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In this study we propose a new determinant of non-performing loans for the case of the Greek banking sector. We employ aggregate yearly data for the period 1996-2016 and we conduct a Principal Component Analysis for all the Worldwide Governance Indicators (WGI) for Greece, aiming to isolate the...
Persistent link: https://www.econbiz.de/10012825540
In this study we propose a new determinant of non-performing loans for the case of the Greek banking sector. We employ aggregate yearly data for the period 1996- 2016 and we conduct a Principal Component Analysis for all the Worldwide Governance Indicators (WGI) for Greece, aiming to isolate the...
Persistent link: https://www.econbiz.de/10012868665
Persistent link: https://www.econbiz.de/10012026129
We link senior banks loan officers' responses regarding their decisions for bank credit standards, from successive surveys from the European Bank Lending Survey to investigate two important issues. First, we examine the relationship between bank credit standards (CS) and perceived and actual...
Persistent link: https://www.econbiz.de/10012842020
Persistent link: https://www.econbiz.de/10013286677
Persistent link: https://www.econbiz.de/10012155644
We link senior banks loan officers’ responses regarding their decisions for bank credit standards, from successive surveys from the European Bank Lending Survey to investigate two important issues. First, we examine the relationship between bank credit standards (CS) and perceived and actual...
Persistent link: https://www.econbiz.de/10013492350
This study aims to examine the determinants of the MIR interest rate in the Euro area for the period 2003Q1-2015Q3. By employing Fixed and Random Effects as econometric methodologies, I examine whether the MIR rate is affected by the following macroeconomic factors: unemployment rate, inflation...
Persistent link: https://www.econbiz.de/10012548930
Persistent link: https://www.econbiz.de/10011750222
This paper examines the Leverage Ratio and Total Capital Ratio of global versus non-global banks in both the pre- and post-crisis periods. A panel data set of 165 global and non-global financial institutions from 38 countries is used for the period 1999-2015 and a random effects model is...
Persistent link: https://www.econbiz.de/10014558490