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Coherence, connectedness and dynamic hedging effectiveness between emerging markets equities and commodity index funds

Author

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  • Singh, Jitendra
  • Ahmad, Wasim
  • Mishra, Anil
Abstract
In this paper, we examine the hedging performance of two emerging markets equities indices represented by Morgan Stanley Capital International (MSCI) - Emerging Market (EM) and MSCI-BRIC (Brazil, Russia, India, and China) with the two globally traded commodities indices viz. Standard & Poor's Goldman Sachs Commodity Index (S&P-GSCI, henceforth GSCI) and Bloomberg Commodity Index (BCOM) and two US-linked financial factors viz. the implied volatility index of S&P 500 index (VIX) and the US bond futures. The study uses the daily data for the period 04 January 2004 to 30 November 2017 and adopts three-step procedure. In the first step, we examine the wavelet coherence among these indices followed by connectedness analysis in the second step. In the third step, we estimate the dynamic conditional correlations models to calculate the time-varying hedge ratios and use the rolling-window approach to estimate one-step-ahead forecast of dynamic conditional volatility. The estimated results suggest the existence of a higher level of dynamic coherence and connectedness between equities and commodities benchmarks, implying that the investors do not care much about the composition of these indices. The extent of comovement is almost same in the case of EM and BRIC. However, both equities indices (EM & BRIC) exhibit a negative correlation with VIX and BOND. The results of connectedness and dynamic conditional correlations capture the major turning points. The optimal hedge ratios suggest that the VIX is the most desirable asset for hedging choices followed by BCOM and GSCI. Thus, it can be concluded that the emerging markets equities indices can be combined with commodities indices for hedging and risk diversification purpose.

Suggested Citation

  • Singh, Jitendra & Ahmad, Wasim & Mishra, Anil, 2019. "Coherence, connectedness and dynamic hedging effectiveness between emerging markets equities and commodity index funds," Resources Policy, Elsevier, vol. 61(C), pages 441-460.
  • Handle: RePEc:eee:jrpoli:v:61:y:2019:i:c:p:441-460
    DOI: 10.1016/j.resourpol.2018.03.006
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    References listed on IDEAS

    as
    1. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    2. Chang, Eui Jung & Lima, Eduardo Jose Araujo & Tabak, Benjamin Miranda, 2004. "Testing for predictability in emerging equity markets," Emerging Markets Review, Elsevier, vol. 5(3), pages 295-316, September.
    3. Evgenia Passari & Hélène Rey, 2015. "Financial Flows and the International Monetary System," Economic Journal, Royal Economic Society, vol. 0(584), pages 675-698, May.
    4. Bahattin Buyuksahin & Jeffrey H. Harris, 2011. "Do Speculators Drive Crude Oil Futures Prices?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 167-202.
    5. Baffes, John & Haniotis, Tassos, 2010. "Placing the 2006/08 commodity price boom into perspective," Policy Research Working Paper Series 5371, The World Bank.
    6. Ahmad, Wasim & Mishra, Anil V. & Daly, Kevin J., 2018. "Financial connectedness of BRICS and global sovereign bond markets," Emerging Markets Review, Elsevier, vol. 37(C), pages 1-16.
    7. Glen, Jack, 2002. "Devaluations and emerging stock market returns," Emerging Markets Review, Elsevier, vol. 3(4), pages 409-428, December.
    8. Lorenzo Cappiello & Robert F. Engle & Kevin Sheppard, 2006. "Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns," Journal of Financial Econometrics, Oxford University Press, vol. 4(4), pages 537-572.
    9. Mensi, Walid & Shahzad, Syed Jawad Hussain & Hammoudeh, Shawkat & Zeitun, Rami & Rehman, Mobeen Ur, 2017. "Diversification potential of Asian frontier, BRIC emerging and major developed stock markets: A wavelet-based value at risk approach," Emerging Markets Review, Elsevier, vol. 32(C), pages 130-147.
    10. Kanjilal, Kakali & Ghosh, Sajal, 2017. "Dynamics of crude oil and gold price post 2008 global financial crisis – New evidence from threshold vector error-correction model," Resources Policy, Elsevier, vol. 52(C), pages 358-365.
    11. Graham, Michael & Peltomäki, Jarkko & Piljak, Vanja, 2016. "Global economic activity as an explicator of emerging market equity returns," Research in International Business and Finance, Elsevier, vol. 36(C), pages 424-435.
    12. Christopher R. Knittel & Robert S. Pindyck, 2016. "The Simple Economics of Commodity Price Speculation," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(2), pages 85-110, April.
    13. Yang, Lu & Cai, Xiao Jing & Zhang, Huimin & Hamori, Shigeyuki, 2016. "Interdependence of foreign exchange markets: A wavelet coherence analysis," Economic Modelling, Elsevier, vol. 55(C), pages 6-14.
    14. Ahmad, Wasim, 2017. "On the dynamic dependence and investment performance of crude oil and clean energy stocks," Research in International Business and Finance, Elsevier, vol. 42(C), pages 376-389.
    15. Silvennoinen, Annastiina & Thorp, Susan, 2013. "Financialization, crisis and commodity correlation dynamics," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 42-65.
    16. Basher, Syed Abul & Sadorsky, Perry, 2016. "Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCH," Energy Economics, Elsevier, vol. 54(C), pages 235-247.
    17. Esin Cakan & Nadia Doytch & Kamal P. Upadhyaya, 2015. "Does U.S. macroeconomic news make emerging financial markets riskier," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 15(1), pages 37-43, March.
    18. repec:dau:papers:123456789/14524 is not listed on IDEAS
    19. Sanjay Sehgal & Wasim Ahmad & Florent Deisting, 2015. "An investigation of price discovery and volatility spillovers in India’s foreign exchange market," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 42(2), pages 261-284, May.
    20. Irwin, Scott H. & Sanders, Dwight R. & Merrin, Robert P., 2009. "Devil or Angel? The Role of Speculation in the Recent Commodity Price Boom (and Bust)," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 41(2), pages 377-391, August.
    21. Hanousek, Jan & Kocenda, Evzen & Kutan, Ali M., 2009. "The reaction of asset prices to macroeconomic announcements in new EU markets: Evidence from intraday data," Journal of Financial Stability, Elsevier, vol. 5(2), pages 199-219, June.
    22. Lutz Kilian & Daniel P. Murphy, 2014. "The Role Of Inventories And Speculative Trading In The Global Market For Crude Oil," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 454-478, April.
    23. Kamil Yilmaz, 2009. "Business Cycle Spillovers," 2009 Meeting Papers 1079, Society for Economic Dynamics.
    24. Tiwari, Aviral Kumar & Sahadudheen, I., 2015. "Understanding the nexus between oil and gold," Resources Policy, Elsevier, vol. 46(P2), pages 85-91.
    25. Mensi, Walid & Hammoudeh, Shawkat & Reboredo, Juan Carlos & Nguyen, Duc Khuong, 2014. "Do global factors impact BRICS stock markets? A quantile regression approach," Emerging Markets Review, Elsevier, vol. 19(C), pages 1-17.
    26. Kearney, Colm, 2012. "Emerging markets research: Trends, issues and future directions," Emerging Markets Review, Elsevier, vol. 13(2), pages 159-183.
    27. Leland L. Johnson, 1960. "The Theory of Hedging and Speculation in Commodity Futures," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 27(3), pages 139-151.
    28. Mensi, Walid & Al-Yahyaee, Khamis Hamed & Hoon Kang, Sang, 2017. "Time-varying volatility spillovers between stock and precious metal markets with portfolio implications," Resources Policy, Elsevier, vol. 53(C), pages 88-102.
    29. Broto, Carmen, 2013. "The effectiveness of forex interventions in four Latin American countries," Emerging Markets Review, Elsevier, vol. 17(C), pages 224-240.
    30. Kamil Yilmaz, 2009. "International Business Cycle Spillovers," Koç University-TUSIAD Economic Research Forum Working Papers 0903, Koc University-TUSIAD Economic Research Forum, revised Nov 2009.
    31. Marcelo Bianconi & Joe A. Yoshino & Mariana O. Machado de Sousa, 2011. "BRIC and the U.S. Financial Crisis: An Empirical Investigation of Stocks and Bonds Markets," Discussion Papers Series, Department of Economics, Tufts University 0764, Department of Economics, Tufts University.
    32. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    33. Buchanan, Bonnie G. & English II, Philip C. & Gordon, Rachel, 2011. "Emerging market benefits, investability and the rule of law," Emerging Markets Review, Elsevier, vol. 12(1), pages 47-60, March.
    34. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    35. Erlend Nier & Tahsin Saadi Sedik & Tomas Mondino, 2014. "Gross Private Capital Flows to Emerging Markets: Can the Global Financial Cycle Be Tamed?," IMF Working Papers 2014/196, International Monetary Fund.
    36. Dietrich Domanski & Alexandra Heath, 2007. "Financial investors and commodity markets," BIS Quarterly Review, Bank for International Settlements, March.
    37. Mehmet Balcilar & Esin Cakan & Rangan Gupta, 2016. "Does U.S. News Impact Asian Emerging Markets? Evidence from Nonparametric Causality-in-Quantiles Test," Working Papers 201631, University of Pretoria, Department of Economics.
    38. Ahmad, Wasim & Rais, Shirin & Shaik, Abdul Rahman, 2018. "Modelling the directional spillovers from DJIM Index to conventional benchmarks: Different this time?," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 14-27.
    39. Scott H. Irwin & Dwight R. Sanders, 2011. "Index Funds, Financialization, and Commodity Futures Markets," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(1), pages 1-31.
    40. Ahmad, Wasim & Sadorsky, Perry & Sharma, Amit, 2018. "Optimal hedge ratios for clean energy equities," Economic Modelling, Elsevier, vol. 72(C), pages 278-295.
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    More about this item

    Keywords

    Implied volatility; Wavelet coherence; Connectedness; Co-movement;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F30 - International Economics - - International Finance - - - General
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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