Financial Development and Natural Resources Dynamics in Saudi Arabia: Visiting ‘Resource Curse Hypothesis’ by NARDL and Wavelet-Based Quantile-on-Quantile Approach


  • Imran Sharif Chaudhry Dean of Social Sciences and Director, School of Economics Bahauddin Zakariya University, Multan, Pakistan
  • Muhammad Faheem Assistant Professor, School of Economics Bahauddin Zakariya University Multan, Pakistan
  • Fatima Farooq Associate Professor, School of Economics, Bahauddin Zakariya University, Multan, Pakistan
  • Sajid Ali PhD Scholar, School of Business and Economics, Universiti Putra, Malaysia



Natural Resource Rent, Financial Development, NARDL, Wavelet-based Quantile-on-Quantile, Saudi Arabia


This study analyses the impact of natural resource rent on financial development to test the resource curse hypothesis in Saudi Arabia on quarterly data span from 1985Q1 to 2017Q4. We employ two novel methodologies at same time such as nonlinear autoregressive model (NARDL) and Wavelet-based quantile-on-quantile estimation to check the asymmetric behaviour of natural resource rent on financial development. The findings of NARDL confirm the nonlinear behaviour of natural resource rent with financial development. The results also show real GDP, gross capital formation and institutional quality affect financial development positively. The empirical results of Wavelet-based quantile-on-quantile estimation method also reveal the heterogeneous response of natural resource rent effect when decomposes into different quantiles that become positive to negative. The results further explain that the natural resource rent has a positive effect in short-run, but it exerts an adverse effect on financial development after attaining stability.


Al-Torkistani, H. M., Salisu, M. A., & Maimany, K. A. (2016). Modeling a sustainable Saudi Arabian economy: the real issues. International Journal of Sustainable Development & World Ecology, 23(2), 186-193.

Arain, H., Han, L., Sharif, A., & Meo, M. S. (2019). Investigating the effect of inbound tourism on FDI: The importance of quantile estimations. Tourism Economics, 1354816619859695.

Asif, M., Khan, K. B., Anser, M. K., Nassani, A. A., Abro, M. M. Q., & Zaman, K. (2020). Dynamic interaction between financial development and natural resources: Evaluating the ‘Resource curse’hypothesis. Resources Policy, 65, 101566.

Auty, R., & Warhurst, A. (1993). Sustainable development in mineral exporting economies. Resources Policy, 19(1), 14-29.

Auty, R. M. (2001). The political economy of resource-driven growth. European economic review, 45(4-6), 839-846.

Bah, M. M., & Saari, M. Y. (2020). Quantifying the impacts of energy price reform on living expenses in Saudi Arabia. Energy Policy, 139, 111352.

Balassa, B. A. (1980). The process of industrial development and alternative development strategies (Vol. 1). Washington, DC: World Bank.

Bhattacharyya, S., & Hodler, R. (2014). Do natural resource revenues hinder financial development? The role of political institutions. World Development, 57, 101-113.

Cheng, M., Chung, L., Tam, C. S., Yuen, R., Chan, S., & Yu, I. W. (2012). Tracking the Hong Kong Economy. Occasional Paper, 3, 2012.

Corden, W. M., & Neary, J. P. (1982). Booming sector and de-industrialisation in a small open economy. The economic journal, 92(368), 825-848.

Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American statistical association, 74(366a), 427- 431.

Dwumfour, R. A., & Ntow-Gyamfi, M. (2018). Natural resources, financial development and institutional quality in Africa: Is there a resource curse?. Resources Policy, 59, 411- 426.

Elbadawi, I., & Soto, R. (2016). Resource rents, political institutions and economic growth. Understanding and Avoiding the Oil Curse in Resource-Rich Arab Economies, 187-224.

Faheem, M., Mohamed, A., Farooq, F., & Ali, S. (2019). Do Migrant Remittances Spur Financial Development in Pakistan? evidence From Linear and Nonlinear Ardl Approach. Review of Economics and Development Studies, 5(4), 869-880.

Gencay, R., Selcuk, Whitcher, B., 2002. An Introduction to Wavelets and Other Filtering Methods in Finance and Economics. Academic Press, San Diego, CA.

Guan, J., Kirikkaleli, D., Bibi, A., & Zhang, W. (2020). Natural resources rents nexus with financial development in the presence of globalization: Is the “resource curse” exist or myth?. Resources Policy, 66, 101641.

Ghirmay, T. (2004). Financial development and economic growth in Sub?Saharan African countries: evidence from time series analysis. African Development Review, 16(3), 415- 432.

Hooshmand, M., SM, S. A. H., & Rajabzadeh Moghani, N. (2013). Oil rents, institutions and financial development: Case study of selected oil exporting countries. Research Journal of Recent Sciences ISSN, 2277, 2502.

Islamic Financial Services Board. (2016). Islamic financial services industry stability report 2016. Retrieved from 20Stability%20Report%202016%20(final).pdf.

Khan, Z., Hussain, M., Shahbaz, M., Yang, S., & Jiao, Z. (2020). Natural resource abundance, technological innovation, and human capital nexus with financial development: a case study of China. Resources Policy, 65, 101585.

Koenker, R., Bassett, G., 1978. Regression quantiles. Econometrica 46 (1), 33–50.

Ma, L., & Koenker, R. (2006). Quantile regression methods for recursive structural equation models. Journal of Econometrics, 134(2), 471-506.

Mishra, S., Sharif, A., Khuntia, S., Meo, S. A., & Khan, S. A. R. (2019). Does oil prices impede Islamic stock indices? Fresh insights from wavelet-based quantile-on-quantile approach. Resources Policy, 62, 292-304.

Mlachila, M., & Ouedraogo, R. (2019). Financial development curse in resource-rich countries: The role of commodity price shocks. The Quarterly Review of Economics and Finance.

Nawaz, K., Lahiani, A., & Roubaud, D. (2019). Natural resources as blessings and finance- growth nexus: A bootstrap ARDL approach in an emerging economy. Resources Policy, 60, 277-287.

Niknamian, S. (2019). Resource–economic growth nexus, role of governance, financial development, globalisation and war: dynamic approach. Financial Development, Globalisation and War: Dynamic Approach (January 1, 2019).

Omri, A., Daly, S., Rault, C., & Chaibi, A. (2015). Financial development, environmental quality, trade and economic growth: What causes what in MENA countries. Energy Economics, 48, 242-252.

Percival, D. P. (1995). On estimation of the wavelet variance. Biometrika, 82(3), 619-631.

Percival, D.B., Walden, A.T., 2000. Wavelet Methods for Time Series Analysis. Cambridge University Press, Cambridge, UK.

Perron P (1990) Testing for a unit root in a time series with a changing mean. J Bus Econ Stat 8(2):153–162

Rajan, R. G., & Zingales, L. (2003). The great reversals: the politics of financial development in the twentieth century. Journal of financial economics, 69(1), 5-50.

Ramsey, J. B. (1999). The contribution of wavelets to the analysis of economic and financial data. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 357(1760), 2593-2606.

Ramsey, J.B., 2002. Wavelets in economics and finance: past and future. Stud. Nonlinear Dynam. Econom. 6 (3), 1– 29.

Sachs, J. D., & Warner, A. M. (1995). Natural resource abundance and economic growth (No. w5398). National Bureau of Economic Research.

Sachs, J. D., & Warner, A. M. (2001). The curse of natural resources. European economic review, 45(4-6), 827-838.

SAMA, 2018. Yearly Statistics 2018. Saudi Arabian Monetary Authority, Saudi Arabia.

Samargandi, N., Fidrmuc, J., & Ghosh, S. (2014). Financial development and economic growth in an oil-rich economy: The case of Saudi Arabia. Economic Modelling, 43, 267-278.

Shahbaz, M., Naeem, M., Ahad, M., & Tahir, I. (2018). Is natural resource abundance a stimulus for financial development in the USA?. Resources Policy, 55, 223-232.

Shahbaz, M., Zakaria, M., Shahzad, S. J. H., & Mahalik, M. K. (2018). The energy consumption and economic growth nexus in top ten energy-consuming countries: Fresh evidence from using the quantile-on- quantile approach. Energy Economics, 71, 282-301.

Shahbaz, M., Destek, M. A., Okumus, I., & Sinha, A. (2019). An empirical note on comparison between resource abundance and resource dependence in resource abundant countries. Resources Policy, 60, 47-55.

Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In Festschrift in honor of Peter Schmidt (pp. 281-314). Springer, New York, NY.

Sim, N., & Zhou, H. (2015). Oil prices, US stock return, and the dependence between their quantiles. Journal of Banking & Finance, 55, 1-8.

Song, C. Q., Chang, C. P., & Gong, Q. (2020). Economic growth, corruption, and financial development: Global evidence. Economic Modelling.

Sun, Y., Ak, A., Serener, B., & Xiong, D. (2020). Natural resource abundance and financial development: A case study of emerging seven (E? 7) economies. Resources Policy, 67, 101660.

Van der Ploeg, R., & Venables, T. (2009). Symposium on resource rich economies Introduction. Oxford Economic Papers, 61(4), 625-627.

Yuxiang, K., & Chen, Z. (2011). Resource abundance and financial development: Evidence from China. Resources Policy, 36(1), 72-79.

Zaidi, S. A. H., Wei, Z., Gedikli, A., Zafar, M. W., Hou, F., & Iftikhar, Y. (2019). The impact of globalization, natural resources abundance, and human capital on financial development: Evidence from thirty-one OECD countries. Resources Policy, 64, 101476.

Zhang, Q., & Brouwer, R. (2020). Is China affected by the resource curse? A critical review of the Chinese literature. Journal of Policy Modeling, 42(1), 133-152.

Zoega, G., Gylfason, T., 2001. Natural Resources And Economic Growth: the Role Of Investment (No. 2743). CEPR Discussion Paper.




How to Cite

Chaudhry , I. S., Faheem, M., Farooq, F. ., & Ali, S. . (2021). Financial Development and Natural Resources Dynamics in Saudi Arabia: Visiting ‘Resource Curse Hypothesis’ by NARDL and Wavelet-Based Quantile-on-Quantile Approach . Review of Economics and Development Studies, 7(1), 101-117.

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