57269 Millennium Bank -1,33513 HSBC Bank A.Ş. -1,2171 Turkland Bank A. -2, Adabank A.Ş. -9,361 Adabank A.Ş. -6,05374 HSBC Bank A.Ş. -1,89542 Yapı ve Kredi Ba -1,6151 Millennium Bank -5,

12 Table 2. Continuation Income-Expenditure Ratios Share in Sector Share in Group Branch Ratios Activity Ratios Initial Eigenvalues Initial Eigenvalues Initial Eigenvalues Initial Eigenvalues Initial Eigenvalues % of Cumulati % of Cumulative % of Cumulative % of Cumulative % of Cumulative Total Variance ve % Total Variance % Total Variance % Total Variance % Total Variance % 1 6,95 0,535 0,535 2,87 0,957 0,957 2,87 0,957 0,957 5,41 0,773 0,773 2,603 0,372 0, ,48 0,191 0,726 1,888 0,270 0, ,89 0,145 0,871 1,293 0,185 0,826 Component Ranks Banks Scores Banks Scores Banks Scores Banks Scores Banks Scores 1 Deutsche Bank 11,2929 Adabank 1,36667 Adabank 1,36672 Turkish Bank 1,5286 Adabank 4, Finans Bank 0,9299 Arap Türk Bank 1,3488 Arap Türk Bank 1,3494 Sekerbank 1,4864 Sekerbank 2, Sekerbank 0,6219 Turkish Bank 1,334 Turkish Bank 1,33369 Oyak Bank 1,1431 Arap Türk Bank 2, Is Bank 0,5698 Turkland Bank 1,32525 Turkland Bank 1,32527 Tekfenbank 1,1094 HSBC Bank 1,7 5 Turkland Bank 0,5033 Deutsche Bank 1,32296 Deutsche Bank 1,32273 Fortis Bank 1,1001 Fortis Bank 0, Tekfenbank 0,3271 Tekfenbank 1,28179 Tekfenbank 1,2806 Anadolubank 0,9062 Turkland Bank 0, Halk Bank 0,1828 Millennium Bank 1,27605 Millennium Bank 1,27616 Denizbank 0,8404 Finans Bank 0, Akbank 0,0985 Alternatif Bank 1,20214 Alternatif Bank 1,20249 Adabank 0,7158 Deutsche Bank 0, Garanti Bank 0,0891 Anadolubank 1,1623 Anadolubank 1,16216 Türk Ekonomi Bank 0,7096 Anadolubank 0, Arap Türk Bank 0,0833 Tekstil Bank 1,15975 Tekstil Bank 1,16047 Tekstil Bank 0,5999 Denizbank -0, Anadolubank -0,0664 Sekerbank 1,04952 Sekerbank 1,04956 Ziraat Bank 0,5745 Citibank -0, Yapı ve Kredi Bank -0,089 Citibank 0,92948 Citibank 0,92947 Halk Bank 0,5534 Alternatif Bank -0, Vakıfbank -0,2364 Fortis Bank 0,71446 Fortis Bank 0,71375 Millennium Bank 0,5128 Tekfenbank -0, Türk Ekonomi Bank 0,69153 Türk Ekonomi Bank 0,69201 Turkland Bank 0,5068 Halk Bank -0,46072 Denizbank -0, Türk Ekonomi Bank -0,511 HSBC Bank 0,47722 HSBC Bank 0,47767 HSBC Bank 0,4515 Türk Ekonomi Bank -0, Turkish Bank -0,5155 Denizbank 0,44205 Denizbank 0,44167 Finans Bank 0,3164 Ziraat Bank -0, Tekstil Bank -0,5828 Oyak Bank 0,38095 Oyak Bank 0,38095 Alternatif Bank 0,1698 Yapı ve Kredi Bank -0, Ziraat Bank -0,5906 Finans Bank -0,11145 Finans Bank -0,11209 Is Bank 0,1629 Tekstil Bank -0, Citibank -0,7605 Halk Bankk -1,09094 Halk Bankk -1,09015 Yapı ve Kredi Bank 0,0948 Oyak Bank -1, Oyak Bank -0,9086 Vakıfbank -1,44165 Vakıfbank -1,44238 Akbank 0,0921 Millennium Bank -1, HSBC Bank -0,9115 Yapı ve Kredi Bank -2,20761 Yapı ve Kredi Bank -2,20745 Arap Türk Bank -0,232 Garanti Bank -1, Alternatif Bank -1,1893 Garanti Bank -2,48612 Garanti Bank -2,48652 Garanti Bank -0,5061 Is Bank -1, Millennium Bank -1,2221 Akbank -2,8551 Akbank -2,85567 Vakıfbank -0,982 Akbank -1, Fortis Bank -1,2262 Ziraat Bank -3,4679 Ziraat Bank -3,46616 Citibank -1,1482 Turkish Bank -1, Adabank -5,3977 Is Bank -3,80415 Is Bank -3,80433 Deutsche Bank -10,706 Vakıfbank -1,

13 6. Conclusion In the literature, usually given evidence favour of foreign banks are more successful than domestic counterparts idea. For example, Claessens and et all (2001), have reported that foreign banks have higher profits than domestic banks in developing countries. Our study gives controversy evidence about it. According to Principal Component Analysis, which ranks the banks using scores, there are five foreign banks in the first ten banks group of profitability ratios where other five are domestic banks. Our results support Ünsal and Duman s paper that they report the public banks are relatively more successful in financial ratios than foreign and Turkish private banks except equity ratios in first half of the 2003 while private banks seized in second half. We can allege that foreign depository banks are not successful than Turkish depository banks. This can be because foreign depository banks have not got too many branches in Turkey. There is high competition in banking system so; banks profit usually comes from credit cards and commissions. Having fewer branches means having fewer customers. Consequently, get less profit. References 1) BERGER, A. N. International Comparisons of banking Efficiency, Financial Markets, Institutions & Instruments, August 2007, Vol:16, No:3, pp ) CLAESSENS, S., ASLI, D., HUIZINGA, K. H. How does foreign entry affect domestic banking markets, Journal of Banking and Finance, 2001, 25, pp ) DAGES B., GOLDBERG, G.L., KINNEY, D., Foreign and domestic bank participation in emerging markets: Lessons from Mexico and Argentine, Economic and Policy Review, 2000, 6, 3, pp ) GÜNGÖR, B. Türkiye de faaliyet gösteren yerel ve yabancı bankaların karlılık seviyelerini etkileyen faktörler: Panel veri analizi, Đktisat-Đşletme ve Finans Dergisi, September 2007, Vol: 258, pp

14 5) HASELMANN, R. Strategies of foreign banks in transition economies, Emerging Market Review, 2006, Vol:7, issue:4, pp ) HAAS De R., NAABORG, I. Foreign banks in transition countries: To whom do they lend and how are they financed?, Financial Markets, Institutions & Instruments, V. 15, No. 4, November 2006, pp ) I, Đ., HASAN, M. K. Cost and profit efficiency of the Turkish banking industry: An empirical investigation, The Financial Review, 2002, Vol: 37, pp ) ÖZDAMAR, K. Paket Programlar ile Đstatistiksel Veri Analizi-1, Kaan Kitabevi Eskişehir pp ) KRAFT, E., HOFFLER, R., PAYNE, J. Privatization, foreign bank entry and bank efficiency in Croatia: A Fourier-flexible function stochastic cost frontier analysis, Applied Economics, 2006, Vol: 38, pp ) LENSINK, R., HERMES, N. The short-term effects of foreign bank entry on domestic bank behaviour: Does economic development matter?, Journal of Banking and Finance, 2004, 28, pp ) NEIL T. Applied Multivariate Analysis, Secaucus, NJ, USA, Springer-Verlag New York, Incorporated, 2002, p ) STURM, J.E., WILLIAMS, B. Foreign bank entry, deregulation and bank efficiency: Lessons from the Australian experince, Journal of Banking & Finance 28 (2004), pp ) SPSS 10.0 Help 14) TENNANT, D., KIRTON, C. The Impact of Foreign Direct Investment, Financial Crises and Organizational Culture on Managers Views as to the Finance-Growth Nexus, Journal of Economic Issues, September 2007, Vol: XLI, No:3, pp ) ÜNSAL A., DUMAN, S. Türkiye deki bankaların Performanslarının Temel Bileşenler yaklaşımı ile Karşılaştırmalı Analizi, May 2005, VII. Ulusal Ekonometri ve Đstatistik Sempozyumu: Đstanbul, 16) ÜNSAL, A., GÜLER, H. Türk bankacılık Sektörünün Lojistik Regresyon ve Diskriminant Analizi ile Đncelenmesi, May 2005, VII. Ulusal Ekonometri ve Đstatistik Sempozyumu: Đstanbul, 827

15 ANNEXESS: 1) FINANCIAL RATIOS Capital ratios Shareholders' Equity / (Amount Subject to Credit Risk X Market Risk X Operational Risk) Shareholders' Equity / Total Assets (Shareholders' Equity-Permanent Assets)/Total Assets Shareholders' Equity/(DepositsXNon-Deposit Funds) On Balance-sheet FC Position / Shareholders' Equity Net on Balance-sheet Position / Total Shareholders' Equity N(onXoff) Balance-sheet Position/Total Shareholders' Equity TC Assets / Total Assets Balance sheet ratios FC Assets / Total Assets TC Liabilities / Total Liabilities FC Liabilities / Total Liabilities FC Assets / FC Liabilities FC Assets / FC Liabilities TC Deposits / Total Deposits TC Loans / Total Loans Funds Borrowed / Total Assets Active Quality Total Loans / Total Assets Total Loans / Total Deposits Loans under follow-up (gross) / Total Loans Loans under follow-up (net) / Total Loans Permanent Assets / Total Assets Consumer Loans / Total Loans Liqiudity Liquid Assets / Total Assets Liquid Assets / Short-term Liabilities TC Liquid Assets / Total Assets Liquid Assets / (Deposits X Non-Deposit Funds) FC Liquid Assets / FC Liabilities Profitability Net Profit (Losses) / Total Assets Ratios % Net Profit (Losses) / Total Shareholders' Equity Income Before Taxes / Total Assets Net Profit (Losses) / Paid-in Capital Income-Expenditure Structure Net Interest Income After Specific Provisions / Total Assets Net Interest Income After Specific Provisions / Total Operating Income Non-Interest Income (Net) / Total Assets Non-Interest Income (Net) / Other Operating Expenses Other Operating Expenses / Total Operating Income Provision For Loan or Other Receivables Losses / Total Assets Interest Income / Interest Expense Non-Interest Income / Non-Interest Expense Total Income / Total Expense Interest Income / Total Assets Interest Expense / Total Assets Interest Income / Total Expenses Interest Expense / Total Expenses Total Assets Total Loans Total deposits Total Assets Total Loans Total Deposits Share in Sector Share in Group Branch Ratios, Millon TRY Total Assets / No. of Branches Total Deposits / No. of Branches TRY Deposits / No. of Branches FX Deposits / No. of Branches Total Loans / No. of Branches Total Employees / No. of Branches (person) Net Income / No. of Branches 828

16 2) NAME OF BANKS Domestic Banks-(Unsuccesful) Ziraat Bank Halk Bank Vakıfbank Adabank Akbank Alternatif Bank Anadolubank Oyak Bank Sekerbank Tekfenbank Tekstil Bank Turkish Bank Turkland Bank Türk Ekonomi Bank Garanti Bank Is Bank Yapı ve Kredi Bank Foreign Banks-(Succesful) Arap Türk Bank Citibank Denizbank Deutsche Bank Finansbank Fortis Bank HSBC Bank Millennium Bank 829