Dynamics of oil price shocks in Latin American stock markets during global turbulence: A nonlinear autoregressive distributed lag analysis
-
DOIhttp://dx.doi.org/10.21511/imfi.20(4).2023.28
-
Article InfoVolume 20 2023, Issue #4, pp. 350-359
- Cited by
- 221 Views
-
49 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
This paper investigates the impacts of oil price shocks on the stock markets of six Latin American countries – Argentina, Brazil, Chile, Colombia, Mexico, and Peru – by employing a Nonlinear Autoregressive Distributed Lag (NARDL) approach. This is during periods of global turbulence triggered by the COVID-19 pandemic and Russia’s war in Ukraine. The study used data gathered from January 2020 to July 2023, daily stock prices of the six countries, and West Texas Intermediate (WTI) as a proxy of the oil price index. The analysis revealed that the complex relationship between oil price shocks and stock markets in Latin America has changed significantly since the start of the pandemic and the Russian-Ukrainian War. The findings indicate that the relationship between oil price changes and stock markets is not a straightforward linear correlation, but rather is more complex, with non-linear and counteracting effects, likely due to the uncertainty created by the pandemic and the Russian-Ukrainian War, which has caused investors to be more cautious when responding to oil price shocks.
- Keywords
-
JEL Classification (Paper profile tab)N26, C33, Q42
-
References35
-
Tables2
-
Figures0
-
- Table 1. ADF and PP unit root tests
- Table 2. NARDL test
-
- Acaravcı, A., Kandır, S. Y., & Ozturk, I. (2012). Natural gas prices and stock prices: Evidence from EU-15 countries. Economic Modelling, 29(5), 1646-1654.
- AL-Mohamad, S. Jreisat, A. Sraieb, M. Khaki, A. R., & Raza Rabbani, M. (2022). The Impact of Oil Price Changes on the Stock Markets in Main Oil Exporting Countries: The Role of COVID-19. International Conference on Decision Aid Sciences and Applications (DASA) (pp. 1168-1172). Chiangrai, Thailand.
- Al-Mohamad, S., Rashid, A., Walid Bakry, Jreisat, A., & Xuan Vinh Vo (2020). The impact of BRICS formation on portfolio diversification: Empirical evidence from pre- and post-formation eras. Cogent Economics & Finance, 8, 1.
- Angeliki, N. M., & Ozturk, I. (2016). Renewable energy, rents and GDP growth in MENA countries, energy sources. Part B. Economics, Planning, and Policy, 11(9), 824-829.
- Cuñado, J., & Pérez de Gracía, F. (2000). Do Oil Price Shocks Matter? Evidence from Some European Countries (Working Paper). University of Navarra.
- Dickey, D., & Fuller, W. (1979). Distribution of the Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association, 74, 427-431.
- Dotsey, M., & Reid, M. (1992). Oil shocks, monetary policy, and economic activity. Economic Review of the Federal Reserve Bank of Richmond, 78(4), 14-27.
- Filis, G., Degiannakis, S., & Floros, C. (2011). Dynamic correlation between stock market and oil prices: The case of oil-importing and oil-exporting countries. International Review of Financial Analysis, 20(23), 152-164.
- Friedman, M. (2005). A natural experiment in monetary policy covering three episodes of growth and decline in the economy and the stock market. Journal of Economic Perspectives, 19(4), 145-150.
- Gencer, H. G., & Demiralay, S. (2014). Shock and volatility spillovers between oil prices and Turkish sector returns. International Journal of Economics and Finance, 6(2), 174-180.
- Hernández-Gamarra, K., Sarmiento-Sabogal, J., & Cayon-Fallon, E. (2015). A test of the market efficiency of the integrated Latin American market (MILA) index in relation to changes in the price of oil. International Journal of Energy Economics and Policy, 5(2), 534-539.
- Hamilton, J. D. (2003). What is an oil shock? Journal of Econometrics, 113(2), 363-398.
- Huang, R. D., Masulis, R. W., & Stoll, H. R. (1996). Energy shocks and financial markets. Journal of Futures Markets, 16(1), 1-27.
- Jones, C. M., & Kaul, G. (1996). Oil and the stock market. Journal of Finance, 51(2), 463-491.
- Kilian, L. (2009). Not all oil price shocks are alike: Disentangling demand and supply shocks in the crude oil market. American Economic Review, 99(3), 1053-1069.
- Kilian, L., & Park, C. (2009). The impact of oil price shocks on the U.S. stock market. International Economic Review, 50(4), 1267-1287.
- Mroua, M., & Bouattour, H. (2023). Connectedness among various financial markets classes under Covid-19 pandemic and 2022 Russo-Ukrainian war: evidence from TVP-VAR approach. Journal of Financial Economic Policy, 15(2), 140-163.
- Okhrin, Y., Salah Uddin, G., & Yahya, M. (2023). Nonlinear and asymmetric interconnectedness of crude oil with financial and commodity markets. Energy Economics, 125.
- Ozturk, I., & Feridun, M. (2010). Impact of Oil Prices on Inflation in Oil- Importing Countries: The Case of Turkey. Economic Computation and Economic Cybernetics Studies and Research, 2.
- Papapetrou, E. (2001). Oil price shocks, stock market, economic activity and employment in Greece. Energy Economics, 23(5), 511-532.
- Phillips, P. C. B. (1987). Time Series Regression with a Unit Root. Econometrica, 55, 227-301.
- Phillips, P. C. B., & Perron, P. (1988). Testing for Unit Roots in Time Series Regression. Biometrika, 75, 335-346.
- Santillán-Salgado, R., Calderan-Villarreal, C., & Venegas-Martanez, F. (2017). Impact of Oil Prices on Stock Markets in Major Latin American Countries (2000-2015). International Journal of Energy Economics and Policy, 7(4), 205-215.
- Serkan, Y. K., Ozturk, I., & Acaravcı, A. (2013). Causality between natural gas prices and stock market returns in Turkey. Economia Politica, 2, 203-220.
- Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In R. Sickles & W. Horrace (Eds.), Festschrift in Honor of Peter Schmidt (pp. 281-314). New York: Springer.
- Si Mohammed, K., Tedeschi, M., Mallek, S., Tarczyńska-Łuniewska, M., & Zhang, A. (2023) Realized semi variance quantile connectedness between oil prices and stock market: Spillover from Russian-Ukraine clash. Resources Policy, 85(A), 1-12.
- Sohag, K., Kalina, I., & Elsayed, A. H. (2023). Financial stress in Russia: Exploring the impact of oil market shocks. Resources Policy, 86(B), 1-11.
- Solano-Rodríguez, B., Pye, S., Li, P. H., Ekins, P., Manzano, O., & Vogt-Schilb, A. (2021). Implications of climate targets on oil production and fiscal revenues in Latin America and the Caribbean. Energy and Climate Change, 2, 100037.
- Solarin, S. A., Al-Mulali, U., & Ozturk, I. (2016). Biofuel energy consumption-economic growth relationship: An empirical investigation of Brazil. Biofuels, Bioproducts and Biorefining, 10(6), 753-775.
- Sraieb, S., Jreisat, A., Raza Rabbani, M., Al-Mohamad, S., El-Kanj, N., & Rashid Khaki, A. (2022). Oil prices and the stock market: How COVID-19 impacts oil-importing countries? International Conference on Decision Aid Sciences and Applications (DASA) (pp. 1173-1177). Chiangrai, Thailand.
- Stallings, B. (2018). Banker to the Third World: US portfolio investment in Latin America, 1900-1986 (Vol. 18). University of California Press.
- Valdés, A. L., Durán, V. R., & Armenta, F. L. (2012). Conditional correlation between oil and stock market returns: The case of Mexico. Revista Mexicana de Economía y Finanzas, 7(1), 49-63.
- Van Eyden, R., Difeto, M., Gupta, R., & Wohar, M. E. (2019). Oil price volatility and economic growth: Evidence from advanced economies using more than a century’s data. Applied Energy, 233, 612-621.
- Vasquez, P. I. (2019). China’s oil and gas footprint in Latin America and Africa. International Development Policy| Revue internationale de politique de développement, 11.1.
- Xiao J., Zhou M., Wen F., & Wen F. (2018). Asymmetric impacts of oil price uncertainty on Chinese stock returns under different market conditions: Evidence from oil volatility index. Energy Economics, 74, 777-786.