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Spillovers among sovereign CDS, stock and commodity markets: A correlation network perspective

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  • Sun, Xiaolei
  • Wang, Jun
  • Yao, Yanzhen
  • Li, Jingyu
  • Li, Jianping

Abstract

In the wake of the globalization of financial markets, studying spillovers among different asset markets, especially spillovers that include sovereign CDS markets, is of vital importance. This paper attempts to build a spillover network to investigate the complex interactions within the system of sovereign CDS, stock and commodity markets by adopting the spillover index based on forecast error variance (FEV) decomposition. The results reveal that emerging countries have larger average spillovers than developed countries with regard to sovereign CDS-to-stock returns spillovers, while the developed countries contribute more average spillovers than the emerging countries in the opposite direction. Moreover, the sovereign CDS market and the commodity market still demonstrate a relatively important role during certain periods although stock markets always occupy the dominant position during every phase. Our findings provide new insights into spillovers among the major global asset markets using a network perspective, which is valuable for regulation of financial markets, asset allocation and portfolio risk management.

Suggested Citation

  • Sun, Xiaolei & Wang, Jun & Yao, Yanzhen & Li, Jingyu & Li, Jianping, 2020. "Spillovers among sovereign CDS, stock and commodity markets: A correlation network perspective," International Review of Financial Analysis, Elsevier, vol. 68(C).
  • Handle: RePEc:eee:finana:v:68:y:2020:i:c:s1057521918304599
    DOI: 10.1016/j.irfa.2018.10.008
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    as
    1. Fan, Ying & Xu, Jin-Hua, 2011. "What has driven oil prices since 2000? A structural change perspective," Energy Economics, Elsevier, vol. 33(6), pages 1082-1094.
    2. 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.
    3. Mensi, Walid & Hammoudeh, Shawkat & Al-Jarrah, Idries Mohammad Wanas & Sensoy, Ahmet & Kang, Sang Hoon, 2017. "Dynamic risk spillovers between gold, oil prices and conventional, sustainability and Islamic equity aggregates and sectors with portfolio implications," Energy Economics, Elsevier, vol. 67(C), pages 454-475.
    4. Antonakakis, N. & Badinger, H., 2016. "Economic growth, volatility, and cross-country spillovers: New evidence for the G7 countries," Economic Modelling, Elsevier, vol. 52(PB), pages 352-365.
    5. Rabah Arezki & Markus Brückner, 2012. "Resource Windfalls and Emerging Market Sovereign Bond Spreads: The Role of Political Institutions," The World Bank Economic Review, World Bank, vol. 26(1), pages 78-99.
    6. Wen, Fenghua & Gong, Xu & Cai, Shenghua, 2016. "Forecasting the volatility of crude oil futures using HAR-type models with structural breaks," Energy Economics, Elsevier, vol. 59(C), pages 400-413.
    7. Arce, Oscar & Mayordomo, Sergio & Peña, Juan Ignacio, 2013. "Credit-risk valuation in the sovereign CDS and bonds markets: Evidence from the euro area crisis," Journal of International Money and Finance, Elsevier, vol. 35(C), pages 124-145.
    8. Claeys, Peter & Vašíček, Bořek, 2014. "Measuring bilateral spillover and testing contagion on sovereign bond markets in Europe," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 151-165.
    9. Fontana, Alessandro & Scheicher, Martin, 2016. "An analysis of euro area sovereign CDS and their relation with government bonds," Journal of Banking & Finance, Elsevier, vol. 62(C), pages 126-140.
    10. Ji, Qiang & Marfatia, Hardik & Gupta, Rangan, 2018. "Information spillover across international real estate investment trusts: Evidence from an entropy-based network analysis," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 103-113.
    11. Roger D. Huang & Ronald W. Masulis & Hans R. Stoll, 1996. "Energy shocks and financial markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(1), pages 1-27, February.
    12. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    13. Kim, Suk-Joong & Salem, Leith & Wu, Eliza, 2015. "The role of macroeconomic news in sovereign CDS markets: Domestic and spillover news effects from the U.S., the Eurozone and China," Journal of Financial Stability, Elsevier, vol. 18(C), pages 208-224.
    14. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    15. Ngene, Geoffrey M. & Kabir Hassan, M. & Alam, Nafis, 2014. "Price discovery process in the emerging sovereign CDS and equity markets," Emerging Markets Review, Elsevier, vol. 21(C), pages 117-132.
    16. Badaoui, Saad & Cathcart, Lara & El-Jahel, Lina, 2013. "Do sovereign credit default swaps represent a clean measure of sovereign default risk? A factor model approach," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2392-2407.
    17. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    18. Zihui Yang & Yinggang Zhou, 2017. "Quantitative Easing and Volatility Spillovers Across Countries and Asset Classes," Management Science, INFORMS, vol. 63(2), pages 333-354, February.
    19. Awartani, Basel & Aktham, Maghyereh & Cherif, Guermat, 2016. "The connectedness between crude oil and financial markets: Evidence from implied volatility indices," Journal of Commodity Markets, Elsevier, vol. 4(1), pages 56-69.
    20. Annaert, Jan & De Ceuster, Marc & Van Roy, Patrick & Vespro, Cristina, 2013. "What determines Euro area bank CDS spreads?," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 444-461.
    21. Smyth, Russell & Narayan, Paresh Kumar, 2018. "What do we know about oil prices and stock returns?," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 148-156.
    22. Blommestein, Hans & Eijffinger, Sylvester & Qian, Zongxin, 2016. "Regime-dependent determinants of Euro area sovereign CDS spreads," Journal of Financial Stability, Elsevier, vol. 22(C), pages 10-21.
    23. Ji, Qiang & Bouri, Elie & Roubaud, David, 2018. "Dynamic network of implied volatility transmission among US equities, strategic commodities, and BRICS equities," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 1-12.
    24. Mr. Jorge A Chan-Lau & Ms. Yoon Sook Kim, 2004. "Equity Prices, Credit Default Swaps, and Bond Spreads in Emerging Markets," IMF Working Papers 2004/027, International Monetary Fund.
    25. Bouri, Elie & de Boyrie, Maria E. & Pavlova, Ivelina, 2017. "Volatility transmission from commodity markets to sovereign CDS spreads in emerging and frontier countries," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 155-165.
    26. He, Kaijian & Chen, Yanhui & Tso, Geoffrey K.F., 2017. "Price forecasting in the precious metal market: A multivariate EMD denoising approach," Resources Policy, Elsevier, vol. 54(C), pages 9-24.
    27. Ji, Qiang & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2018. "Network causality structures among Bitcoin and other financial assets: A directed acyclic graph approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 203-213.
    28. Jammazi, Rania & Aloui, Chaker, 2010. "Wavelet decomposition and regime shifts: Assessing the effects of crude oil shocks on stock market returns," Energy Policy, Elsevier, vol. 38(3), pages 1415-1435, March.
    29. Perron, Pierre & Qu, Zhongjun, 2007. "A simple modification to improve the finite sample properties of Ng and Perron's unit root tests," Economics Letters, Elsevier, vol. 94(1), pages 12-19, January.
    30. O'Connor, Fergal A. & Lucey, Brian M. & Batten, Jonathan A. & Baur, Dirk G., 2015. "The financial economics of gold — A survey," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 186-205.
    31. Sensoy, Ahmet & Fabozzi, Frank J. & Eraslan, Veysel, 2017. "Predictability dynamics of emerging sovereign CDS markets," Economics Letters, Elsevier, vol. 161(C), pages 5-9.
    32. Tabak, Benjamin M. & de Castro Miranda, Rodrigo & da Silva Medeiros, Maurício, 2016. "Contagion in CDS, banking and equity markets," Economic Systems, Elsevier, vol. 40(1), pages 120-134.
    33. 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.
    34. Groba, Jonatan & Lafuente, Juan A. & Serrano, Pedro, 2013. "The impact of distressed economies on the EU sovereign market," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2520-2532.
    35. Ftiti, Zied & Guesmi, Khaled & Abid, Ilyes, 2016. "Oil price and stock market co-movement: What can we learn from time-scale approaches?," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 266-280.
    36. Xiao, Jihong & Zhou, Min & Wen, Fengming & Wen, Fenghua, 2018. "Asymmetric impacts of oil price uncertainty on Chinese stock returns under different market conditions: Evidence from oil volatility index," Energy Economics, Elsevier, vol. 74(C), pages 777-786.
    37. Chao Wei, 2003. "Energy, the Stock Market, and the Putty-Clay Investment Model," American Economic Review, American Economic Association, vol. 93(1), pages 311-323, March.
    38. Maghyereh, Aktham I. & Awartani, Basel & Bouri, Elie, 2016. "The directional volatility connectedness between crude oil and equity markets: New evidence from implied volatility indexes," Energy Economics, Elsevier, vol. 57(C), pages 78-93.
    39. Ho, Sy Hoa, 2016. "Long and short-runs determinants of the sovereign CDS spread in emerging countries," Research in International Business and Finance, Elsevier, vol. 36(C), pages 579-590.
    40. Zhang, Dayong & Ji, Qiang, 2018. "Further evidence on the debate of oil-gas price decoupling: A long memory approach," Energy Policy, Elsevier, vol. 113(C), pages 68-75.
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