15.04.2015 Views

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

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

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 />

| 77

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!