Panel stochastic frontier analysis of profitability and efficiency of Turkish banking sector in the post crisis era/Turkijos banku sektoriaus veiklos pelningumo ir efektyvumo analize pokriziniu laikotarpiu.
Aysan, Ahmet Faruk ; Karakaya, Mustafa Mete ; Uyanik, Metin 等
1. Introduction
November 2000 and Februar y 2001 crises adversely affected Turkish
economy and particularly Turkish banking sector. In the post-crisis
period, extensive structural changes have taken place in Turkish banking
sector. Interest of foreign banks for the Turkish market increased. Some
new foreign banks entered into Turkish banking sector through
acquisition, while existing foreign banks increased their operations.
Foreign banks are expected to bring new practices and advance technology
to the market and enhance competitive pressure in banking. Throughout
1990s Turkey experienced very high interest rates and accumulated huge
debt stock surpassing Gross National Product. Consequently banks did not
perceive any need to operate more efficiently given that they could earn
enormous returns through financing government. In the post-crisis
period, inflation, interest rates and debt stock started to decline.
Eventually banks felt the need to rely more on essential banking
activities to make more profit. Hence they had to operate more
efficiently. As a result of these changes Turkish banks experienced
profound transformations in their cost and profit efficiencies. These
developments in cost and profit efficiencies shall have implications for
the profitability of banks.
In this paper, we investigate the cost and profit efficiencies of
Turkish banking sector in the post-crisis era by employing panel
stochastic frontier approach. Our data set spans 2002-2007 period just
before the global crisis. We further divided this period into 2
sub-periods as 2002-2005 (period of recovery and merger activities) and
2005-2007 (period of growth and acquisition by foreign banks). According
to our knowledge there are studies that employ stochastic frontier
approach, but this is the first study that employs panel stochastic
frontier approach to analyze the efficiency of Turkish banking sector
for this period. Panel data has various advantages which significantly
improve efficiency analysis compared to previous studies. Moreover we
explore the relation between efficiency, size and profitability. Finally
state banks are quite dominant in the banking industry in Turkey.
Therefore we conduct the same analysis by excluding the state banks to
implement sensitivity analysis.
In this paper we address the following questions: How does
efficiency change over time? Is there a substantial efficiency
improvement? Does the foreign banks prefer to buy more efficient banks?
Is there efficiency gain in the banks acquired by the foreign banks? Is
there a relation between profitability, efficiency and size?
The rest of the paper progresses as follows: Section 2 reviews the
efficiency literature in banking sector and provide an overview of
Turkish case in the post crisis period. Section 3 defines the data and
explains the methodology and advantages of our model. Section 4
discusses the empirical results of efficiency and its relationship with
size and profitability. Lastly section 5 concludes.
2. Literature review and Turkish case in retrospect
During the crisis period in Turkey, the banks which did not employ
risk management techniques effectively had maturity and currency
mismatch problems in their assets and liabilities. As a result of
crises, interest rates increased sharply and Turkish currency rapidly
lost value against other currencies. Hike in the interest rates
especially hits the banks that had maturity mismatch problem in their
portfolios. As a result of the increase in the interest rates, the
assets of these banks also rapidly lost value and maturity mismatch in
their portfolios did not allow the value of their liabilities to
decrease by the same amount. Interest rates in domestic currency was
higher than the interest rates in foreign currency. Therefore most of
the banks had short position in foreign currencies and long position in
Turkish currency. In fact, before the crisis most of the Turkish banks
had both currency and maturity mismatch problems in their portfolios.
Furthermore contraction in economic activities engendered the rise in
bad debt of banks.
In the aftermath of the devastating crises, Turkish banks were in a
very uneasy situation. They made huge losses and some of them were on
the edge of bankruptcy. As in many other developing countries, in Turkey
banks are main financial intermediaries which channel saving into
investment. This gives banks a major role in the capital accumulation
and growth. Turkey urgently needed less fragile financial sector for
consistent growth and economic prosperity. Hence Turkey initiated
Banking Sector Reconstruction Program on May 15, 2001 to establish a
competitive and healthy banking sector (see Al, Aysan 2006). In the
scope of Banking Sector Reconstruction Program, capital structure of
banks were strengthened, merger and acquisition activities encouraged.
Furthermore Treasury helped the banks to close their short positions in
foreign currencies while regulation and legislation were improved.
In 2001, Ulusal Bank, Sitebank, Iktisat Bankasi, Kentbank,
Tarisbank, Bayindirbank, EGS Bank and Toprak Bank are all acquired by
Saving Deposit Insurance Fund (TMSF). Seven banks were merged. Egebank,
Turkbank, Yasarbank, Bank Kapital, Ulusal Bank merged under Sumerbank
and Interbank, Esbank merged under Etibank. Moreover licenses of
Etibank, Iktisat Bankasi and Kentbank are cancelled. Also in private
sector several banks engaged in merger and acquisition activities. Bank
Ekspres merged with Tekfen Yatirim ve Finansman and constitute Tekfen
Bank. Demirbank was acquired by HSBC. Korfez Bank, Osmanli Bankasi,
Sumerbank, Sinai Yatirim Bankasi were transferred to Osmanli Bankasi,
Garanti Bankasi, Oyakbank and Turkiye Sinai Kalkinma Bankasi
respectively.
In 2002, number of banks, branches and employees were reduced for
financial and operational recovery. Number of banks decreased from 61
(end of 2001) to 54 (end of 2002). Number of branches decreased by 9.7
percent. Number of employees decreased by 10.8 percent (see Table 1).
In 2003, world economy and in particular Turkish Economy started to
recover itself compared to stagnation period of 2001 and 2002.
Especially after the general elections in November 2002 and Copenhagen
Summit about Turkey's efforts for full membership to European Union
(1) in December 2002, Turkey's economic and political recovery has
accelerated while uncertainties ameliorating and expectations about
Turkish economy improving. As a result of these changes and decrease in
nominal interest rates, Turkish banking sector reach healthier
asset-liability structure. Number of banks decreased from 54 (end of
2002) to 50 (end of 2003). In the same period, number of branches
decreased by 2.2 percent and asset size per branch increased. On the
other hand number of employees did not changed much (see Table 2).
In 2004, the recovery in the world economy continued. The growth
rate of the world economy increased and reached 5.1 percent compared to
4 percent in 2003. In the same year Turkey's performance was even
better due to the political stability and successful structural
transformation projects and macroeconomic policies. Turkey's GNP
and GNP per capita in dollars grew by 9.3 percent and 23 percent
respectively. Inflation rate of Turkey was 9.3 percent lowest since
1970. In December 2004 EU decided to initiate membership negotiations
with Turkey, starting in September 2005. The number of banks in the
sector declined to 48. Two foreign banks, Credit Lyonnais S. A. and
Credit Agricole Indosuez Turk Bank merged. Two domestic banks, T. Halk
Bankasi and Pamukbank were also merged. Deutsche Bank A. G. changed its
status from development and investment bank to foreign bank. Due to the
growth in the sector, number of branches and employees increased as well
(see Table 3).
In 2005, world economy was stable and grew by 4.3 percent. In
Turkey, main macroeconomic indicators continue to improve. GNP increased
by 7.6 percent and the inflation rate was 7.7 percent which was even
lower than the inflation rate in 2004. Number of banks decreased by 1 to
47 due to the new mergers while number of employees and branches
increased.
After 2005, Turkish banking sector is on a stable growth path.
Overall, total assets, number of branches and number of employees of the
banking sector keep increasing. Actually one can divide the post-crisis
period into two sub-periods before 2005 and after 2005. Pre-2005 episode
was the recovery and stabilization period. There was a lot of merger
activities. On the other hand, post-2005 can be called as the growth
period. The new period is shaped by acquisition activities done by
foreign banks.
BNP Paribas (French) acquired Turk Ekonomi Bankasi in February
2005. Fortis (Holland-Belgium) acquired Diebank on April 11, 2005.
General Electric bought 25.5 percent of the Garanti Bankasi on August
24, 2005. Unicredit (Italian) and Koc Holding (Turkish) together
acquired Yapi Kredi on September 28, 2005. Hapoalim (Israel) acquired C
Bank and named Bank Pozitif on December 14, 2005. National Bank (Greece)
bought 47 percent of Finans Bank on April 3, 2006. EFG Eurobank (Greece)
acquired Tekfenbank on May 8, 2006. Dexia (French-Belgium) acquired
Denizbank on May 30, 2006. Turan-Alem (Kazakhstan) bought 33 percent of
[section]ekerbank on June 22, 2006. Merrill Lynch acquired Tat Yatirim
Bankasi on August 31, 2006. Arab Bank (Jordan) and BankMed (Lebanon)
acquired MNG Bank and changed its name as Turkland on September 4, 2006.
Citibank bought 20 percent of Akbank on October 17, 2006. Anadolu Group
and Alpha Bank (Greece) acquired Abank on November 24, 2006. ING
(Holland) acquire Oyak Bank on June 19, 2007 (see Annual Reports
2001-2006 of Banking Regulation and Supervision Agency).
In a very short period of time, foreign share in the banking sector
increased. According to the data of Central Bank of Turkey and Banking
Regulation and Supervision Agency foreign share in banking sector
reached 25 percent. This ratio is much higher compared to 7.3 percent
foreign share in March 2001.
There is a growing literature that investigates possible effects of
foreign entry into the banking sector. Bonin et al. (2005) and Levine
(2001) suggest that foreign banks increase efficiency of the banks by
improving corporate governance. Moreover domestic banks acquired by
foreign banks are upgraded by international rating agencies (Cardenas et
al. 2003). Usually foreign banks bring new financial products and
services, which enhance competition. Berger et al. (2000) show different
results in the case of developed and developing countries about
efficiency of foreign banks. Results suggest that foreign banks are more
efficient in terms of cost and profit in developing countries and less
efficient in developed countries compared to the domestic banks. Aysan
and Ceyhan (2007) investigate the reasons for foreign bank entry in the
light of push and pull factors. They suggest that Turkey's location
(intersection of Europe and Middle East) increasing population and per
capita income and EU accession process are the factors attracting
foreign banks to invest in Turkey2. This literature reveals that foreign
bank entry has effects on bank efficiency and structure. Hence it is
quite interesting to analyze the period after the acceleration of
foreign bank entry into Turkey.
There is also considerable literature on the relation between
efficiency and profitability (3). Turati (2003) analyzed this relation
by examining correlation coefficient which he computed between
efficiency scores and profitability. Abbasoglu et al. (2007) explore
efficiency of Turkish banking sector and its relation with
profitability. They found no robust relation between efficiency and
profitability. There are also some studies that compares the efficiency
of domestic and foreign banks. For example Isik and Hassan (2002a)
analyzed efficiency of Turkish banking sector by Data Envelopment
Analysis (DEA). They found that foreign banks are not more efficient
than domestic banks.
3. Data and the empirical models
3.1. Data and definitions of variables
We use the quarterly panel data of the all commercial banks of
Turkey for the period 2002Q4-2007Q2. The data are taken from the Banks
Association of Turkey (BAT). There are 32 banks of which 3 are state
banks, 13 are domestic banks, and 16 are foreign banks. We use two
distinct dependent and seven independent variables consisting of four
outputs and three inputs. Dependent variables are total cost (tc) and
profit (p), or net income; and independent variables consist of outputs
which are short term commercial loans (y1), long term commercial loans
(y2), off balance sheet items (y3), and other earning assets (y4); and
of inputs which are price of labor (p1), price of capital (p2), and
price of funds (p3). Price of labor is the total expenditures on
personnel and services, price of capital is total expenditures on
physical capital divided by the book value of fixed assets and price of
funds is total interest expenses divided by total funds borrowed. These
variables are commonly used in the cost and profit efficiency of the
banking sector literature (4). Hence, we choose these variables in our
study. As a measure of profitability we use two different measures
return on asset and return on equity (see Table A.4 and Table A.5). Book
value is taken as a measure of size.
3.2. Measure of efficiency, profitability, size and methodology
We can calculate efficiency by using either non-parametric
(originating from operations research) or parametric approaches
(econometric approaches). In a nonparametric (non-stochastic) approach
like Data Envelopment Analysis efficiency is calculated by linear
mathematical programming techniques. Parametric (stochastic) efficiency
is calculated via a cost or profit function in which variables are costs
or profits determined by input prices, quantities of variable outputs,
random error and inefficiency. In our study, we use parametric
approaches because of its two main advantages. In parametric approaches
inefficiency is separated from statistical noise and we can use standard
statistical tests on the variables to test their significance (Farsi,
Filippini 2004). On the other hand non-parametric approaches do not
allow this kind of statistical inference (Isik, Hassan 2002b).
In this study we calculate cost and profit efficiency following the
paper of Isik and Hassan (2002b). Cost inefficiency is caused by using
sub-optimal input combinations on a given output level while profit
efficiency stems from using sub-optimal output level given the input and
output prices. In other words cost efficiency shows how far a
bank's cost is away from the bank that shows best performance if
they produce under same conditions and same level of output. Profit
efficiency shows how much bank is close to the highest amount of profit
for its given level of output.
In this research we estimate both cost and profit frontier by time
invariant panel stochastic frontier approach. We discuss the benefits of
this approach over regular stochastic frontier models after introducing
the model as follows:
Cost Frontier Model
[lntc.sub.it] = f ([y.sub.lit], [p.sub.kit]) + [[mu].sub.1i] +
[v.sub.1it], [[mu].sub.1i] [greater than or equal to] 0.
Profit Frontier Model
In ([alpha] + [[pi].sub.it]) = f ([y.sub.lit], [p.sub.kit]) +
[[mu].sub.2i] + [v.sub.2it], [[mu].sub.2i] [greater than or equal to] 0,
i = 1, 2, ..., N and t = 1, 2, ..., T,
l = 1, 2, 3, 4 and k = 1, 2, 3.
In these equations [tc.sub.it] stands for total cost, [[pi].sub.it]
stands for profit, [[gamma].sub.fit] stands for output, [[rho].sub.kit]
stands for input, i indicates the bank, t indicates the time, l
indicates the output, k indicates the input and [[upsilon].sub.it] is a
classical error term that follows a symmetric normal distribution. It is
assumed that [[mu].sub.ji] follows truncated half normal distribution
and [[upsilon].sub.jit] is independent of [[mu].sub.i], for j = 1, 2.
Translog specification is employed in modeling both cost and profit
function. In the empirical literature on bank efficiency translog
specification is widely used. This functional form has various
advantages, one of them is its flexible form which allows us to use
Cobb-Douglas specification. Resulting 4 output, 3 input models for a
given ith firm are as follows.
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII].
Lastly we look at the advantages of panel data over cross sectional
data in efficiency estimation. Schmidt and Sickles (1984) discuss the
main advantages of panel data. Firstly there is no need to impose
distributional specification on the efficiency term for consistent
estimations. Secondly one can relax the assumption that inefficiency and
input levels are independent. Moreover technical efficiency can not be
consistently estimated in a single cross section, because its results
heavily rely on distributional assumption on inefficiency (5).
4. Empirical results
4.1. Cost and profit efficiency change
There are two important observations. There is a clear cost
efficiency gain in Turkish banking sector in this period. Mean of
efficiency scores increased from 0.74 to 0.91. One can also observe
convergence in terms of cost efficiency. Standard deviation of cost
efficiency scores declines from 0.06 to 0.04 (see Table 4 and Table
A.1).
Apparently, profit efficiency roughly declines. However this can be
attributed to the increased standard deviation between these two
periods. Hence, in terms of profit efficiency divergence instead of
convergence is the pattern. Recent developments in Turkey increased
competition in the banking sector. Competition lowers the excess
profits, which can affect profit efficiency.
When we look at the cost efficiencies of the banks for the period
2002-2005, the most cost efficient bank is AKB, whereas the least one is
HBB. Among the highest ten cost efficient banks, all three of the state
bank are included, only one of them is foreign banks, and the remaining
six are domestic banks. Beside the banks that have the worst cost
efficiency appear as follows: three are domestic banks, and the
remaining seven are foreign banks. Hence, the overall cost efficiency of
foreign banks is poorer in the period 2002-2005, whereas the state banks
and domestic banks have better cost efficiencies.
Looking at the period 2005-2007, the highest ten cost efficient
banks consist of two state banks, five domestic banks and three foreign
banks. Lowest cost efficient banks that have least cost efficiency
consist of two domestic banks, and eight foreign banks. In this period,
again, foreign banks did worse in terms of cost efficiency, but they are
better than their rankings in the former period. The efficiency of state
banks remains almost same given that efficiency of TCZB declines whereas
efficiency of THB increases almost the same amount. Furthermore the
ranking of the overall cost efficiency of the domestic banks converges
to median since the share of the domestic banks in least ten and highest
ten declines.
For the overall cost efficiency ranking, in the 2002-2007 period,
the state banks and the domestic banks are the most efficient, and
foreign banks did the worst. All state banks are among the highest ten
cost efficient banks, whereas nine of the least ten cost efficient banks
are foreign banks. Beside domestic banks are almost above the median.
Profit efficiency rankings of the groups of the banks are more
homogeneous than the cost efficiency ranking. In the first period,
2002-2005, foreign banks were dominant among the highest ten profit
efficient banks: five foreign banks, four domestic banks and only one
state bank. On the other hand, in the second period the domination of
the foreign banks is more apparent: eight foreign banks, and two
domestic banks. State banks did worse in terms of profit efficiency
compared to their cost efficiency ranking. In both periods their
rankings are about the median.
Our results do not indicate any evidence supporting the idea that
international investors look for higher efficiency in their acquisition
decisions. There are examples of banks that are inefficient but
acquired. Banks that are acquired by foreign banks experienced
efficiency increase. However in this period overall efficiency score of
banking industry increases as well. In retrospect some of foreign banks
experienced efficiency decline relative to other banks suggesting no
clear-cut evidence in favor of efficiency improvement for the banks
acquired by foreign banks (see Table 5).
Lastly according to our results profit efficiency and cost
efficiency are not related. Cost efficient bank can be profit
inefficient and profit efficient bank can be cost inefficient. However
we observe in general that in the first and second period profit and
cost efficiency are negatively related (see Table 5, Table 6 and Table
A.3).
4.2. Efficiency, size and profitability
We use book value of banks as measure of size and return on asset
(ROA) and return on equity (ROE) as measures of profitability. We run
fixed effect regression with panel data of 64 observations to examine
the relationship between efficiency and profitability (6). Our results
do not suggest that there is a significant relation between cost
efficiency, profit efficiency measures and profitability. We find
however significant relationship between size and return on equity and
return on asset suggesting that the size matters more for profitability
in Turkey (see Table 7, Table 8 and Table A.2).
We also run random effect regression with the same panel data and
add dummy for foreign banks and state banks. Generally these dummies are
insignificant while other results are very similar. Goodness of fit of
our regressions are quite good considering that most of actual
observations are in the confidence interval of our regression fit (see
Figs. 1-4).
[FIGURE 1 OMITTED]
[FIGURE 2 OMITTED]
[FIGURE 3 OMITTED]
[FIGURE 4 OMITTED]
4.3. Sensitivity analysis
Turkish banking sector is known as state dominated sector. Although
there are few state banks, their size is large. We conduct the same
analysis to see the sensitivity of our results to the state owned banks.
The findings show that our results are insensitive to the exclusion of
state banks. Correlation between efficiency scores from the results of
the analysis with the state banks and without the state banks are all
more than 99 percent (see Table 9, Table A.6, Table A.7 and Table A.8).
Furthermore we do not find a significant relation between efficiency and
profitability which confirms our earlier results.
5. Conclusions
In this paper, we analyze cost and profit efficiency of Turkish
banking sector in the post crisis era (2002-2007) by employing Panel
Stochastic Frontier Approach for the first time in Turkish banking
efficiency literature. Moreover we investigate the relation between
efficiency, size and profitability. In our analysis we further divide
the period 2002-2007 into 2 sub-periods as 2002-2005 and 2005-2007.
2002-2005 period characterized by contraction, recovery and merger in
the banking sector. On the other hand 2005-2007 is the period of growth
and acquisition by foreign banks.
The results of our study reveal that there is an increase in the
cost efficiency in addition to convergence in the cost efficiency of
banks. This finding shows that banks in Turkish market easily adopt new
practices which enhance efficiency. When one bank discovers ways to
increase its efficiency or a new more efficient bank enters into Turkish
market other banks quickly imitate better technology. We also find that
foreign banks including new entrants are less efficient. Our results
also show that state banks are more efficient. The results about state
banks and foreign banks are quite interesting for the literature while
they are in congruent with prior studies in Turkish banking sector.
We can not necessarily claim that banks acquired by foreign banks
are more efficient banks. In the sample of banks acquired by foreign
banks, there are efficient and inefficient banks. Efficiency of the
banks acquired by foreigners increased. However there is an overall
efficiency increase in this period anyway suggesting that these banks
have relatively not performed better. We also analyze the relation
between cost-profit efficiency, size and profitability by both fixed
effect and random effect regressions. According to our results there is
no significant relation between efficiency and profitability. However
there is a positive relationship between efficiency and size. However we
find significant relationship between size and profitability. Lastly we
examine the sensitivity of our results for the exclusion of state owned
banks. We conduct the same analysis by excluding the state owned banks.
The findings confirm that our results are not sensitive to the exclusion
of state owned banks.
doi: <DO>10.3846/16111699.2011.599411</DO>
APPENDIX
Table A.1. Descriptive Statistics
Mean Median Max
Cost Efficiency 0.7470 0.7347 0.8954
2002-2007
Cost Efficiency 0.7353 0.7343 0.8734
2002-2005
Cost Efficiency 0.9053 0.9217 0.9468
2005-2007
Profit Efficiency 0.8128 0.8237 0.8467
2002-2007
Profit Efficiency 0.5965 0.5941 0.6226
2002-2005
Profit Efficiency 0.3591 0.3010 0.6198
2005-2007
ROA 2002-2005 0.2775 0.1778 2.1017
ROA 2005-2007 0.3253 0.2365 1.9175
ROA 2002-2007 0.2985 0.1654 2.0211
ROE 2002-2005 0.0741 0.0694 0.2442
ROE 2005-2007 0.0647 0.0938 0.1900
ROE 2002-2007 0.0691 0.0863 0.2147
SIZE 2002-2007 601617.4 117219.0 4949542.0
SIZE 2002-2005 596088.2 92929.1 5140583.0
SIZE 2005-2007 601071.5 115624.8 4703918,0
Min Std. Dev. Observation
Cost Efficiency 0.6458 0.0827 32
2002-2007
Cost Efficiency 0.6502 0.0634 32
2002-2005
Cost Efficiency 0.8367 0.0383 32
2005-2007
Profit Efficiency 0.7575 0.0275 32
2002-2007
Profit Efficiency 0.5800 0.0126 32
2002-2005
Profit Efficiency 0.1552 0.1690 32
2005-2007
ROA 2002-2005 -0.3718 0.4556 32
ROA 2005-2007 -0.3967 0.4995 32
ROA 2002-2007 -0.3827 0.4610 32
ROE 2002-2005 -0.2291 0.0877 32
ROE 2005-2007 -0.2641 0.0989 32
ROE 2002-2007 -0.1893 0.0854 32
SIZE 2002-2007 2202.10 1151396.0 32
SIZE 2002-2005 2198.90 1209261.0 32
SIZE 2005-2007 2206.10 1086974.0 32
Source: Authors' calculation
Table A.2. The Correlation Matrix
Cost Cost Cost
efficiency efficiency efficiency
2002-2007 2002-2005 2005-2007
Cost Efficiency 1 0.88 0.44
2002-2007
Cost Efficiency 0.88 1 0.3
2002-2005
Cost Efficiency 0.44 0.3 1
2005-2007
Profit Efficiency 0.49 0.42 0.95
2002-2007
Profit Efficiency -0.34 -0.3 -0.47
2002-2005
Profit Efficiency -0.34 -0.23 -0.83
2005-2007
ROA 2002-2005 0.02 -0.14 -0.14
ROA 2005-2007 0.12 -0.04 0.03
ROA 2002-2007 0.07 -0.1 -0.06
ROE 2002-2005 0.36 0.15 0.2
ROE 2005-2007 0.21 0.12 0.49
ROE 2002-2007 0.31 0.14 0.39
SIZE 2002-2007 0.63 0.51 0.04
SIZE 2002-2005 0.58 0.47 -0.01
SIZE 2005-2007 0.65 0.53 0.08
Profit Profit Profit
efficiency efficiency efficiency
2002-2007 2002-2005 2005-2007
Cost Efficiency 0.49 -0.34 -0.34
2002-2007
Cost Efficiency 0.42 -0.3 -0.23
2002-2005
Cost Efficiency 0.95 -0.47 -0.83
2005-2007
Profit Efficiency 1 -0.58 -0.76
2002-2007
Profit Efficiency -0.58 1 0.66
2002-2005
Profit Efficiency -0.76 0.66 1
2005-2007
ROA 2002-2005 -0.23 0.49 0.36
ROA 2005-2007 -0.03 0.34 0.24
ROA 2002-2007 -0.14 0.43 0.31
ROE 2002-2005 0.11 0.2 0.02
ROE 2005-2007 0.48 0.06 -0.1
ROE 2002-2007 0.33 0.15 -0.04
SIZE 2002-2007 0.08 -0.18 -0.11
SIZE 2002-2005 0.02 -0.15 -0.09
SIZE 2005-2007 0.12 -0.17 -0.12
ROA ROA ROA
2002-2005 2005-2007 2005-2007
Cost Efficiency 0.02 0.12 0.07
2002-2007
Cost Efficiency -0.14 -0.04 -0.1
2002-2005
Cost Efficiency -0.14 0.03 -0.06
2005-2007
Profit Efficiency -0.23 -0.03 -0.14
2002-2007
Profit Efficiency 0.49 0.34 0.43
2002-2005
Profit Efficiency 0.36 0.24 0.31
2005-2007
ROA 2002-2005 1 0.88 0.98
ROA 2005-2007 0.88 1 0.97
ROA 2002-2007 0.98 0.97 1
ROE 2002-2005 0.69 0.66 0.7
ROE 2005-2007 0.38 0.65 0.52
ROE 2002-2007 0.6 0.74 0.68
SIZE 2002-2007 -0.11 -0.14 -0.13
SIZE 2002-2005 -0.13 -0.17 -0.15
SIZE 2005-2007 -0.11 -0.12 -0.12
ROE ROE ROE
2002-2005 2005-2007 2002-2007
Cost Efficiency 0.36 0.21 0.31
2002-2007
Cost Efficiency 0.15 0.12 0.14
2002-2005
Cost Efficiency 0.2 0.49 0.39
2005-2007
Profit Efficiency 0.11 0.48 0.33
2002-2007
Profit Efficiency 0.2 0.06 0.15
2002-2005
Profit Efficiency 0.02 -0.1 -0.04
2005-2007
ROA 2002-2005 0.69 0.38 0.6
ROA 2005-2007 0.66 0.65 0.74
ROA 2002-2007 0.7 0.52 0.68
ROE 2002-2005 1 0.59 0.87
ROE 2005-2007 0.59 1 0.91
ROE 2002-2007 0.87 0.91 1
SIZE 2002-2007 0.1 -0.17 -0.06
SIZE 2002-2005 0.06 -0.24 -0.13
SIZE 2005-2007 0.13 -0.12 -0.02
SIZE SIZE SIZE
2002-2007 2002-2005 2005-2007
Cost Efficiency 0.63 0.58 0.65
2002-2007
Cost Efficiency 0.51 0.47 0.53
2002-2005
Cost Efficiency 0.04 -0.01 0.08
2005-2007
Profit Efficiency 0.08 0.02 0.12
2002-2007
Profit Efficiency -0.18 -0.15 -0.17
2002-2005
Profit Efficiency -0.11 -0.09 -0.12
2005-2007
ROA 2002-2005 -0.11 -0.13 -0.11
ROA 2005-2007 -0.14 -0.17 -0.12
ROA 2002-2007 -0.13 -0.15 -0.12
ROE 2002-2005 0.1 0.06 0.13
ROE 2005-2007 -0.17 -0.24 -0.12
ROE 2002-2007 -0.06 -0.13 -0.02
SIZE 2002-2007 1 0.99 1
SIZE 2002-2005 0.99 1 0.98
SIZE 2005-2007 1 0.98 1
Source: Authors' calculation
Table A.3. Banks
Banks Code Ownership
ABN AMRO Bank NV ABN foreign
Akbank TAS AKB domestic
Alternatif Bank AS ALTR domestic
Anadolubank AS ANDL domestic
Arap Turk Bankasi AS ARTB foreign
Banca di Roma SPA BDR foreign
Bank Mellat BNKM foreign
Birlesik Fon Bankasi AS BFB domestic
Citibank AS CTB foreign
Denizbank AS DNZB domestic
Deutsche Bank AS DTCB foreign
Finans Bank AS FNB foreign
Fortis Bank AS FRB foreign
Habib Bank Limited HBB foreign
HSBC Bank AS HSBC foreign
Kocbank AS KCB domestic
Millennium Bank AS MLB foreign
Oyak Bank AS OYK domestic
Societe Generale (SA) SCG foreign
Sekerbank TAS SKRB domestic
Tekfenbank AS TKF foreign
Tekstil Bankasi AS TKS domestic
Turkish Bank AS TRKS domestic
Turkland Bank AS TRKL foreign
Turk Ekonomi Bankasi AS TEB domestic
Turkiye Cumhuriyeti Ziraat Bankasi AS TCZB state
Turkiye Garanti Bankasi AS TGB domestic
Turkiye Halk Bankasi AS THB state
Turkiye Is Bankasi AS TIS domestic
Turkiye Vakiflar Bankasi TAO TVB state
WestLB AG WLB foreign
Yapi ve Kredi Bankasi AS YKR domestic
Source: The Banks Association of Turkey
Table A.4. Profitability of the Banks
ROA ROA ROA
2002-2007 2002-2005 2005-2007
ABN 0.13 0.11 0.16
AKB 0.73 0.69 0.79
ALTR 0.17 0.09 0.28
ANDL 0.34 0.3 0.39
ARTB 0.09 0.1 0.06
BDR -0.11 -0.2 0.01
BNKM 0.26 0.27 0.25
BFB 1.69 1.56 1.87
CTB 0.5 0.26 0.8
DNZB 0.51 0.39 0.66
DTCB 2.02 2.1 1.92
FNB 0.46 0.34 0.63
FRB 0.17 0.21 0.13
HBB 0.11 0.24 -0.04
HSBC 0.3 0.18 0.47
KCB 0.19 0.07 0.35
MLB -0.38 -0.37 -0.4
OYK 0.15 0.06 0.26
SCG 0.14 0.46 -0.27
SKRB 0.15 0.18 0.11
TKF 0.1 0.19 -0.01
TKS 0.06 0.08 0.03
TRKS 0.14 0.07 0.22
TRKL 0.11 0.1 0.14
TEB 0.33 0.25 0.43
TCZB 0.49 0.41 0.58
TGB 0.16 0.11 0.22
THB 0.35 0.41 0.27
TIS 0.1 0.07 0.14
TVB 0.21 0.16 0.26
WLB -0.04 -0.02 -0.06
YKR -0.08 0.04 -0.24
ROE ROE ROE
2002-2007 2002-2005 2005-20
ABN 0.04 0.04 0.05
AKB 0.14 0.14 0.14
ALTR 0.08 0.06 0.1
ANDL 0.12 0.14 0.11
ARTB 0.04 0.06 0.03
BDR -0.07 -0.15 0.01
BNKM 0.13 0.13 0.11
BFB 0.21 0.24 0.17
CTB 0.11 0.08 0.13
DNZB 0.1 0.1 0.11
DTCB 0.17 0.21 0.13
FNB 0.16 0.14 0.19
FRB 0.07 0.09 0.05
HBB 0.02 0.06 -0.01
HSBC 0.1 0.06 0.13
KCB 0.06 0.05 0.09
MLB -0.19 -0.23 -0.15
OYK 0.09 0.05 0.12
SCG -0.05 0.05 -0.13
SKRB 0.12 0.12 0.07
TKF 0.03 0.06 0.01
TKS 0.06 0.08 0.04
TRKS 0.04 0.04 0.05
TRKL 0.03 0.03 0.03
TEB 0.1 0.07 0.12
TCZB 0.16 0.13 0.19
TGB 0.11 0.1 0.14
THB 0.13 0.15 0.12
TIS 0.06 0.07 0.07
TVB 0.14 0.16 0.11
WLB -0.01 -0.01 0
YKR -0.11 0.06 -0.26
Source: Authors' calculation
Table A.5. Profitability Ranks of the Banks
ROA ROA ROA
2002-2007 2002-2005 2005-2007
Rank rank rank rank
1 DTCB DTCB DTCB
2 BFB BFB BFB
3 AKB AKB CTB
4 DNZB SCG AKB
5 CTB TCZB# DNZB
6 TCZB# THB# FNB
7 FNB DNZB TCZB#
8 THB# FNB HSBC
9 ANDL ANDL TEB
10 TEB BNKM ANDL
11 HSBC CTB KCB
12 BNKM TEB ALTR
13 TVB# HBB THB#
14 KCB FRB TVB#
15 FRB TKF OYK
16 ALTR SKRB BNKM
17 TGB HSBC TGB
18 SKRB TVB# TRKS
19 OYK TGB ABN
20 SCG ABN TRKL
21 TRKS ARTB TIS
22 ABN TRKL FRB
23 HBB ALTR SKRB
24 TRKL TKS ARTB
25 TKF TRKS TKS
26 TIS KCB BDR
27 ARTB TIS TKF
28 TKS OYK HBB
29 WLB YKR WLB
30 YKR WLB YKR
31 BDR BDR SCG
32 MLB MLB MLB
ROE ROE ROE
2002-2007 2002-2005 2005-2007
Rank rank rank rank
1 BFB BFB TCZB#
2 DTCB DTCB FNB
3 FNB TVB# BFB
4 TCZB# THB# AKB
5 AKB AKB TGB
6 TVB# ANDL CTB
7 THB# FNB HSBC
8 BNKM TCZB# DTCB
9 ANDL BNKM TEB
10 SKRB SKRB OYK
11 TGB TGB THB#
12 CTB DNZB DNZB
13 DNZB FRB BNKM
14 TEB CTB ANDL
15 HSBC TKS TVB#
16 OYK TEB ALTR
17 ALTR TIS KCB
18 FRB TKF SKRB
19 TIS ALTR TIS
20 TKS HSBC FRB
21 KCB HBB TRKS
22 TRKS YKR ABN
23 ABN ARTB TKS
24 ARTB OYK TRKL
25 TKF SCG ARTB
26 TRKL KCB BDR
27 HBB TRKS TKF
28 WLB ABN WLB
29 SCG TRKL HBB
30 BDR WLB SCG
31 YKR BDR MLB
32 MLB MLB YKR
Notes: Bold: State banks, Italic: Foreign banks,
Other: Domestic Private banks
Source: Authors' calculation
Notes: Bold: State banks, Italic: Foreign banks,
Other: Domestic Private banks indicated with #.
Table A.6. Efficiency Scores of the Banks Excluding State Banks
Cost Cost Cost
Efficiency Efficiency Efficiency
2002-2007 2002-2005 2005-2007
without without without
Banks state banks state banks state banks
ABN 0.66 0.68 0.87
AKB 0.89 0.89 0.91
ALTR 0.74 0.78 0.91
ANDL 0.7 0.69 0.93
ARTB 0.69 0.71 0.93
BDR 0.65 0.68 0.9
BNKM 0.67 0.73 0.85
BFB 0.78 0.69 0.89
CTB 0.7 0.71 0.87
DNZB 0.86 0.82 0.92
DTCB 0.65 0.65 0.85
FNB 0.76 0.78 0.88
FRB 0.84 0.82 0.92
HBB 0.65 0.65 0.85
HSBC 0.78 0.76 0.9
KCB 0.67 0.67 0.86
MLB 0.68 0.74 0.85
OYK 0.81 0.76 0.92
SCG 0.65 0.67 0.85
SKRB 0.74 0.69 0.93
TKF 0.69 0.7 0.93
TKS 0.71 0.72 0.88
TRKS 0.75 0.82 0.9
TRKL 0.66 0.66 0.91
TEB 0.78 0.77 0.92
TGB 0.8 0.75 0.93
TIS 0.86 0.84 0.91
WLB 0.71 0.75 0.88
YKR 0.9 0.84 0.84
Profit Profit Profit
Efficiency Efficiency Efficiency
2002-2007 2002-2005 2005-2007
without without without
Banks state banks state banks state banks
ABN 0.78 0.6 0.45
AKB 0.82 0.62 0.39
ALTR 0.81 0.58 0.2
ANDL 0.81 0.6 0.16
ARTB 0.81 0.6 0.19
BDR 0.8 0.6 0.18
BNKM 0.76 0.61 0.62
BFB 0.78 0.61 0.6
CTB 0.79 0.59 0.49
DNZB 0.82 0.58 0.24
DTCB 0.75 0.62 0.62
FNB 0.79 0.59 0.48
FRB 0.82 0.58 0.22
HBB 0.75 0.62 0.62
HSBC 0.81 0.58 0.31
KCB 0.77 0.62 0.55
MLB 0.77 0.6 0.62
OYK 0.81 0.58 0.2
SCG 0.77 0.6 0.62
SKRB 0.8 0.61 0.2
TKF 0.82 0.59 0.16
TKS 0.79 0.59 0.44
TRKS 0.8 0.59 0.3
TRKL 0.81 0.58 0.18
TEB 0.81 0.58 0.18
TGB 0.83 0.59 0.24
TIS 0.82 0.59 0.39
WLB 0.78 0.59 0.53
YKR 0.74 0.59 0.28
Source: Authors' calculation
Table A.7. Efficiency Ranks of the Banks Excluding State Banks
Cost Cost Cost
Efficiency Efficiency Efficiency
2002-2007 2002-2005 2005-2007
Rank rank rank rank
1 YKR AKB TGB
2 AKB YKR ARTB
3 DNZB TIS ANDL
4 TIS DNZB SKRB
5 FRB FRB TKF
6 OYK TRKS FRB
7 TGB ALTR OYK
8 BFB FNB DNZB
9 HSBC TEB TEB
10 TEB HSBC TIS
11 FNB OYK ALTR
12 TRKS WLB AKB
13 SKRB TGB TRKL
14 ALTR MLB BDR
15 WLB BNKM HSBC
16 TKS TKS TRKS
17 CTB ARTB BFB
18 ANDL CTB WLB
19 TKF TKF FNB
20 ARTB ANDL TKS
21 MLB SKRB CTB
22 BNKM BFB ABN
23 KCB ABN KCB
24 TRKL BDR BNKM
25 ABN KCB DTCB
26 BDR SCG HBB
27 SCG TRKL MLB
28 DTCB DTCB SCG
29 HBB HBB YKR
Profit Profit Profit
Efficiency Efficiency Efficiency
2002-2007 2002-2005 2005-2007
Rank rank rank rank
1 TGB DTCB BNKM
2 AKB HBB DTCB
3 FRB AKB HBB
4 TKF KCB MLB
5 TIS BNKM SCG
6 DNZB BFB BFB
7 OYK SKRB KCB
8 TEB SCG WLB
9 TRKL ARTB CTB
10 ALTR ANDL FNB
11 ARTB MLB ABN
12 ANDL BDR TKS
13 HSBC ABN AKB
14 TRKS WLB TIS
15 SKRB FNB HSBC
16 BDR TIS TRKS
17 FNB CTB YKR
18 CTB TKS TGB
19 TKS TRKS DNZB
20 ABN TGB FRB
21 WLB YKR SKRB
22 BFB TKF ALTR
23 MLB ALTR OYK
24 SCG TEB ARTB
25 KCB DNZB TEB
26 BNKM FRB TRKL
27 DTCB OYK BDR
28 HBB HSBC ANDL
29 YKR TRKL TKF
Notes: Decreasing ranking, highest value is at the top and
the lowest is at the bottom Italic: Foreign banks,
Other: Domestic Private banks
Source: Authors' calculation
Table A.8. Profitability Ranks of the Banks Excluding State Banks
ROA ROA ROA
2002-2007 2002-2005 2005-2007
Rank rank rank rank
1 DTCB* DTCB* DTCB*
2 BFB BFB BFB
3 AKB AKB CTB*
4 DNZB SCG* AKB
5 CTB* DNZB DNZB
6 FNB* FNB FNB*
7 ANDL* ANDL HSBC*
8 TEB BNKM* TEB
9 HSBC* CTB ANDL
10 BNKM* TEB KCB
11 KCB HBB* ALTR
12 FRB* FRB OYK
13 ALTR TKF BNKM*
14 TGB SKRB TGB
15 SKRB HSBC* TRKS
16 OYK TGB ABN*
17 SCG* ABN* TRKL*
18 TRKS ARTB* TIS
19 ABN* TRKL FRB*
20 HBB* ALTR SKRB
21 TRKL* TKS ARTB*
22 TKF* TRKS TKS
23 TIS KCB BDR*
24 ARTB* TIS TKF*
25 TKS OYK HBB*
26 WLB* YKR WLB*
27 YKR WLB* YKR
28 BDR* BDR* SCG*
29 MLB* MLB* MLB*
ROE ROE ROE
2002-2007 2002-2005 2005-2007
Rank rank rank rank
1 BFB BFB FNB*
2 DTCB* DTCB* BFB
3 FNB* AKB AKB
4 AKB ANDL TGB
5 BNKM* FNB CTB*
6 ANDL BNKM* HSBC*
7 SKRB SKRB DTCB*
8 TGB TGB TEB
9 CTB* DNZB OYK
10 DNZB FRB DNZB
11 TEB CTB* BNKM*
12 HSBC* TKS ANDL
13 OYK TEB ALTR
14 ALTR TIS KCB
15 FRB* TKF SKRB
16 TIS ALTR TIS
17 TKS HSBC* FRB*
18 KCB HBB* TRKS
19 TRKS YKR ABN*
20 ABN* ARTB* TKS
21 ARTB* OYK TRKL*
22 TKF* SCG ARTB*
23 TRKL* KCB BDR*
24 HBB* TRKS TKF*
25 WLB* ABN* WLB*
26 SCG* TRKL HBB*
27 BDR* WLB* SCG*
28 YKR* BDR* MLB*
29 MLB* MLB* YKR
Notes: Decreasing ranking, highest value is at the top
and the lowest is at the bottom
Italic: Foreign banks, Other: Domestic Private banks
Source: Authors' calculation
Note: Italic: Foreign banks indicated with *.
References
Abbasoglu, O. F.; Aysan, A. F.; Gunes, A. 2007. Concentration,
Competition, and Profitability of the Turkish Banking Sector in the
Post-Crisis Period, Banks and Bank System 2: 106-115.
Aigner, D. J.; Lovell, C. A.; Schmidt, P. 1997. Formulation And
Estimation of Stochastic Frontier Production Function Models, Journal of
Econometrics 6: 23-37.
Akin, G. G.; Aysan, A. F.; Kara, G. I.; Yildiran, L. 2010. The
Failure of Price Competition in the Turkish Credit Card Market, Emerging
Markets Finance and Trade 46: 23-35. doi:10.2753/REE1540-496X4603S102
Al, H.; Aysan, A. F. 2006. Assessing the Preconditions in
Establishing an Independent Regulatory and Supervisory Agency in
Globalized Financial Markets: the Case of Turkey, International Journal
of Applied Business and Economic Research 4: 125-146.
Altunbas, Y.; Chakravarty, S. 1998. Efficiency Measures and the
Banking Structure in Europe, Economics Letters 60: 205-208.
doi:10.1016/S0165-1765(98)00108-6
Aysan, A. F.; Ceyhan, S. P. 2007. Why Do Foreign Banks Invest in
Turkey?, Asian and African Journal of Economics and Econometrics 7:
65-80.
Aysan, A. F.; Ceyhan, S. P. 2008. What Determines the Banking
Sector Performance in Globalized Financial markets: the Case of Turkey?,
Physica A: Statistical Mechanics and its Applications 387: 1593-1602.
Battese, G. E.; Coelli, T. J. 1988. Prediction of Firm-Level
Technical Efficiencies with a Generalized Frontier Production Function
and Panel Data, Journal of Econometrics 38: 387-399.
doi:10.1016/0304-4076(88)90053-X
Battese, G. E.; Coelli, T. J. 1995. A Model for Technical
Efficiency Effects in a Stochastic Frontier Production Function for
Panel Data, Empirical Economics 20: 325-332. doi:10.1007/BF01205442
Berg, S.; Forsung, F.; Hjalmarsson, L.; Suominen, M. 1993. Banking
Efficiency in the Nordic Countries, Journal of Banking and Finance 17:
371-388. doi:10.1016/0378-4266(93)90038-F
Berger, A. N.; Hancock, D.; Humphrey, D. B. 1993. Bank Efficiency
Derived from the Profit Function, Journal of Banking and Finance 17:
317-347. doi:10.1016/0378-4266(93)90035-C
Berger, A. N.; Mester, L. J. 1997. Inside the Black Box: what
Explains Differences in the Efficiencies of Financial Institutions,
Journal of Banking and Finance 21: 895-947.
doi:10.1016/S0378-4266(97)00010-1
Berger, A. N.; DeYoung, R.; Genay, H.; Udell, F. G. 2000.
Globalisation of Financial Institutions: evidence from Cross-border
Banking Performance, Brookings-Wharton Papers on Financial Service 3:
23-158. doi:10.1353/pfs.2000.0001
Bilgin, M. H.; Karabulut, G.; Celikel, A. 2010. Determinants of
Currency Crisis in Turkey: some Empirical Evidence, Emerging Markets
Finance and Trade 46(1): 51-58.
Bonin, J. P.; Hasan, I.; Wachtel, P. 2005. Bank Performance,
Efficiency and Ownership in Transition Countries, Journal of Banking and
Finance 29: 31-53. doi:10.1016/j.jbankfin.2004.06.015
Cardenas, J.; Grap, J. P.; O'Dogherty, P. 2003. Foreign Banks
Entry in Emerging Market Economies: a Host Country Perspective. CGFS.
Central Bank Papers Bank of Mexico.
Carvallo, O.; Kasman, A. 2004. Cost Efficiency in the Latin America
and Caribbean Banking system, Journal of International Financial
Markets, Institutions and Money 15: 55-77.
doi:10.1016/j.intfin.2004.02.002
Demir, N.; Mahmud, S. F.; Babuscu, S. 2005. The Technical
Inefficiency Effects of Turkish Banks After Financial Liberalization,
The Developing Economies 43(3): 396-H1.
doi:10.1111/j.1746-1049.2005.tb00951.x
Dumludag, D. 2009. An Analysis of the Determinants of Foreign
Direct Investment in Turkey: the Role of the Institutional Context,
Journal of Business Economics and Management 10(1): 15-30.
doi:10.3846/1611-1699.2009.10.15-30
Farsi, M.; Filippini, M. 2004. Regulation and Cost Efficiency with
Panel Data Models: application to Electricity Distribution Utilities,
Review of Industrial Organization 25: 1-19.
doi:10.1023/B:REIO.0000040474.83556.54
Gineviciene, V.; Tvaronaviciene, M. 2005. Trends and Level of
Development: view to New EU Members, Journal of Business Economics and
Management 6(2): 113-121.
Greene, W. H. 2001. Estimating Econometric Models With Fixed
Effects. Working Papers 01-10, New York University, Leonard N. Stern
School of Business, Department of Economics.
Greene, W. 2002. Alternative Panel Data Estimators for Stochastic
Frontier Models. Working Paper, Department of Economics, Stern School of
Business, NYU.
Greene, W. H. 2004. Distinguishing between Heterogeneity and
Inefficiency: stochastic Frontier Analysis of the World Health
Organization's Panel Data on National Health, Health Economics 13:
959-980. John Wiley & Sons, Ltd.
Gong, B.-H.; Sickels, R. C. 1992. A Comparison Between Stochastic
Frontier and Data Envelopment Methods Using Panel Data, Journal of
Econometrics 51: 259-284. doi:10.1016/0304-4076(92)90038-S
Isik, I.; Hassan, M. K. 2002a. Technical, Scale, and Allocative
Efficiencies of Turkish Banking Industry, Journal of Banking and Finance
26: 719-766. doi:10.1016/S0378-4266(01)00167-4
Isik, I.; Hassan, M. K. 2002b. Cost and Profit Efficiency of the
Turkish Banking Industry: an Empirical Investigation, The Financial
Review 37: 257-280. doi:10.1111/1540-6288.000M
Kosekahyaoglu, L. 2006. A Comparative Analysis of FDI in Turkey and
the CEECs: is There any Link Between FDI and Trade?, Journal of Business
Economics and Management 7(4): 183-200.
Kumbhakar, S. C. 1990. Production Frontiers, Panel Data, and
Time-Varying Technical Inefficiency, Journal of Econometrics 46:
201-211. doi:10.1016/0304-4076(90)90055-X
Kwan, S. H.; Eisenbeis, R. 1994. An analysis of Inefficiencies in
Banking: a stochastic Cost Frontier Approach. Federal Reserve Bank of
San Francisco, USA. Working Paper, December 1994.
Lang, G. 1996. Efficiency, Profitability and Competition: empirical
Analysis for a Panel of German Universal Banks, IFO-Studien 42: 537-561.
Levine, R. 2001. International Financial Liberalization and
Economic Growth, Review of International Economics 9: 688-702.
doi:10.1111/1467-9396.00307
Maudos, J.; Pastor, J.; Perez, F.; Quesada, J. 2002. Cost and
Profit Efficiency in European Banks, Journal of International Financial
Markets Institutions and Money 12: 33-58.
doi:10.1016/S1042-4431(01)00051-8
Schmidt, P.; Sickles, R. 1984. Production Frontiers and Panel Data,
Journal of Business and Economic Statistics 2: 367-374.
doi:10.2307/1391278
Schmidt, P. 1988. Estimation of a Fixed-Effect Cobb-Douglas System
Using Panel Data, Journal of Econometrics 37: 361-380.
doi:10.1016/0304-4076(88)90011-5
Sickles, R. C. 2005. Panel Estimators and the Identification of
Firm-Specific Efficiency Levels in Parametric, Semiparametric and
Nonparametric Settings, Journal of Econometrics 126: 305-334.
doi:10.1016/j.jeconom.2004.05.004
Sufian, F.; Habibullah, M. S. 2009. Determinants of Bank
Profitability in a Developing Economy: empirical Evidence from
Bangladesh, Journal of Business Economics and Management 10(3): 207-217.
Turati, G. 2003. Cost Efficiency and Profitability in European
Commercial Banking: implications for Antitrust Analysis: Ph.D.
Dissertation.
Ucal, M.; Ozcan, K. M.; Bilgin, M. H.; Mungo, J. 2010. Relationship
between Financial Crisis and Foreign Direct Investment in Developing
Countries Using Semiparametric Regression Approach, Journal of Business
Economics and Management 11(1): 20-33. doi:10.3846/jbem.2010.02
Ahmet Faruk Aysan [1], Mustafa Mete Karakaya [2], Metin Uyanik [3]
[1] Department of Economics, Bogazici University, 34342 Bebek,
Istanbul, Turkey
[2] Department of Economics, University of Chicago, 1126 East 59th
Street, Chicago, Illinois, USA, 60637
[3] Department of Economics, Johns Hopkins University, 440
Mergenthaler Hall 3400 N. Charles Street, Baltimore, MD, USA 21218
E-mails: [1] ahmet.aysan@boun.edu.tr (corresponding author); [2]
metekarakaya@uchicago.edu; [3] muyanik1@jhu.edu
Received 31 January 2011; accepted 15 March 2011
(1) See Gineviciene and Tvaronaviciene (2005) for an excellent
evaluation of development level of new European Union members.
(2) See Kosekahyaoglu (2006); Bilgin et al. (2010); Dumlubag (2009)
and Ucal et al. (2010) for detailed account of Turkish Economy.
(3) Also see Altunbas and Chakravarty (1998); Aysan and Ceyhan
(2008); Berg et al. (1993); Berger et al. (1993); Berger, Mester (1997);
Gong and Sickels (1992); Kumbhakar (1990); Kwan and Eisenbeis (1994);
Lang (1996) and Maudos et al. (2002).
(4) Isik and Hassan (2002b); Abbasoglu et al. (2007); Demir et al.
(2005); Carvallo and Kasman (2004); Akin et al. (2010) employ these
variables in their models.
(5) Also see Aigner et al. (1997); Battese and Coelli (1988, 1995);
Greene (2001, 2002, 2004); Schmidt (1988) and Sickles (2005).
(6) See Sufian and Habibullah (2009) for determinants of bank
profitability in developing countries.
Ahmet Faruk AYSAN. He is an Assoc. Prof. of Economics at Bogazici
University holds a PhD in Economics from the Department of Economics,
University of Maryland College Park, US (2005). Currently, he works on
governance, institutions, internationalization of banking, foreign bank
entry, credit card competition, regulation of financial markets and G20.
Mustafa Mete KARAKAYA. He is a PhD student at the University of
Chicago, Department of Economics. His research interests span empirical
asset pricing, financial economics and banking.
Metin UYANIK. He is a PhD student at Johns Hopkins University. He
received his MA degree in Economics at Koc University (2010) and BA
degree in economics at Bogazici University (2008). His current work
focuses on applied macroeconomics.
Table 1. Number of Banks
Dec Dec Dec Dec
2000 2001 2002 2003
Commercial 61 46 40 36
State Owned 4 3 3 3
Privately-owned 28 22 20 18
Under SDIF * 11 6 2 2
Foreign 18 15 15 13
Development and Investment 18 15 14 14
Sector Total 79 61 54 50
Dec Dec Dec Sep
2004 2005 2006 2007
Commercial 35 34 33 33
State Owned 3 3 3 3
Privately-owned 18 17 14 12
Under SDIF * 1 1 1 1
Foreign 13 13 15 17
Development and Investment 13 13 13 13
Sector Total 48 47 46 46
Note: * Saving Deposit Insurance Fund (TMSF)
Source: The Banks Association of Turkey
Table 2. Number of Branches
Dec Dec Dec Dec
2000 2001 2002 2003
Commercial 7807 6889 6087 5949
State Owned 2834 2725 2019 1971
Privately-owned 3783 3523 3659 3594
Under SDIF * 1073 408 203 175
Foreign 117 233 206 209
Development and Investment 30 19 19 17
Sector Total 7837 6908 6106 5966
Dec Dec Dec Sep
2004 2005 2006 2007
Commercial 6088 6228 6804 7318
State Owned 2149 2035 2149 2165
Privately-owned 3729 3799 3582 3868
Under SDIF * 1 1 1 1
Foreign 209 393 1072 1284
Development and Investment 18 19 45 48
Sector Total 6106 6247 6849 7366
Note: * Saving Deposit Insurance Fund (TMSF)
Source: The Banks Association of Turkey
Table 3. Number of Employees
Dec Dec Dec Dec
2000 2001 2002 2003
Commercial 164845 132274 118329 118607
State Owned 70191 56108 40158 37994
Privately-owned 70954 6438 66869 70614
Under SDIF * 19895 6391 5886 4518
Foreign 3805 5395 5416 5481
Development and Investment 5556 5221 4942 4642
Sector Total 170401 137495 123271 123249
Dec Dec Dec Sep
2004 2005 2006 2007
Commercial 12263 127857 13857 149102
State Owned 39467 38046 39223 4014
Privately-owned 7688 78806 7322 78741
Under SDIF * 403 395 333 327
Foreign 588 1061 25794 29894
Development and Investment 4533 4401 4573 4681
Sector Total 127163 132258 143143 153783
Note: * Saving Deposit Insurance Fund (TMSF)
Source: The Banks Association of Turkey
Table 4. Descriptive Statistics
Cost Cost Cost
Efficiency Efficiency Efficiency
2002-2007 2002-2005 2005-2007
Mean 0.75 0.74 0.91
Median 0.73 0.73 0.92
Maximum 0.90 0.87 0.95
Minimum 0.65 0.65 0.84
Std. Dev. 0.08 0.06 0.04
Skewness 0.43 0.39 -0.58
Observations 32 32 32
Profit Profit Profit
Efficiency Efficiency Efficiency
2002-2007 2002-2005 2005-2007
Mean 0.81 0.60 0.36
Median 0.82 0.59 0.30
Maximum 0.85 0.62 0.62
Minimum 0.76 0.58 0.16
Std. Dev. 0.03 0.01 0.17
Skewness -0.75 0.53 0.38
Observations 32 32 32
Source: Authors' calculation
Table 5. Cost-Profit Efficiency Scores
Cost Cost Cost
Efficiency Efficiency Efficiency
2002-2007 2002-2005 2005-2007
ABN 0.66 0.67 0.88
AKB 0.89 0.87 0.92
ALTR 0.73 0.77 0.93
ANDL 0.69 0.68 0.94
ARTB 0.68 0.71 0.94
BDR 0.65 0.67 0.92
BNKM 0.67 0.73 0.84
BFB 0.78 0.68 0.91
CTB 0.70 0.70 0.88
DNZB 0.86 0.80 0.94
DTCB 0.65 0.65 0.84
FNB 0.75 0.77 0.88
FRB 0.83 0.80 0.94
HBB 0.65 0.65 0.84
HSBC 0.77 0.75 0.91
KCB 0.67 0.67 0.86
MLB 0.68 0.74 0.84
OYK 0.80 0.74 0.94
SCG 0.65 0.66 0.84
SKRB 0.73 0.68 0.94
TKF 0.69 0.68 0.94
TKS 0.70 0.70 0.88
TRKS 0.75 0.81 0.91
TRKL 0.66 0.65 0.93
TEB 0.77 0.75 0.94
TCZB 0.87 0.83 0.93
TGB 0.79 0.72 0.95
THB 0.84 0.79 0.95
TIS 0.85 0.81 0.92
TVB 0.90 0.84 0.95
WLB 0.70 0.73 0.88
YKR 0.89 0.82 0.84
Profit Profit Profit
Efficiency Efficiency Efficiency
2002-2007 2002-2005 2005-2007
ABN 0.80 0.60 0.45
AKB 0.84 0.61 0.38
ALTR 0.83 0.59 0.20
ANDL 0.83 0.60 0.16
ARTB 0.83 0.60 0.19
BDR 0.82 0.60 0.18
BNKM 0.77 0.61 0.62
BFB 0.80 0.61 0.60
CTB 0.80 0.59 0.48
DNZB 0.84 0.58 0.23
DTCB 0.76 0.62 0.62
FNB 0.80 0.59 0.47
FRB 0.84 0.58 0.21
HBB 0.76 0.62 0.62
HSBC 0.82 0.58 0.31
KCB 0.77 0.61 0.55
MLB 0.78 0.60 0.62
OYK 0.83 0.58 0.19
SCG 0.78 0.60 0.62
SKRB 0.81 0.61 0.20
TKF 0.84 0.58 0.16
TKS 0.80 0.59 0.44
TRKS 0.82 0.59 0.30
TRKL 0.83 0.58 0.18
TEB 0.84 0.58 0.18
TCZB 0.83 0.61 0.42
TGB 0.85 0.58 0.23
THB 0.84 0.60 0.27
TIS 0.83 0.59 0.38
TVB 0.84 0.59 0.26
WLB 0.80 0.59 0.53
YKR 0.76 0.59 0.27
Source: Authors' calculation
Table 6. Efficiency Ranks of the Banks
Cost Cost Cost
Efficiency Efficiency Efficiency
2002-2007 2002-2005 2005-2007
Rank rank rank rank
1 TVB# AKB THB#
2 YKR TVB# TVB#
3 AKB TCZB# TGB
4 TCZB# YKR ARTB
5 DNZB TIS ANDL
6 TIS TRKS TKF
7 THB# DNZB SKRB
8 FRB FRB FRB
9 OYK THB# OYK
10 TGB ALTR DNZB
11 BFB FNB TEB
12 TEB TEB TCZB#
13 HSBC HSBC ALTR
14 TRKS MLB TRKL
15 FNB OYK BDR
16 SKRB BNKM AKB
17 ALTR WLB TIS
18 WLB TGB TRKS
19 CTB ARTB HSBC
20 TKS TKS BFB
21 ANDL CTB FNB
22 TKF BFB TKS
23 ARTB TKF WLB
24 MLB ANDL CTB
25 BNKM SKRB ABN
26 KCB BDR KCB
27 TRKL ABN BNKM
28 ABN KCB DTCB
29 BDR SCG HBB
30 SCG TRKL MLB
31 DTCB DTCB SCG
32 HBB HBB YKR
Profit Profit Profit
Efficiency Efficiency Efficiency
2002-2007 2002-2005 2005-2007
Rank rank rank rank
1 TGB DTCB BNKM
2 TVB# HBB DTCB
3 AKB AKB HBB
4 THB# KCB MLB
5 TKF BNKM SCG
6 FRB BFB BFB
7 DNZB SKRB KCB
8 TEB TCZB# WLB
9 TRKL SCG CTB
10 OYK BDR FNB
11 TCZB# ARTB ABN
12 TIS THB# TKS
13 ALTR MLB TCZB#
14 ARTB ANDL AKB
15 ANDL ABN TIS
16 HSBC WLB HSBC
17 TRKS TKS TRKS
18 BDR TRKS YKR
19 SKRB CTB THB#
20 FNB TIS TVB#
21 CTB FNB DNZB
22 TKS TVB# TGB
23 BFB YKR FRB
24 ABN ALTR SKRB
25 WLB TKF ALTR
26 MLB TRKL OYK
27 SCG TGB ARTB
28 BNKM DNZB BDR
29 KCB FRB TRKL
30 DTCB TEB TEB
31 HBB OYK ANDL
32 YKR HSBC TKF
Notes: Bold: State banks, Italic: Foreign banks,
Other: Domestic Private banks
Source: The Banks Association of Turkey
Notes: Bold: State banks, Italic: Foreign banks,
Other: Domestic Private banks indicated with #.
Table 7. Cost Efficiency
Dependent Variable
Fixed Effect Return on Asset Retun on Equity
Regression
Coef. t-value Coef. t-value
Explanatory variable
Cost Efficiency 0.221534 1 -0.03198 -0.43
Size 2.81E-07 1.79 1.56E-07 2.95
Constant -0.04848 -0.25 0.002128 0.03
Source: Authors' calculation
Table 8. Profit Efficiency
Dependent Variable
Fixed Effect Regression Return on Asset Retun on Equity
Coef. t-value Coef. t-value
Explanatory variable
Profit Efficiency -0.20271 -1.48 0.012627 0.27
Size 2.82E-07 1.84 1,55E-07 2.93
Constant 0.22948 1.95 -0.02942 -0.72
Source: Authors' calculation
Table 9. Correlation Matrix
Without State Banks
Cost Profit Cost
Efficiency Efficiency Efficiency
2002-2007 2002-2007 2002-2005
Cost Efficiency 2002-2007 0.9997 0.4201 0.8726
Profit Efficiency 2002-2007 0.4155 0.9951 0.3856
Cost Efficiency 2002-2005 0.8444 0.3524 0.9944
Profit Efficiency 2002-2005 -0.4113 -0.5934 -0.41
Cost Efficiency 2005-2007 0.3622 0.9354 0.248
Profit Efficiency 2005-2007 -0.3499 -0.741 -0.2747
Profit Cost Profit
Efficiency Efficiency Efficiency
2002-2005 2005-2007 2005-2007
Cost Efficiency 2002-2007 -0.3665 0.3655 -0.3275
Profit Efficiency 2002-2007 -0.6052 0.9419 -0.7748
Cost Efficiency 2002-2005 -0.3287 0.2194 -0.2146
Profit Efficiency 2002-2005 0.9959 -0.4981 0.6626
Cost Efficiency 2005-2007 -0.4878 0.9952 -0.8448
Profit Efficiency 2005-2007 0.6514 -0.8327 0.9999
Source: Authors' calculation