2014
DOI: 10.1016/s2212-5671(14)00724-2
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Correlation Analysis of Macroeconomic and Banking System Indicators

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Cited by 5 publications
(4 citation statements)
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“…Third, IR has also shown a significant adverse effect on bank deposits, positive on speculation in the FEM, and an insignificant impact on the stock market as Chen ( 2009) and Toraman and Başarir (2014) got the same result the insignificant effect of IR on the stock market. IR has shown an adverse effect in some countries and a positive impact in some more economies on bank deposits based on the study of Larionova and Varlamova (2014). The negative impact of IR on bank deposits has confirmed our discussion in Sect.…”
Section: Discussionsupporting
confidence: 82%
“…Third, IR has also shown a significant adverse effect on bank deposits, positive on speculation in the FEM, and an insignificant impact on the stock market as Chen ( 2009) and Toraman and Başarir (2014) got the same result the insignificant effect of IR on the stock market. IR has shown an adverse effect in some countries and a positive impact in some more economies on bank deposits based on the study of Larionova and Varlamova (2014). The negative impact of IR on bank deposits has confirmed our discussion in Sect.…”
Section: Discussionsupporting
confidence: 82%
“…Currency undervaluation is also correlated negatively with GDP share changes mentioned Park et al (2019), Wang et al (2022). Due Larionova and Varlamova (2014) influence of economic crisis changes correlation force between macroeconomic factors and indicators of a banking system. Stock market movements are dependent on real-time GDP developments, it is written by Ball and French (2021), Hao et al (2022), Dong et al (2021).…”
Section: Theoretical Backgroundmentioning
confidence: 94%
“…(2) For the purpose of assessing the impact of certain developments on the banking sector, researchers often use a correlation (Larionova et al, 2014, Jasevičienė et al, 2013, Biswas et al, 2018, Bikker, 2010 and regression analysis (Milič et al, 2017, Tunay et al, 2015. Furthermore, most frequently for analyzing the impact of financial technologies on banks, researchers use the correlation-regression analysis method (DeYoung, 2005, Mwaura et al, 2016, Mustapha, 2015, Mansilla-Fernandez, 2017, Tunay et al, 2015, Shah et al, 2014.…”
Section: Methodsmentioning
confidence: 99%