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JCSH

Journal of Contemporary Social Sciences and Humanities

ISSN 2985-0541 (Print)

ISSN 2985-055X (Online)

The Effects of Global Commodity Prices on ASEAN-5 Stock Markets

  • Kok-Pin Lim, Sunway Foundation Programme, Sunway University, Malaysia
  • Kim-Leng Goh, Faculty of Business and Economics, University of Malaya, Malaysia, Corresponding author, E-mail: klgoh@um.edu.my
  • Chin-Sieng Chong, Faculty of Business and Economics, University of Malaya, Malaysia

Abstract

The increasing participation of investors and financial institutions in the commodity markets to diversify their portfolios led to spillovers from the real to the financial sector. This paper examined the return and volatility spillovers from the world commodity markets to the returns of the ASEAN-5 stock market. The return spillovers from the commodity markets were closely linked to the production economy. Palm oil prices affected the stock market returns of Indonesia and Malaysia. The returns of the rice commodity market were found to affect the stock market of Thailand. However, no spillover effects from rubber were found. On non-agricultural commodities, fuel had the widest return spillover effects. The stock market of Thailand is particularly susceptible to price movements in the gold market. The volatility spillovers were less compared to the return spillovers. The rice market volatility had a negative impact on the stock exchange of Thailand. Gold market volatility was positively related to the stock market returns of Singapore, suggesting gold to be a commodity for hedging against stock market turmoil. However, the stock markets of Malaysia and the Philippines were insulated from these spillovers. Given the connectedness between the commodity and stock markets, any policy designed to advance the financial sector must take cognizance of the development in the world commodity markets. The dynamics between these markets should be considered by the investors for portfolio planning and diversification.

Keywords: Association of Southeast Asian Nations (ASEAN), Commodity market, Stock market, Spillover, Volatility

PDF (493.74 KB)

DOI: 10.14456/rjsh.2021.15

References

Afsal, E. M., & Haque, M. I. (2016). Market Interactions in Gold and Stock Markets: Evidences from Saudi Arabia. International Journal of Economics and Financial Issues, 6(3), 1025-1034.

Ahmed, W. M. A. (2017). On the dynamic interactions between energy and stock markets under structural shifts: Evidence from Egypt. Research in International Business and Finance, 42, 61-74.

Akkoc, U., & Civcir, I. (2019). Dynamic linkages between strategic commodities and stock market in Turkey: Evidence from SVAR-DCC-GARCH model. Resources Policy, 62, 231-239.

Antonakakis, N., Chatziantoniou, I., & Filis, G. (2017). Oil shocks and stock markets: Dynamic connectedness under the prism of recent geopolitical and economic unrest. International Review of Financial Analysis, 50, 1-26.

Arouri, M. E. H., Jouini, J., & Nguyen, D. K. (2011). Volatility spillovers between oil prices and stock sector returns: implications for portfolio management. Journal of International Money and Finance, 30(7), 1387-1405.

ASEAN. (2016). ASEAN Economic Community Chartbook. Retrived form http://asean.org/?static_post=external-trade-statistics-3

Baldi, L., Peri, M., & Vandone, D. (2016). Stock markets’ bubbles burst and volatility spillovers in agricultural commodity markets. Research in International Business and Finance, 38, 277-285.

Baur, D. G., & McDermott, T. K. (2010). Is gold a safe haven? International evidence. Journal of Banking & Finance, 34(8), 1886-1898.

Baru Gold Corp. (n. d.). Highlights of mining for gold in Indonesia. Reteived form https://barugold.com/projects/ indonesian-focus/

Bauwens, L., Laurent, S., & Rombouts, J. K. (2006). Multivariate GARCH models: A survey. Journal of Applied Econometrics, 21(1), 79-109.

Berger, T., & Uddin, G. S. (2016). On the dynamic dependence between equity markets, commodity futures and economic uncertainty indexes. Energy Economics, 56, 374-383.

Botoc, C. (2014). Does volatility respond asymmetric to past shocks?. Annales Universitatis Apulensis: Series Oeconomica, 16(2), 1-12.

Bouri, E., Awartani, B., & Maghyereh, A. (2016). Crude oil prices and sectoral stock returns in Jordan around the Arab uprisings of 2010. Energy Economics, 56, 205-214.

Broadstock, D. C., Cao, H., & Zhang, D. (2012). Oil shocks and their impact on energy related stocks in China. Energy Economics, 34(6), 1888-1895.

BullionStar. (n. d.). Thai gold market. Retrived form https://www.bullionstar.com/gold-university/thailand-gold-market

Caporin, M., & McAleer, M. (2013). Ten Things You Should Know about the Dynamic Conditional Correlation Representation. Econometrics, 1(1), 115-126.

Cashin, P., & McDermott, C. J. (2002). The long-run behavior of commodity prices: small trends and big variability. IMF staff Papers, 49(2), 175-199.

Chang, C. L., McAleer, M., & Tansuchat, R. (2011). Crude oil hedging strategies using dynamic multivariate GARCH. Energy Economics, 33(5), 912-923.

Chang, C. L., McAleer, M., & Tansuchat, R. (2013). Conditional correlations and volatility spillovers between crude oil and stock index returns. The North American Journal of Economics and Finance, 25, 116-138.

Chkili, W. (2016). Dynamic correlations and hedging effectiveness between gold and stock markets: Evidence for BRICS countries. Research in International Business and Finance, 38, 22-34.

Chkili, W., Hammoudeh, S., & Nguyen, D. K. (2014). Volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory. Energy Economics, 41, 1-18.

Do, G. Q., McAleer, M., & Sriboonchitta, S. (2009). Effects of international gold market on stock exchange volatility: evidence from ASEAN emerging stock markets. Economics Bulletin, 29(2), 599-610.

Dolatabadi, S., Nielsen, M. Ø., & Xu, K. (2016). A fractionally cointegrated VAR model with deterministic trends and application to commodity futures markets. Journal of Empirical Finance38, 623-639.

Dwyer, A., Gardner, G., & Williams, T. (2011). Global commodity markets–price volatility and financialisation. RBA Bulletin, June, 49-57.

Engle, R. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business & Economic Statistics20(3), 339-350.

Engle, R. F., & Kroner, K. F. (1995). Multivariate simultaneous generalized ARCH. Econometric theory, 11(1), 122-150.

Economic Research Institute for ASEAN and East Asia. (n. d.). Oil in Southeast Asia. Retrived form https://www.eria.org/uploads/media/10_ERIA_RPR_2017_04_Chapter_1.pdf

Fatima, T., & Bashir, A. (2014). Oil price and stock market fluctuations: Emerging markets (a comparative study of Pakistan and China). International Review of Management and Business Research, 3(4), 1958-1976.

Hammoudeh, S., Nguyen, D. K., Reboredo, J. C., & Wen, X. (2014). Dependence of stock and commodity futures markets in China: Implications for portfolio investment. Emerging Markets Review, 21, 183-200.

He, Y., Wang, S., & Lai, K. K. (2010). Global economic activity and crude oil prices: A cointegration analysis. Energy Economics, 32(4), 868-876.

Hegerty, S. W. (2016). Commodity-price volatility and macroeconomic spillovers: Evidence from nine emerging markets. The North American Journal of Economics and Finance, 35, 23-37.

Kang, S. H., McIver, R., & Yoon, S. M. (2016). Modeling time-varying correlations in volatility between BRICS and commodity markets, Emerging Markets Finance and Trade52(7), 1698-1723. 

Kang, S. H., Uddin, G. S., Troster, V., & Yoon, S. M. (2019). Directional spillover effects between ASEAN and world stock markets. Journal of Multinational Financial Management, 52, Article ID 100592.

Khalfaoui, R., Boutahar, M., & Boubaker, H. (2015). Analyzing volatility spillovers and hedging between oil and stock markets: Evidence from wavelet analysis. Energy Economics, 49, 540-549.

Kilian, L. (2008). The economic effects of energy price shocks. Journal of Economic Literature, 46(4), 871-909.

Kilian, L., & Park, C. (2009). The impact of oil price shocks on the US stock market. International Economic Review, 50(4), 1267-1287.

Lee, S. S.-P., & Goh, K.-L. (2016). Regional and international linkages of the ASEAN-5 stock markets: a multivariate GARCH approach. Asian Academy of Management Journal of Accounting & Finance, 12(1), 49-71.

Ling, S., & McAleer, M. (2003). Asymptotic theory for a vector ARMA-GARCH model. Econometric Theory, 19(2), 280-310.

Martín-Barragán, B., Ramos, S. B., & Veiga, H. (2015). Correlations between oil and stock markets: A wavelet-based approach. Economic Modelling, 50, 212-227.

Nguyen, C., Bhatti, M. I., Komorníková, M., & Komorník, J. (2016). Gold price and stock markets nexus under mixed-copulas. Economic Modelling, 58, 283-292.

Olson, E., Vivian, J. A., & Wohar, M. E. (2014). The relationship between energy and equity markets: Evidence from volatility impulse response functions. Energy Economics, 43, 297-305.

Olsson, D. (2007). Adding commodity futures to the Swedish stock portfolio, A good strategy for better diversification? (Master’s thesis). Lund University, Sweden.

Ordu-Akkaya, B. M., & Soytas, U. (2020). Does foreign portfolio investment strengthen stock-commodity markets connection?. Resources Policy, 65, Article ID 101536.

Öztek, M. F., & Öcal, N. (2017). Financial crises and the nature of correlation between commodity and stock markets. International Review of Economics and Finance, 48, 56-68.

Reboredo, J. C., & Ugolini, A. (2017). Quantile causality between gold commodity and gold stock prices. Resources Policy, 53, 56-63.

Ritchie, H. & Roser, M. (2021). Forests and deforestation. Retrived form https://ourworldindata.org/deforestation

Rodrik, D. (2000). How far will international economic integration go?. Journal of Economic Perspectives, 14(1), 177-186.

Salisu, A. A., Isah, K. O., & Assandri, A. (2019). Dynamic spillovers between stock and money markets in Nigeria: A VARMA-GARCH approach. Review of Economic Analysis, 11(2), 255-283.

Thomson Reuters. (n. d.). Thomson Reuters Datastream. Retrived form https://eikon.thomsonreuters.com/index.html

Vo, X. V., & Tran, T. T. A. (2020). Modelling volatility spillovers from the US equity market to ASEAN stock markets. Pacific-Basin Finance Journal, 59, Article ID 101246.

Wright, B. D. (2011). The economics of grain price volatility. Applied Economic Perspectives and Policy, 33(1), 32-58.

Yoon, S. M., Al Mamun, M., Uddin, G. S., & Kang, S. H. (2019). Network connectedness and net spillover between financial and commodity markets. North American Journal of Economics and Finance, 48, 801-818.

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

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