financial stability report - Banka Qendrore e Republikës së Kosovës
financial stability report - Banka Qendrore e Republikës së Kosovës
financial stability report - Banka Qendrore e Republikës së Kosovës
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Financial Stability Report<br />
Number 3<br />
have difficulties in distinguishing between low-risk and high-risk borrowers. According to<br />
Marquez (2002), as the number of banks increases, each bank has less information about<br />
the market participants because of the ‘’information dispersion’’ among banks, thus<br />
increasing the adverse selection problem. However, this theory does not take into account<br />
the information-sharing infrastructure such as credit bureaus that are nowadays present<br />
almost in every country. The adverse selection problem is also tackled through the<br />
screening procedures, where the bank induces the potential borrower to reveal information<br />
that is relevant for the bank’s decision on whether or not to issue a loan to that particular<br />
customer. The majority of studies examining the impact of competition on bank screening<br />
argue for a negative relationship, implying that higher competition leads to less screening<br />
by banks, thus increasing the probability that a larger share of poor quality borrowers will<br />
be granted credit (Chan et al., 1986; Manove et al., 2001). According to these authors, when<br />
competition increases the screening is reduced either because banks tend to reduce the<br />
expenditures or they want deviate from appropriate screening of loan applicants in order to<br />
seize larger market share. However, increased competition may not necessarily have a<br />
negative impact on the bank screening level. Chen (2007) views screening as an additional<br />
component of competing strategy for the bank, arguing that a bank can compete with other<br />
banks by offering lower loan interest rates as well as by increasing its screening effort.<br />
According to this author, apart from preferring lower loan interest rates, good borrowers<br />
may also prefer to be better screened, so that they can be correctly recognized by the bank<br />
which, in turn, would reward them with easier and more favourable access to finance in<br />
future.<br />
The impact of competition on the level of bank risk-taking through its impact on loan<br />
interest rates has been addressed also by Boyd and de Nicoló (2005) who suggest that<br />
monopoly banks take higher risks, while increased competition leads to lower risk in banks’<br />
asset portfolios. According to Boyd and de Nicoló, as monopoly banks tend to charge higher<br />
loan interest rates, entrepreneurs will be inclined to engage in riskier projects, which<br />
promise them higher rates of return, in order to compensate for the high interest payments.<br />
Conversely, when competition increases, banks will tend to offer lower loan interest rates<br />
which, in turn, will induce borrowers to undertake safer projects. This implies that the<br />
increase of competition in the banking market leads to a lower risk in banks’ asset<br />
portfolios.<br />
The relationship between competition and bank risk-taking remains ambiguous also in the<br />
empirical literature, with one strand claiming that the increased banking competition<br />
impairs the <strong>stability</strong> of the banking system (Keeley (1990), Salas and Saurina (2003), Dick<br />
(2006)), while the other maintaining that the <strong>stability</strong> of the banking system is enhanced<br />
when there is more intense competition between banks (Boyd and De Nicoló’s (2005),<br />
Schaeck and Čihák (2007), Jayaratne and Strahan (1998)).<br />
8.3. The measurement of banking sector competition in CEE countries using the<br />
Panzar-Rosse approach<br />
The aim of this section is to estimate the variable on the banking sector competition in the<br />
CEE transition economies, which is then going to be used as an explanatory variable in the<br />
estimation of the impact of banking sector competition on loan-loss provisions.<br />
The Panzar and Rosse (1987) model is a non-structural approach, grounded in the<br />
microeconomic theory, which measures the competition by directly quantifying the conduct<br />
of firms and not taking into account any element of market structure. The P-R model<br />
produces the so-called H-statistic, which measures the sum of elasticities of banks’<br />
revenues with respect to banks’ input prices. In other words, the H-statistic indicates how<br />
banks’ revenues respond to an increase in input prices. According to this approach, bank<br />
revenues respond differently to the change of input prices depending on the competitive<br />
behaviour of the bank. The value of the H-statistic is that it implies whether the conduct of<br />
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