Impact of Oil Price Volatility on Oil Importing and Exporting Countries: A Case of Asian Countries
DOI:
https://doi.org/10.63544/jbii.v5i8.152Keywords:
Oil Price Instability, Variance Decomposition, Granger Causality Test, Vector Error Correction Model, Macroeconomic variables, Impulse Response, Vector auto regression model (VAR)Abstract
The study meticulously examined oil price volatility across 16 Asian countries using a VAR model, analyzing data sourced from the World Bank spanning 1980 to 2020. Notably, the dataset exhibited non-normal distribution, showcasing varied skewness in variables and indicating stationarity in specific factors for both oil exporting and importing nations. An optimal lag of 2 was determined for both groups, affirming the existence of long-term relationships. Macroeconomic variables such as investment, Consumer Price Index (CPI), and exchange rates manifested divergent impacts on oil volatility, showcasing distinctive effects within each country. For instance, in oil exporting countries, these factors demonstrated a positive and statistically significant influence, whereas in oil importing countries, CPI and exchange rates portrayed a negative correlation. The comprehensive analysis revealed consistent patterns across the studied periods, showcasing significant and predominantly positive effects on oil volatility across various timeframes and country types. This robust finding emphasizes the substantial influence of independent macroeconomic variables on oil volatility within a 40-year period. These insights underscore the complexities and variations in the relationship between macroeconomic factors and oil price fluctuations within the Asian context.
References
Abdulghaffar, M., Al-Ubaydli, O., & Mahmood, O. (2013). The malfunctioning of the Gulf Cooperation Council single market: Features, causes and remedies. Middle Eastern Finance and Economics, 19, 54–67.
Adkins, L. C., Campbell, R. C., Chmelarova, V., & Hill, R. C. (2012). The Hausman test, and some alternatives, with heteroskedastic data. In Advances in econometrics (Vol. 29, pp. 515–546). Emerald Group Publishing Limited.
Alekhina, V., & Yoshino, N. (2018). Effects of oil price fluctuations on an energy-exporting economy (ADBI Working Paper No. 828). Asian Development Bank Institute.
Alley, I. (2016). Oil price volatility and fiscal policies in oil-exporting countries. OPEC Energy Review, 40(2), 192–211. https://doi.org/10.1111/opec.12075
Anand, B., Paul, S., & Ramachandran, M. (2014). Volatility spillover between oil and stock market returns. Indian Economic Review, 49(1), 37–56.
Anghelache, C. (2011). Analysis of the correlation between GDP and the final consumption. Theoretical and Applied Economics, 18(9), 129–138.
Asan, H. (2000). Investigation of wall's optimum insulation position from maximum time lag and minimum decrement factor point of view. Energy and Buildings, 32(2), 197–203. https://doi.org/10.1016/S0378-7788(00)00050-9
Azhgaliyeva, D. (2014). The effect of fiscal policy on oil revenue fund: The case of Kazakhstan. Journal of Eurasian Studies, 5(2), 157–183. https://doi.org/10.1016/j.euras.2014.03.003
Baruník, J., Kočenda, E., & Vácha, L. (2015). Volatility spillovers across petroleum markets. The Energy Journal, 36(3), 309–329. https://doi.org/10.5547/01956574.36.3.11
Basnet, H. C., & Upadhyaya, K. P. (2015). Impact of oil price shocks on output, inflation and the real exchange rate: Evidence from selected ASEAN countries. Applied Economics, 47(29), 3078–3091. https://doi.org/10.1080/00036846.2015.1011322
Chang, B.-H., Sharif, A., Aman, A., Suki, N. M., Salman, A., & Khan, S. A. R. (2020). The asymmetric effects of oil price on sectoral Islamic stocks: New evidence from quantile-on-quantile regression approach. Resources Policy, 65, 101571. https://doi.org/10.1016/j.resourpol.2019.101571
Chen, J., Jin, F., Ouyang, G., Ouyang, J., & Wen, F. (2019). Oil price shocks, economic policy uncertainty and industrial economic growth in China. PLOS ONE, 14(5), Article e0216930. https://doi.org/10.1371/journal.pone.0216930
Choi, I. (2001). Unit root tests for panel data. Journal of International Money and Finance, 20(2), 249–272. https://doi.org/10.1016/S0261-5606(00)00048-6
Claerbout, J. F. (2019). Data fitting with nonstationary statistics. Stanford University.
Cong, R.-G., Wei, Y.-M., Jiao, J.-L., & Fan, Y. (2008). Relationships between oil price shocks and stock market: An empirical analysis from China. Energy Policy, 36(9), 3544–3553. https://doi.org/10.1016/j.enpol.2008.06.006
Corner, P. D. (2002). An integrative model for teaching quantitative research design. Journal of Management Education, 26(6), 671–692. https://doi.org/10.1177/1052562902238323
Cunado, J., Jo, S., & Pérez de Gracia, F. (2015). Macroeconomic impacts of oil price shocks in Asian economies. Energy Policy, 86, 867–879. https://doi.org/10.1016/j.enpol.2015.08.048
Dai, Z., Zhou, H., Dong, X., & Kang, J. (2020). Forecasting stock market volatility: A combination approach. Discrete Dynamics in Nature and Society, 2020, Article 3084927. https://doi.org/10.1155/2020/3084927
Díaz, E. M., Molero, J. C., & Pérez de Gracia, F. (2016). Oil price volatility and stock returns in the G7 economies. Energy Economics, 54, 417–430. https://doi.org/10.1016/j.eneco.2016.01.002
Diewert, W. E. (2001). The consumer price index and index number purpose. Journal of Economic and Social Measurement, 27(3–4), 167–248. https://doi.org/10.3233/JEM-2002-0187
Feldman, M., Hadjimichael, T., & Lanahan, L. (2016). The logic of economic development: A definition and model for investment. Environment and Planning C: Government and Policy, 34(1), 5–21. https://doi.org/10.1177/0263774X15614653
Gershon, O., Ezenwa, N. E., & Osabohien, R. (2019). Implications of oil price shocks on net oil-importing African countries. Heliyon, 5(8), Article e02208. https://doi.org/10.1016/j.heliyon.2019.e02208
Guesmi, K., & Fattoum, S. (2014). Return and volatility transmission between oil prices and oil-exporting and oil-importing countries. Economic Modelling, 38, 305–310. https://doi.org/10.1016/j.econmod.2014.01.022
Guo, H., & Kliesen, K. L. (2005). Oil price volatility and U.S. macroeconomic activity. Federal Reserve Bank of St. Louis Review, 87(6), 669–683. https://doi.org/10.20955/r.87.669-684
Hameed, D. I. (2012). Impact of monetary policy on gross domestic product (GDP). SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2164451
Hubert, M., & Vandervieren, E. (2008). An adjusted boxplot for skewed distributions. Computational Statistics & Data Analysis, 52(12), 5186–5201. https://doi.org/10.1016/j.csda.2007.11.008
Kang, X., & Deng, X. (2020). An improved modified Cholesky decomposition approach for precision matrix estimation. Journal of Statistical Computation and Simulation, 90(3), 443–464. https://doi.org/10.1080/00949655.2019.1693081
Keat, R. (1979). Positivism and statistics in social science. In R. Keat & J. Urry (Eds.), Social theory as science (pp. 75–86). Routledge & Kegan Paul.
Kiani, A. (2011). Impact of high oil prices on Pakistan's economic growth. International Journal of Business and Social Science, 2(17), 209–216.
Kurihara, Y. (2015). Oil prices and economic growth in developed countries. International Journal of Business and Social Science, 6(11), 40–46.
Lambert, V. A., & Lambert, C. E. (2013). Qualitative descriptive research: An acceptable design. Pacific Rim International Journal of Nursing Research, 16(4), 255–256.
Levy-Yeyati, E., & Sturzenegger, F. (2016). Classifying exchange rate regimes: 15 years later. European Economic Review, 93, 166–184.
Liu, C., Sun, X., Chen, J., & Li, J. (2016). Statistical properties of country risk ratings under oil price volatility: Evidence from selected oil-exporting countries. Energy Policy, 92, 234–245. https://doi.org/10.1016/j.enpol.2016.02.018
Manna, Z., & Waldinger, R. (1980). A deductive approach to program synthesis. ACM Transactions on Programming Languages and Systems, 2(1), 90–121. https://doi.org/10.1145/357084.357090
McCusker, K., & Gunaydin, S. (2015). Research using qualitative, quantitative or mixed methods and choice based on the research. Perfusion, 30(7), 537–542. https://doi.org/10.1177/0267659114559116
Mirmirani, S., & Cheng, H. (2004). A comparison of VAR and neural networks with genetic algorithm in forecasting price of oil. Advances in Econometrics, 19, 203–223. https://doi.org/10.1016/S0731-9053(04)19008-4
Nazir, S., & Qayyum, A. (2014). Impact of oil price and shocks on economic growth of Pakistan: Multivariate analysis (MPRA Paper No. 55929). Munich Personal RePEc Archive.
Noor, M. H., & Dutta, A. (2017). On the relationship between oil and equity markets: Evidence from South Asia. International Journal of Managerial Finance, 13(3), 287–303. https://doi.org/10.1108/IJMF-09-2016-0171
Oberndorfer, U. (2009). Energy prices, volatility, and the stock market: Evidence from the Eurozone. Energy Policy, 37(12), 5787–5795. https://doi.org/10.1016/j.enpol.2009.08.043
Ojeaga, P., Odejimi, D., George, E., & Azuh, D. (2014). Energy and economic growth, is there a connection? Energy supply threats revisited. Open Journal of Energy Efficiency, 3(3), 64–76. https://doi.org/10.4236/ojee.2014.33007
Omojolaibi, J. A., & Egwaikhide, F. O. (2014). Oil price volatility, fiscal policy and economic growth: A panel vector autoregressive (PVAR) analysis of some selected oil-exporting African countries. OPEC Energy Review, 38(2), 127–148. https://doi.org/10.1111/opec.12023
Pan, Z., Wang, Y., Wu, C., & Yin, L. (2017). Oil price volatility and macroeconomic fundamentals: A regime switching GARCH-MIDAS model. Journal of Empirical Finance, 43, 130–148. https://doi.org/10.1016/j.jempfin.2017.06.005
Salim, R. (2011). The impact of crude oil price volatility on selected Asian emerging economies. In Proceedings of the Global Business and Social Science Research Conference (pp. 1–33).
Sarkar, J., & Rashid, M. (2020). Shutter plot: A visual display of summary statistics over a scatter plot. Statistical Modelling, 20(2), 99–116.
Schmalensee, R., & Joskow, P. L. (1986). Estimated parameters as independent variables. Journal of Econometrics, 31(3), 275–305. https://doi.org/10.1016/0304-4076(86)90015-8
Sharif, A., Aloui, C., & Yarovaya, L. (2020). COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach. International Review of Financial Analysis, 70, Article 101496. https://doi.org/10.1016/j.irfa.2020.101496
Shrestha, P. K. (2014). Economic development in South and East Asia: Empirical examination of East Asian development model. Asia-Pacific Development Journal, 20(2), 1–28. https://doi.org/10.18356/4b5d9a38-en
Sutton, J., & Austin, Z. (2015). Qualitative research: Data collection, analysis, and management. Canadian Journal of Hospital Pharmacy, 68(3), 226–231. https://doi.org/10.4212/cjhp.v68i3.1456
Swift, A., Liu, L., & Uber, J. (2008). Reducing MAUP bias of correlation statistics between water quality and gastrointestinal illness. Computers, Environment and Urban Systems, 32(2), 134–148. https://doi.org/10.1016/j.compenvurbsys.2007.09.003
Taghizadeh-Hesary, F., & Yoshino, N. (2015). Macroeconomic effects of oil price fluctuations on emerging and developed economies in a model incorporating monetary variables. Economics and Policy of Energy and the Environment, 2015(2), 51–75. https://doi.org/10.3280/EFE2015-002004
Tiwari, A. K., Arouri, M., & Teulon, F. (2014). Oil prices and trade balance: A frequency domain analysis for India. Economics Bulletin, 34(2), 663–680.
Wang, D. (2018). Spectral L2/L1 norm: A new perspective for spectral kurtosis for characterizing non-stationary signals. Mechanical Systems and Signal Processing, 104, 290–293. https://doi.org/10.1016/j.ymssp.2017.10.028
Wang, S., Hu, A., & Wu, Z. (2012). The impact of oil price volatility on China's economy: An empirical investigation based on VAR model. Advanced Materials Research, 524–527, 3211–3215. https://doi.org/10.4028/www.scientific.net/AMR.524-527.3211
Yang, Y., Li, J., Sun, X., & Chen, J. (2014). Measuring external oil supply risk: A modified diversification index with country risk and potential oil exports. Energy, 68, 930–938. https://doi.org/10.1016/j.energy.2014.01.045
Zahran, M. S. A. (2019). The response of remittances inflows to asymmetric oil price shocks in Egypt. Review of Economics and Political Science. Advance online publication. https://doi.org/10.1108/REPS-01-2019-0009
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