IDEAS home Printed from https://ideas.repec.org/p/imf/imfwpa/2016-022.html
   My bibliography  Save this paper

An Empirical Investigation of Oil-Macro-Financial Linkages in Saudi Arabia

Author

Listed:
  • Mr. Ken Miyajima

Abstract

Oil-macro-financial linkages in Saudi Arabia are analyzed by applying panel econometric frameworks (multivariate and vector autoregression) to maceoeconomic and bank-level balance sheet data for 9 banks spanning 1999–2014. Lower growth of oil prices and non-oil private sector output leads to slower credit and deposit growth and higher nonperforming loan ratios, with feedback loops within bank balance sheets which in turn dampens economic activity. U.S. interest rates are not found to be a key determinant.

Suggested Citation

  • Mr. Ken Miyajima, 2016. "An Empirical Investigation of Oil-Macro-Financial Linkages in Saudi Arabia," IMF Working Papers 2016/022, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2016/022
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=43702
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Peltonen, Tuomas A. & Sousa, Ricardo M. & Vansteenkiste, Isabel S., 2012. "Wealth effects in emerging market economies," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 155-166.
    2. Beck, Roland & Jakubik, Petr & Piloiu, Anamaria, 2013. "Non-performing loans: what matters in addition to the economic cycle?," Working Paper Series 1515, European Central Bank.
    3. Love, Inessa & Turk Ariss, Rima, 2014. "Macro-financial linkages in Egypt: A panel analysis of economic shocks and loan portfolio quality," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 158-181.
    4. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    5. Mr. Reinout De Bock & Mr. Alexander Demyanets, 2012. "Bank Asset Quality in Emerging Markets: Determinants and Spillovers," IMF Working Papers 2012/071, International Monetary Fund.
    6. Marcucci, Juri & Quagliariello, Mario, 2008. "Is bank portfolio riskiness procyclical: Evidence from Italy using a vector autoregression," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(1), pages 46-63, February.
    7. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    8. Mr. Raphael A Espinoza & Mr. Ananthakrishnan Prasad, 2010. "Nonperforming Loans in the GCC Banking System and their Macroeconomic Effects," IMF Working Papers 2010/224, International Monetary Fund.
    9. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    10. Cho, Sungwon, 2006. "Evidence of a stock market wealth effect using household level data," Economics Letters, Elsevier, vol. 90(3), pages 402-406, March.
    11. Funke, Norbert, 2004. "Is there a stock market wealth effect in emerging markets?," Economics Letters, Elsevier, vol. 83(3), pages 417-421, June.
    12. Nir Klein, 2013. "Non-Performing Loans in CESEE: Determinants and Impact on Macroeconomic Performance," IMF Working Papers 2013/072, International Monetary Fund.
    13. Ms. Mwanza Nkusu, 2011. "Nonperforming Loans and Macrofinancial Vulnerabilities in Advanced Economies," IMF Working Papers 2011/161, International Monetary Fund.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Miyajima, Ken & Khandelwal, Padamja & Santos, Andre, 2017. "The Impact of Oil Prices on the Banking system in the Gulf Cooperation Council," MPRA Paper 92371, University Library of Munich, Germany.
    2. Claudiu Tiberiu Albulescu, 2022. "Bank Financial Stability and International Oil Prices: Evidence from Listed Russian Public Banks," Eastern European Economics, Taylor & Francis Journals, vol. 60(3), pages 217-246, May.
    3. Ken Miyajima, 2020. "What influences bank lending in Saudi Arabia?," Islamic Economic Studies, Emerald Group Publishing Limited, vol. 27(2), pages 125-155, April.
    4. Isma il Tijjani Idris & Sabri Nayan, 2017. "A Pooled Mean Group Approach to the Joint Effects of Oil Price Changes and Environmental Risks on Non-Performing Loans: Evidence from Organisation of the Petroleum Exporting the Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 345-351.
    5. Pavlova, Ivelina & de Boyrie, Maria E. & Parhizgari, Ali M., 2018. "A dynamic spillover analysis of crude oil effects on the sovereign credit risk of exporting countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 10-22.
    6. Al-Khazali, Osamah M. & Mirzaei, Ali, 2017. "The impact of oil price movements on bank non-performing loans: Global evidence from oil-exporting countries," Emerging Markets Review, Elsevier, vol. 31(C), pages 193-208.
    7. Nicholas Ngepah & Margarida Liandra Andrade da Silva & Charles Shaaba Saba, 2022. "The Impact of Commodity Price Shocks on Banking System Stability in Developing Countries," Economies, MDPI, vol. 10(4), pages 1-23, April.
    8. Padamja Khandelwal & Mr. Ken Miyajima & Mr. Andre O Santos, 2016. "The Impact of Oil Prices on the Banking System in the GCC," IMF Working Papers 2016/161, International Monetary Fund.
    9. Claudiu Albulescu, 2020. "Bank financial stability, bank valuation and international oil prices: Evidence from listed Russian public banks," Papers 2004.12791, arXiv.org.
    10. Magda Kandil & Minko Markovski, 2019. "UAE Banks’ Performance and the Oil Price Shock: Indicators for Conventional and Islamic Banks," Working Papers 1284, Economic Research Forum, revised 2019.
    11. Kassouri, Yacouba & Altıntaş, Halil & Bilgili, Faik, 2020. "An investigation of the financial resource curse hypothesis in oil-exporting countries: The threshold effect of democratic accountability," Journal of Multinational Financial Management, Elsevier, vol. 56(C).
    12. Maghyereh, Aktham & Abdoh, Hussein & Al-Shboul, Mohammad, 2022. "Oil structural shocks, bank-level characteristics, and systemic risk: Evidence from dual banking systems," Economic Systems, Elsevier, vol. 46(4).
    13. 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.
    14. Mohanned Alharbi, 2019. "The Reliance of the Saudi Economy and Adequacy of its Foreign Reserves with Reference to Oil Price Volatility: An Overview," International Journal of Business and Administrative Studies, Professor Dr. Bahaudin G. Mujtaba, vol. 5(6), pages 329-339.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vasiliki Makri, 2016. "Towards an Investigation of Credit Risk Determinants in Eurozone Countries," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 15(1), pages 27-57, March.
    2. Gulati, Rachita & Goswami, Anju & Kumar, Sunil, 2019. "What drives credit risk in the Indian banking industry? An empirical investigation," Economic Systems, Elsevier, vol. 43(1), pages 42-62.
    3. Ghosh, Amit, 2015. "Banking-industry specific and regional economic determinants of non-performing loans: Evidence from US states," Journal of Financial Stability, Elsevier, vol. 20(C), pages 93-104.
    4. Petr Jakubík & Thomas Reininger, 2013. "Determinants of Nonperforming Loans in Central, Eastern and Southeastern Europe," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 48-66.
    5. Ghosh, Amit, 2017. "Sector-specific analysis of non-performing loans in the US banking system and their macroeconomic impact," Journal of Economics and Business, Elsevier, vol. 93(C), pages 29-45.
    6. Vasiliki Makri, 2015. "What Triggers Loan Losses? An Empirical Investigation of Greek Financial Sector," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 65(3-4), pages 119-143, july-Dece.
    7. Škrabić Perić, Blanka & Rimac Smiljanić, Ana & Aljinović, Zdravka, 2018. "Credit risk of subsidiaries of foreign banks in CEE countries: Impacts of the parent bank and home country economic environment," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 49-69.
    8. Louhichi, Awatef & Boujelbene, Younes, 2016. "Credit risk, managerial behaviour and macroeconomic equilibrium within dual banking systems: Interest-free vs. interest-based banking industries," Research in International Business and Finance, Elsevier, vol. 38(C), pages 104-121.
    9. Aleš Melecký & Martin Melecký & Monika Šulganová, 2015. "Úvěry v selhání a makroekonomika: modelování systémového kreditního rizika v České republice [Non-Performing Loans and The Macroeconomy: Modeling the Systemic Credit Risk in the Czech Republic]," Politická ekonomie, Prague University of Economics and Business, vol. 2015(8), pages 921-947.
    10. Cândida Ferreira, 2022. "Determinants of Non-performing Loans: A Panel Data Approach," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 28(3), pages 133-153, November.
    11. Gamze Öztürk DANIŞMAN, 2018. "Determinants of Bank Stability: A Financial Statement Analysis of Turkish Banks," Sosyoekonomi Journal, Sosyoekonomi Society, issue 26(38).
    12. Radivojević, Nikola & Cvijanović, Drago & Sekulic, Dejan & Pavlovic, Dejana & Jovic, Srdjan & Maksimović, Goran, 2019. "Econometric model of non-performing loans determinants," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 481-488.
    13. Padamja Khandelwal & Mr. Ken Miyajima & Mr. Andre O Santos, 2016. "The Impact of Oil Prices on the Banking System in the GCC," IMF Working Papers 2016/161, International Monetary Fund.
    14. Brei, Michael & Jacolin, Luc & Noah, Alphonse, 2020. "Credit risk and bank competition in Sub-Saharan Africa," Emerging Markets Review, Elsevier, vol. 44(C).
    15. Candida Ferreira, 2023. "The Influence of Bank Performance, Market Condition and Economic Growth on Non-Performing Loansa," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 9(1), pages 77-98, June.
    16. Marcin Borsuk, 2019. "Forecasting the Net Interest Margin and Loan Loss Provision Ratio of Banks in Various Economic Scenarios: Evidence from Poland," Russian Journal of Money and Finance, Bank of Russia, vol. 78(1), pages 89-106, March.
    17. Mr. Reinout De Bock & Mr. Alexander Demyanets, 2012. "Bank Asset Quality in Emerging Markets: Determinants and Spillovers," IMF Working Papers 2012/071, International Monetary Fund.
    18. Muhammad Waqas & Nudrat Fatima & Aryan Khan & Muhammad Arif, 2017. "Determinants of Non-performing Loans: A Comparative Study of Pakistan, India, and Bangladesh," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 6(1), pages 51-68, January.
    19. Tölö, Eero & Virén, Matti, 2021. "How much do non-performing loans hinder loan growth in Europe?," European Economic Review, Elsevier, vol. 136(C).
    20. Svetozar Tanasković & Maja Jandrić, 2015. "Macroeconomic and Institutional Determinants of Non-performing Loans," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 4(1), pages 47-62.

    More about this item

    Keywords

    WP; price; bank; private sector; NPL ratio; Macro-financial linkages; nonperforming loans; panel vector autoregression; oil price; price growth; Brent crude; bank npls; solvency risk; equity price; Oil prices; Credit; Financial statements; Stocks; Middle East; North Africa; East Africa; Eastern Europe; Global;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • 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
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:imf:imfwpa:2016/022. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.