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Bidirectional spillover effect between Russian stock index and the selected commodities

Author

Listed:
  • Dejan Živkov

    (Novi Sad school of business, Vladimira Periæa Valtera 4 University of Novi Sad, 21000 Novi Sad, Serbia)

  • Jovan Njegiæ

    (Novi Sad school of business, Vladimira Periæa Valtera 4 University of Novi Sad, 21000 Novi Sad, Serbia)

  • Mirela Momèiloviæ

    (Novi Sad school of business, Vladimira Periæa Valtera 4 University of Novi Sad, 21000 Novi Sad, Serbia)

Abstract

This paper investigates shock and volatility spillover effect between Russian index RTS and six futures commodities (Brent oil, natural gas, gasoline, gold, platinum and palladium), observing joint time-frequency domain via wavelet decomposed series. Due to the fact that our time-span of almost 16 years is permeated with tranquil and crisis periods, we divided full-sample into three subsamples – before, during and after World financial crisis (WFC) via modified ICSS algorithm. We find that spillover effects happen mostly from the commodity markets toward RTS index in all three subsamples. However, during relatively calm periods (first and third sub-periods), spillover effects are very moderate and they occur in relatively few wavelet scales, which points that duration of these effects is limited in peaceful times. On the other hand, duration of spillover effects and its intensity increased during WFC. Also, wavelet coherence indicates that there are areas of stronger co-movements in period of WFC at higher wavelet scales for pairs such as RTS-Brent, -gasoline and -platinum. Commodities that have the strongest transmission effect on RTS index are Brent oil, gasoline and palladium, while gold has strong volatility transmission only during WFC.

Suggested Citation

  • Dejan Živkov & Jovan Njegiæ & Mirela Momèiloviæ, 2018. "Bidirectional spillover effect between Russian stock index and the selected commodities," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 36(1), pages 29-53.
    • Handle: RePEc:rfe:zbefri:v:36:y:2018:i:1:p:29-53
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    References listed on IDEAS

    as
    1. Bernd Hayo & Ali M. Kutan, 2005. "The impact of news, oil prices, and global market developments on Russian financial markets," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 13(2), pages 373-393, April.
    2. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    3. Vacha, Lukas & Barunik, Jozef, 2012. "Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis," Energy Economics, Elsevier, vol. 34(1), pages 241-247.
    4. Tiwari, Aviral Kumar & Mutascu, Mihai Ioan & Albulescu, Claudiu Tiberiu, 2016. "Continuous wavelet transform and rolling correlation of European stock markets," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 237-256.
    5. George Filis & Ioannis Chatziantoniou, 2014. "Financial and monetary policy responses to oil price shocks: evidence from oil-importing and oil-exporting countries," Review of Quantitative Finance and Accounting, Springer, vol. 42(4), pages 709-729, May.
    6. Narayan, Paresh Kumar & Narayan, Seema, 2010. "Modelling the impact of oil prices on Vietnam's stock prices," Applied Energy, Elsevier, vol. 87(1), pages 356-361, January.
    7. Mensi, Walid & Beljid, Makram & Boubaker, Adel & Managi, Shunsuke, 2013. "Correlations and volatility spillovers across commodity and stock markets: Linking energies, food, and gold," Economic Modelling, Elsevier, vol. 32(C), pages 15-22.
    8. Nazlioglu, Saban & Erdem, Cumhur & Soytas, Ugur, 2013. "Volatility spillover between oil and agricultural commodity markets," Energy Economics, Elsevier, vol. 36(C), pages 658-665.
    9. Nurtac Yildirim & Oguzhan Ozcelebi & Seval Oral Ozkan, 2015. "Revisiting the impacts of oil price increases on monetary policy implementation in the largest oil importers," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 33(1), pages 11-35.
    10. Raza, Naveed & Jawad Hussain Shahzad, Syed & Tiwari, Aviral Kumar & Shahbaz, Muhammad, 2016. "Asymmetric impact of gold, oil prices and their volatilities on stock prices of emerging markets," Resources Policy, Elsevier, vol. 49(C), pages 290-301.
    11. Olson, Eric & J. Vivian, Andrew & Wohar, Mark E., 2014. "The relationship between energy and equity markets: Evidence from volatility impulse response functions," Energy Economics, Elsevier, vol. 43(C), pages 297-305.
    12. Berna Kirkulak-Uludag & Zorikto Lkhamazhapov, 2017. "Volatility Dynamics of Precious Metals: Evidence from Russia," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(4), pages 300-317, August.
    13. Liang-Chun HO & Chia-Hsing HUANG, 2016. "Nonlinear Relationships between Oil Price and Stock Index – Evidence from Brazil, Russia, India and China," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 116-126, September.
    14. Hegerty, Scott W., 2016. "Commodity-price volatility and macroeconomic spillovers: Evidence from nine emerging markets," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 23-37.
    15. Cunado, Juncal & Perez de Gracia, Fernando, 2014. "Oil price shocks and stock market returns: Evidence for some European countries," Energy Economics, Elsevier, vol. 42(C), pages 365-377.
    16. Adams, Zeno & Glück, Thorsten, 2015. "Financialization in commodity markets: A passing trend or the new normal?," Journal of Banking & Finance, Elsevier, vol. 60(C), pages 93-111.
    17. Liu, Xueyong & An, Haizhong & Huang, Shupei & Wen, Shaobo, 2017. "The evolution of spillover effects between oil and stock markets across multi-scales using a wavelet-based GARCH–BEKK model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 374-383.
    18. Frederick van der Ploeg & Steven Poelhekke, 2009. "Volatility and the natural resource curse," Oxford Economic Papers, Oxford University Press, vol. 61(4), pages 727-760, October.
    19. Mohamed El Hedi Arouri & Christophe Rault, 2012. "Oil Prices And Stock Markets In Gcc Countries: Empirical Evidence From Panel Analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 242-253, July.
    20. Mensi, Walid & Hammoudeh, Shawkat & Nguyen, Duc Khuong & Kang, Sang Hoon, 2016. "Global financial crisis and spillover effects among the U.S. and BRICS stock markets," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 257-276.
    21. Muzammil KURSHID & Berna Kirkulak ULUDAG, 2017. "Shock And Volatility Spillovers Between Oil And Some Balkan Stock Markets," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 47-59, December.
    22. Ramaprasad Bhar & Biljana Nikolova, 2010. "Global Oil Prices, Oil Industry And Equity Returns: Russian Experience," Scottish Journal of Political Economy, Scottish Economic Society, vol. 57(2), pages 169-186, May.
    23. Murad A. BEIN & Mehmet AGA, 2016. "On the Linkage between the International Crude Oil Price and Stock Markets: Evidence from the Nordic and Other European Oil Importing and Oil Exporting Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 115-134, December.
    24. Jozef BARUNÍK & Lukáš VÁCHA, 2013. "Contagion among Central and Eastern European Stock Markets during the Financial Crisis," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(5), pages 443-453, November.
    25. repec:prg:jnlpep:v:preprint:id:669:p:1-23 is not listed on IDEAS
    26. Adams, Zeno & Glueck, Thorsten, 2014. "Financialization in Commodity Markets: A Passing Trend or the New Normal?," Working Papers on Finance 1413, University of St. Gallen, School of Finance, revised Aug 2015.
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    More about this item

    Keywords

    commodities; spillover effect; MODWT; BEKK-GARCH; wavelet coherence;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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