2014
DOI: 10.5901/ajis.2014.v3n3p491
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Nonperforming Loans in Albania

Abstract: This paper examines the continuous increase of nonperforming loans in Albania as a result of the problems caused by economics crisis and the decrease of incomes coming from emigrants. The methodology used consists on applying Johansen multivariate co-integration test to show the long-run relationship that exists between nonperforming loans and: real GDP; unemployment; inflation; loan interest rate; and remittance. The data taken are calculated on quarterly basis from 2003 to 2013. The results show that nonperf… Show more

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Cited by 11 publications
(11 citation statements)
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“…Authors analysing the impact of economic factors focus both on external events such as general macroeconomic conditions, which could impact on the ability of borrowers to repay their loans, and the variability of NPLs through banks. Turan and Koskija (2014) problems caused by the economic crisis and the decrease of emigrant incomes. They use quarterly data for the period 2003 to 2013 and a multivariate co-integration test to reveal that NPLs and real GDP, unemployment, inflation, loan interest rate and remittances are co-integrated in the long run, but not in a strong way.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Authors analysing the impact of economic factors focus both on external events such as general macroeconomic conditions, which could impact on the ability of borrowers to repay their loans, and the variability of NPLs through banks. Turan and Koskija (2014) problems caused by the economic crisis and the decrease of emigrant incomes. They use quarterly data for the period 2003 to 2013 and a multivariate co-integration test to reveal that NPLs and real GDP, unemployment, inflation, loan interest rate and remittances are co-integrated in the long run, but not in a strong way.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The sharp rise in non-performing loans (NPLs) in the last decade has caught the attention of many scholars around the world to try to explain this phenomenon. Various authors such as Anjom and Karim (2015), Turan and Koskija (2014), Çeliku and Luçi (2003), Clichici and Colesnicova (2014), Kurumi and Bushpupa (2017), and Hanifan Fajar and Umanto (2017), have studied the impact of macroeconomic factors on the level of NPLs. They reveal a relationship between macroeconomic factors and specific bank factors on NPLs in transition countries and note that Gross Domestic Product (GDP), inflation and unemployment had a significant positive impact on decreasing NPLs.…”
Section: Introductionmentioning
confidence: 99%
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“…The enhanced quality of banks' reserves is due to faster growth in nominal income and credit, expanded financial inclusion, as well as the attempts of supervisory authorities to enhance the control of banks' credit risk and underwriting activities. In recent years, the non-performing loan -fundamental macro nexus have attracted immense interest among scholars (Dimitrios et al, 2016;Anjom & Karim, 2016;Turan & Koskija, 2014;Ghosh, 2015;Grigoli et al, 2018;Makri et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Different empirical results have been presented by the author(s) and there are some researchers supporting the effects of macroeconomic variables on NPLs, and they can be presented as follows: Jayaratne and Strahan (1996), Gambera (2000), Domac and Peria (2000), Arpa et al (2001), Kalirai and Scheicher (2002), Shu (2002), Quagliariello (2003), Ranjan and Dhal (2003), Jimenez and Saurina (2006), Ghosh (2007), Bebczuk and Sangiácomo (2008), Cifter et al (2009), Espinoza and Prasad (2010), Dash and Kabra (2010), Bofondi and Ropele (2011), Vogiazas andNikolaidou (2011), Yuksel (2011), Adebola et al (2011), Nkusu (2011, Alper and Anbar (2011), Louzis et al (2012), Swami (2012), Saba et al (2012), Farhan et al (2012), Zeng (2012), Mileris (2012), Macit (2012), Messai and Jouini (2013), Beck et al (2013), Badar et al (2013), Otasevic (2013, Vatansever and Hepsen (2013), Klein (2013), Messai and Jouini (2013), Ahmad and Bashir (2013), Castro (2013), Ebeke et al (2014), Sahbaz andInkaya (2014), Makri et al (2014), Clichici and Colesnicova (2014), Prasanna (2014), …”
Section: Introductionmentioning
confidence: 99%