A macro stress test application on the financial system of Turkey: A credit risk perspective
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
Macro stress testing applications were initially introduced in 1991 with the Financial Sector Assessment Program (FSAP) launched by International Monetary Fund (IMF). Along with each economic and financial crisis, the popularity of macro stress testing increased. This study aims to investigate the financial stability of Turkey by testing it against shocks on macro variables using the Vector Error Correction model and the most up-to-date publicly available data. To this end, the banking sector as the main pillar of the financial sector was stress-tested against macroeconomic shocks using the Vector Error Correction Model based on monthly data for the period between 2005-2021. The impact of the shocks on the selected financial stability indicator, non-performing loan ratio was analyzed using Impulse Response Functions. The results showed that the banking sector was resilient to the applied shocks and the increase in non-performing loan ratio was of no significant concern. The present study also highlighted that the need for prudential oversight by conducting periodic tests and publication of the results remains of substantial importance to be prepared for possible future shocks.
Author
Ayşegül Alan
Institution
How to Cite
Ayşegül Alan (Master Thesis). A macro stress test application on the financial system of Turkey: A credit risk perspective, 2022, Çankaya University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Çankaya University
- Investigation of amazon and google for fault tolerance strategies in cloud computing services(2015)
- Investigation in MYSQLdatabase and NEO4J database(2015)
- Principal intervention in Civil Procedure Law(2018)
- Exchange rate and inflation relationship: The case of Turkey(2023)
- Effects of the economic news on herd behavior(2023)
- Experimental analysis of effects of different network parameters on TCP / IP networks(2025)
