3 Issuing costs of state guaranteed bonds - Financial Risk and ...
3 Issuing costs of state guaranteed bonds - Financial Risk and ...
3 Issuing costs of state guaranteed bonds - Financial Risk and ...
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4 Impact <strong>of</strong> <strong>state</strong> <strong>guaranteed</strong> <strong>bonds</strong> on bank lending, funding <strong>and</strong> pr<strong>of</strong>itability performance<br />
Sections 4.4.2-4.4.3 present the estimation results <strong>of</strong> the impact <strong>of</strong> <strong>state</strong> guarantees on bank<br />
lending <strong>and</strong> leverage.<br />
Section 4.5 provides conclusions.<br />
We begin with a description <strong>of</strong> data <strong>and</strong> measurement below.<br />
4.2 Data <strong>and</strong> measurement<br />
As per chapter 3, two sources were used to collect information at the bond-level, bank-level <strong>and</strong><br />
wholesale funding market-level:<br />
BankScope® provided bank-level data, including financial <strong>state</strong>ments, ratings <strong>and</strong> other<br />
information for listed <strong>and</strong> non-listed banks. Bank data were collected in order to analyse<br />
the impact <strong>of</strong> the issuance <strong>of</strong> SG <strong>bonds</strong> on bank performance, credit extension <strong>and</strong> access<br />
to wholesale funding, among other bank outcomes.<br />
Bloomberg® provided bond- <strong>and</strong> market-level data, <strong>and</strong> complemented BankScope with<br />
bank-level data for listed banks. Bond-level data were gathered to measure bond issuing<br />
<strong>costs</strong> <strong>and</strong> their determinants. And, market-level data were collected to provide marketlevel<br />
information on factors influencing bank outcomes <strong>and</strong> bond issuing <strong>costs</strong>.<br />
In addition to the main data sources used, information contained in various central bank,<br />
government <strong>and</strong> other reports were used to compile a database <strong>of</strong> the features <strong>of</strong> <strong>state</strong> guarantee<br />
schemes. The primary use for this database was to identify non-SG <strong>bonds</strong> that would have been<br />
eligible for a <strong>state</strong> guarantee to form the counterfactual group <strong>of</strong> banks or comparison group<br />
against which to compare the performance <strong>of</strong> banks having issued SG <strong>bonds</strong>.<br />
In short the control group consists <strong>of</strong> banks that were eligible to issue SG <strong>bonds</strong> but did not do so<br />
why the “treated” group consists <strong>of</strong> banks that issued SG <strong>bonds</strong>. Using as a control group the<br />
banks that could have issued SG <strong>bonds</strong> rather than the whole population <strong>of</strong> banks that did not<br />
issue SG <strong>bonds</strong> is more appropriate to assess the impact <strong>of</strong> issuing <strong>bonds</strong> <strong>and</strong> any relative<br />
competitive advantage that may have arisen as a result <strong>of</strong> the issue <strong>of</strong> SG <strong>bonds</strong> “Treated” <strong>and</strong><br />
control group differ mainly in that one group benefited from a “treatment”, namely the guarantee<br />
<strong>of</strong> their bond issues.<br />
The remainder <strong>of</strong> this section considers bank data <strong>and</strong> measurement in depth in relation to bank<br />
outcomes.<br />
4.2.1 Bank outcomes<br />
For the study <strong>of</strong> the impact <strong>of</strong> <strong>state</strong> guarantees on bank performance, the following key bank<br />
outcomes are considered: (i) credit extension, (ii) funding outcomes, (iii) bank performance <strong>and</strong><br />
(iv) leverage. The variables chosen for this analysis are summarised in Table 14. 16<br />
16 We note at this stage that the use <strong>of</strong> balance sheet variables proxies for the underlying economic concepts <strong>of</strong> interest.<br />
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