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What Influences Bank Lending in Saudi Arabia?

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  • Mr. Ken Miyajima

Abstract

Determinants of bank-level credit growth in Saudi Arabia are investigated by applying a panel approach to data spanning 2000–15. Strong bank balance sheet conditions, economic activity, and oil prices support bank lending. Reduced bank concentration appears to have helped. Lending remained robust in 2015 despite oil prices having declined, helped by strong bank balance sheets and a reduction in bank holdings of “excess liquidity”. To support bank lending in the period ahead, bank balance sheets need to remain strong. Fiscal adjustment and a reduced reliance on banks to finance the budget deficit would support credit provision to the private sector.

Suggested Citation

  • Mr. Ken Miyajima, 2017. "What Influences Bank Lending in Saudi Arabia?," IMF Working Papers 2017/031, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2017/031
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    References listed on IDEAS

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    Cited by:

    1. Almir ALIHODŽIĆ & İbrahim Halil EKŞİ, 2018. "Credit growth and non-performing loans: evidence from Turkey and some Balkan countries," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 9, pages 229-249, December.
    2. Mensi, Walid & Hamdi, Atef & Shahzad, Syed Jawad Hussain & Shafiullah, Muhammad & Al-Yahyaee, Khamis Hamed, 2018. "Modeling cross-correlations and efficiency of Islamic and conventional banks from Saudi Arabia: Evidence from MF-DFA and MF-DXA approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 576-589.
    3. Cheikh A. Gueye & Asithandile Mbelu & Mr. Amadou N Sy, 2019. "Coping with Falling Oil Prices: The Different Fortunes of African Banks," IMF Working Papers 2019/129, International Monetary Fund.

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    More about this item

    Keywords

    WP; private sector; government bond; Bank credit; macro-financial linkages; fixed-effects panel model; oil price; bank credit growth; bank balance; fed funds rate; oil price growth; Oil prices; Credit; Capital adequacy requirements; Excess liquidity; Global;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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