New Insights into the US Stock Market Reactions to Energy Price Shocks

BENKRAIEM, Ramzi and Lahiani, Amine and MILOUDI, Anthony and Shahbaz, Muhammad (2018): New Insights into the US Stock Market Reactions to Energy Price Shocks.

Abstract

This paper investigates the relationship between S&P 500 prices, viewed as a US economic barometer, and a set of energy prices, including WTI, gasoline, heating, diesel and natural gas prices, using the Quantile Autoregressive Distributed Lags (QARDL) model recently developed by Cho et al. (2015). The empirical results show a negative long-and short-run relationship between WTI crude oil and Henry Hub natural gas prices on the one side and S&P 500 stock prices on the other side, only for medium and high quantiles. The findings of Wald tests indicate a nonlinear and asymmetric pass-through from energy price shocks to aggregate US stock market prices. These results show that crude oil and natural gas are key economic variables to explain short run and long run stock market dynamics. They provide further insights into how energy price shocks are transmitted to stock market prices.

• Item Type: MPRA Paper
• Language: English
• Keywords: Energy Price Shocks, Stock Market Prices, Quantile ARDL, Cointegration
• Subjects: A - General Economics and Teaching > A1 - General Economics > A10 - General

References

Acaravci, A., Ozturk, I. and Kanadir, S. K. (2012). Natural gas prices and stock prices: Evidence from EU-15 countries. Economic Modelling, 29, 1646-1654.

Alsalman, Z. and Herrara, A. M. (2015). Oil price shocks and the US stock market: do sign and size matter? The Energy Journal, 36, 171-188.

Anton, M. K. (1989). Oil and the macroeconomy when prices go up and down: an extension of Hamilton’s results. Journal of Political Economics, 97, 740-744.

Apergis, N. and Miller, S. M. (2009). Do structural oil-market shocks affect stock prices? Energy Economics, 31, 569–575.

Bachmeier, L. J.and Griffin, J. M. (2006). Testing for market integration crude oil, coal, and natural gas. Energy Journal, 27, 55-71.

Baghestani, H. (2016). Do gasoline prices asymmetrically affect US consumers’ economic outlook? Energy Economics, 55, 247-252.

Balke, N. S., Brown, S. P. A. and Yücel, M. K. (2002). Oil prices shock and the US economy: where does the asymmetry originate? Energy Journal, 23, 27-52.

Basher, S.A., Haug, A. A. and Sadorsky, P. (2012). Oil prices, exchange rates and emerging stock markets. Energy Economics, 34, 227–240.

Blendon, R. and Bensen, J. (2008). Americans worry: how they view their lives in an economic downturn? Challenge, 51, 5-26.

Boldanov, R., Degiannakis, S. and Filis, G. (2016). Time-varying correlation between oil and stock market volatilities: evidence from oil-importing and oil-exporting countries. International Review of Finance Analysis, 48, 209-220.

Broadstock, D. C., Fan, Y., Ji, Q. and Zhang, D. (2016). Shocks and stocks: a bottom-up assessment of the relationship between oil prices, gasoline prices and the returns of Chinese firms. The Energy Journal, 37, 55-86.

Ciner, C. (2001). Energy shocks and financial markets: nonlinear linkages. Studies in Nonlinear Dynamics and Economics, 5, 203–212.

Cho, J.S., Kim, T.-H. and Shin, Y. (2015). Quantile cointegration in the autoregressive distributed-lag modeling framework. Journal of Econometrics, 188, 281–300.

Cunado, J. and Perez de Gracia, F. (2014). Oil price shocks and stock market returns: evidence for some European countries. Energy Economics, 42, 365–377.

Fayadd, A. and Daly, K. (2011). The impact of oil price shocks on stock market returns: Comparing GCC countries with the UK and USA. Emerging Market Review, 12, 61-78.

Ferderer, J. P. (1996). Oil price volatility and the macroeconomy: a solution to the asymmetry puzzle. Journal of Macroeconomics, 18, 1-16.

Gronwald, M. (2008). Large oil shocks and the US economy: infrequent incidents with large effects. The Energy Journal, 29, 151-171.

Gubler, M. and Hertweck, M. S. (2013). Commodity price shocks and the business cycle: Structural evidence for the US. Journal of International Money and Finance, 37, 324-352.

Güntner, J. H. F. (2014). How do international stock markets respond to oil demand and supply shocks? Macroeconomic Dynamics, 18, 1657-1682.

Guo, J., Zheng, X. and Chen, Z-M. (2016). How does coal price drive up inflation? Reexamining the relationship between coal price and general price level in China. Energy Economics, 57, 265-276.

Hamilton, J. D. (1983). Oil and the macroeconomy since World War II. Journal of Political Economy, 91, 228–248.

Hamilton, J. D. (1988). A neoclassical model of unemployment and the business cycle. Journal of Political Economy, 96, 593-617.

Hamilton J. D. and Herrera A. M. (2004). Oil shocks and aggregate macroeconomic behavior: The role of monetary policy. Journal of Money, Credit and Banking, 36, 265-286.

Hansen, B. E. (2001). The new econometrics of structural change: dating breaks in U.S labor productivity. Journal of Economic Perspectives, 15, 117-128.

Huang, R. D., Masulis, R.W. and Stoll, H. R. (1996). Energy shocks and financial markets. Journal Future Markets, 16, 1–27.

Huntington, H. G. (1998). Crude oil prices and U.S. economic performance: Where does the asymmetry reside? The Energy Journal, 19(4), 107-132.

Jones, C. M. and Kaul, G. (1996).Oil and the stock markets. Journal of Finance, 51, 463–491.

Kang, W., Ratti, R. A. and Vespignani, J. (2016). The impact of oil price shocks one the US stock market: A note on the roles of U.S. and non-U.S. oil production. Economics Letters, 145, 176-181.

Kilian, L. (2016). The impact of the Shale oil Revolution on US oil and gasoline prices. Manuscript. University of Michigan. CEPR.

Kilian, L. (2008). The economic effects of energy price shock. Journal of Economic Literature, 46, 871-909.

Kilian, L. and Park, C. (2009). The impact of oil price shocks on the U.S. stock market. International Economic Review, 50, 1267-1287.

Kilian, L. and Vigfusson, R. J. (2011). Are the responses of the U.S. economy asymmetric in energy price increases and decreases? Quantitative Economics, 2, 419-453.

Kilian, L. and Vigfusson, R. J. (2014). The role of oil price shocks in causing US recessions. CEPR discussion paper N. DP10040. https://ssrn.com/abstract=2501512

Kim, T. and White, H. (2003). Estimation, inference, and specification testing for possibly misspecified quantile regression. In: Fomby, T., Hill, R. (Eds.), Maximum Likelihood Estimation of Misspecified Models: Twenty Years Later, vol. 17. Elsevier, New Yok, pp. 107–132.

Lahiani, A., Miloudi, A., Benkraiem, R and Shahbaz, M. (2017). Another look on the relationships between oil prices and energy prices. Energy Policy, 102, 318-331.

Lardic, S. and Mignon, V. (2006). The impact of oil prices on GDP in European countries: An empirical investigation based on asymmetric cointegration. Energy Policy, 34, 3910-3915.

Lee, B.J., Yang, C.W. and Huang, B. N. (2012). Oil price movements and stock markets revisited: A case of sector stock price indexes in the G-7 countries. Energy Economics, 34, 1284–1300.

Lee, C. C. and Zeng, J. H. (2011). The impact of oil price shocks on stock market activities: asymmetric effect with quantile regression. Mathematical and Computational Simulation, 81, 1910–1920.

Masih, R., Peters, S. and Mello, L. (2011). Oil price volatility and stock price fluctuations in an emerging market: evidence from South Korea. Energy Economics, 33, 975–986.

Melichar, M. (2016). Energy price shocks and economic activity: which energy price series should we be using? Energy Economics, 54, 431–443

Miller, J. I. and Ratti, R. A. (2009). Crude oil and stock markets: stability, instability and bubbles. Energy Economics, 31, 559–568.

Narayan, P. K. and Popp, S. (2010). A new unit root test with two structural breaks in level and slope at unknown time. Journal of Applied Statistics, 37, 1425-1438.

Oladosu, G. (2009). Identifying the oil price-macroeconomy relationship: An empirical mode decomposition analysis of US data. Energy Policy, 37, 5417-5426.

Pan, Z., Wang, Y. and Liu, L. (2016). The relationships between petroleum and stock returns: an asymmetric equi-correlation approach. Energy Economics, 56, 453-463.

Park, J. and Ratti, R. A. (2008). Oil price shocks and stock markets in the US and 13 European countries. Energy Economics, 30, 2587–2608.

Raza, N., Shahzad, S. J. H., Tiwari, A. K. and Shahbaz, M. (2016). Asymmetric impact of gold, oil prices and their volatilities on stock prices of emerging markets. Resources Policy, 49, 290-301.

Sadorsky, P. (1999). Oil price shocks and stock market activity. Energy Economics, 21, 449–469.

Salisu, A. A. and Oloko, T. F. (2015). Modeling oil price-US stock nexus: A VARMA-BEKK-AGARCH approach. Energy Economics, 50, 1-12.

Shetty, S., Iqbal, Z. and Alshamali, M. (2013). Energy price shocks and economic activity in Texas cities. Atlantic Economic Journal, 41, 371-383.

Sukcharoen, K., Zohrabyan, T., Leatham, D. and Wu, X. (2014). Interdependence of oil prices and stock market indices: A copula approach. Energy Economics, 44, 331–339.

Tatom, J. A. (1993). Are there useful lessons from the 1990-91 oil price shock? The Energy Journal, 14, 129-150.

Wang, X. and Zhang, C. (2014). The impacts of global oil prices hocks on China's fundamental industries. Energy Policy, 68, 394–402.

Wang, Y., Wu, C. and Li, Y. (2013).Oil price shock and stock market activities: Evidence from oil-importing and oil-exporting countries. Journal of Comparative Economics, 41, 1220-1239.

Wang, Y. and Liu, L. (2016). Crude oil and world stock markets: volatility spillovers, dynamic correlations and hedging. Empirical Economics, 50, 1481-1509.

Zhang, D. (2017). Oil shocks and stock markets revisited: measuring connectedness from a global perspective. Energy Economics, 62, 323-333.

Zhu, H., Guo, Y., You, W. and Xu, Y. (2016). The heterogeneity dependence between crude oil price changes and industry stock market returns in China: Evidence from a quantile regression approach. Energy Economics, 55, 30-41.

Zhu, H., Cheng, P. and You, W. (2016). Quantile Behaviour of cointegration between silver and gold prices. Finance Research Letters, 19, 119-125.