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The Effect of Economic Variables on Banking Credits: An Empirical Study of Algeriancommercial Banks (1997-2017)

Author

Listed:
  • Abderzag Fouzi

    (Professor at Bicha of Univesity -Kingdom of saudi Arabia)

Abstract

The study aimed to test the effect of deposits, real interest rate, population and economic reforms on the Banking credit fromAlgeriancommercial banks represented by the size of credit facilities. The study used annual data for the period from 1997 to 2017. Where the Multi regression model was estimated using a method of Ordinary Least Squares OLS. Results of the analysis showed that there is a positive relationship with a statistically significant between the credit facilities and the deposits and the variable of economicreforms, while the real interest rate and population size have been linked by significant negative relationship.

Suggested Citation

  • Abderzag Fouzi, 2018. "The Effect of Economic Variables on Banking Credits: An Empirical Study of Algeriancommercial Banks (1997-2017)," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 4, September.
  • Handle: RePEc:eur:ejesjr:279
    DOI: 10.2478/ejes-2018-0067
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    References listed on IDEAS

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    1. David Yermack, 2013. "Is Bitcoin a Real Currency? An economic appraisal," NBER Working Papers 19747, National Bureau of Economic Research, Inc.
    2. Michel Rauchs & Garrick Hileman, 2017. "Global Cryptocurrency Benchmarking Study," Cambridge Centre for Alternative Finance Reports 201704-gcbs, Cambridge Centre for Alternative Finance, Cambridge Judge Business School, University of Cambridge.
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