2014
DOI: 10.1007/s11294-013-9444-x
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Credit Risk Determinants for the Bulgarian Banking System

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Cited by 48 publications
(32 citation statements)
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References 31 publications
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“…The main body of the empirical literature uses VAR models instead of cointegration analysis, although several methods are available for conducting cointegration tests such as the Engle-Granger approach, the maximum likelihood based Johansen test and the Autoregressive Distributed Lag approach to cointegration (ARDL) (Nikolaidou and Vogiazas, 2014). Through the use of VAR, Nkusu (2011) concludes that slow GDP growth and unemployment positively affected credit risk in a large group of advanced economies from 1998 to 2009.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The main body of the empirical literature uses VAR models instead of cointegration analysis, although several methods are available for conducting cointegration tests such as the Engle-Granger approach, the maximum likelihood based Johansen test and the Autoregressive Distributed Lag approach to cointegration (ARDL) (Nikolaidou and Vogiazas, 2014). Through the use of VAR, Nkusu (2011) concludes that slow GDP growth and unemployment positively affected credit risk in a large group of advanced economies from 1998 to 2009.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Greenidge and Grosvenor (2009) employ the ARDL approach to investigate NPLs in Barbados over the period 1996-2008 and conclude that they are significantly affected by interest rates in the long run while Nikolaidou and Vogiazas (2013) following the same approach conclude that the lending growth jointly with money supply and unemployment have a significant long-run impact on Romania's credit risk over the period 2001-2010. Consistently, Nikolaidou and Vogiazas (2014) find that NPLs in the Bulgarian banking system are explained by both macroeconomic and industry-specific variables as well as by exogenous factors such as the recent global financial crisis. Gila-Gourgoura and Nikolaidou (2016), conclude that the real GDP, the Spanish long-term government bond yield, the return on equity, the total credit granted by the Spanish banks and their capital to assets ratio, explain credit risk in Spain both in the short and the long run.…”
Section: Literature Reviewmentioning
confidence: 70%
“…Banks have started to generate profits and have begun to increase the amount of credit extended to the public. The application of the provisions of the ratio of non-performing loans (Non Performing Financing or Non Performing Financing) below 5% issued by Bank Indonesia made the banks try to meet these provisions (Nikolaidou & Vogiazas, 2014).…”
Section: Difference In Profit Management Levels In Islamic Banks Andmentioning
confidence: 99%