Research article

Volatility connectedness and market dependence across major financial markets in China economy

  • Received: 03 February 2021 Accepted: 24 May 2021 Published: 26 May 2021
  • JEL Codes: G01, G10, G12, G15

  • With the increasing openness of the China economy, the goal of this paper is to examine volatility connectedness and spillover transmissions across markets for stock, public real estate, bond, commodity futures, and foreign exchange within the China economy. Over the full study period, we find that the five China's financial markets are not strongly volatility connected. The bond market is the predominant market of spillover transmission, whereas the commodity futures market is the top net recipient of volatility connectedness shocks. The role of spillover transmission increased during the three financial crisis periods studied. Additionally, the five markets display some degree of nonlinear causal dependence. During the Chinese stock market crash, the stock and public real estate reacted with similar patterns and larger positive or negative responses to shocks, whereas bonds and commodity futures have milder shocks response. Our findings have important implications for portfolio investors in asset diversification and policymakers in their domestic macroprudential policy coordination and control.

    Citation: Kim Hiang Liow, Jeongseop Song, Xiaoxia Zhou. Volatility connectedness and market dependence across major financial markets in China economy[J]. Quantitative Finance and Economics, 2021, 5(3): 397-420. doi: 10.3934/QFE.2021018

    Related Papers:

  • With the increasing openness of the China economy, the goal of this paper is to examine volatility connectedness and spillover transmissions across markets for stock, public real estate, bond, commodity futures, and foreign exchange within the China economy. Over the full study period, we find that the five China's financial markets are not strongly volatility connected. The bond market is the predominant market of spillover transmission, whereas the commodity futures market is the top net recipient of volatility connectedness shocks. The role of spillover transmission increased during the three financial crisis periods studied. Additionally, the five markets display some degree of nonlinear causal dependence. During the Chinese stock market crash, the stock and public real estate reacted with similar patterns and larger positive or negative responses to shocks, whereas bonds and commodity futures have milder shocks response. Our findings have important implications for portfolio investors in asset diversification and policymakers in their domestic macroprudential policy coordination and control.



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    [1] Aboura S, Chevallier J (2015) Volatility returns with vengeance: Financial markets vs. commodities. Res Int Bus Financ 33: 334–354.
    [2] Ahmed AD, Huo R (2019) Impacts of China's crash on Asia-Pacific financial integration: Volatility interdependence, information transmission and market co-movement. Econ Model 79: 28–46. doi: 10.1016/j.econmod.2018.09.029
    [3] Antonakakis N (2012) Exchange return co-movements and volatility spillovers before and after the introduction of euro. J Int Financ Mark Inst Money 22: 1091–1109. doi: 10.1016/j.intfin.2012.05.009
    [4] Awartani B, Maghyereh A (2013) Dynamic spillovers between oil and stock markets in the Gulf Cooperation Council countries. Energy Econ 36: 28–42. doi: 10.1016/j.eneco.2012.11.024
    [5] Baek E, Brock W (1992) A general test for nonlinear Granger causality: Bivariate model. Iowa State University and University of Wisconsin at Madison Working Paper.
    [6] Bollerslev TR, Engle R, Wooldridge J (1988) A Capital asset pricing model with time-varying covariances. J Political Econ 96: 116–131. doi: 10.1086/261527
    [7] Burdekin R, Siklos P (2012) Enter the dragon: interactions between Chinese, US and Asia-Pacific equity markets, 1995–2010. Pacific-basin Financ J 20: 521–541. doi: 10.1016/j.pacfin.2011.12.004
    [8] Cheng H, Glascock J (2005) Dynamic linkages between the Greater China Economic Area stock markets—Mainland China, Hong Kong and Taiwan. Rev Quant Finance Account 24: 343–357. doi: 10.1007/s11156-005-7017-7
    [9] Chiang MC, Sing TF, Tsai IC (2017) Spillover risks in REITs and other asset markets. J Real Estate Financ Econ 54: 579–604. doi: 10.1007/s11146-015-9545-9
    [10] Chien M, Lee C, Hu T, et al. (2015) Dynamic Asian stock market convergence: Evidence from dynamic cointegration analysis among China and ASEAN-5. Econ Model 51: 84–98. doi: 10.1016/j.econmod.2015.06.024
    [11] Diebold F, Yilmaz K (2009) Measuring financial asset return and volatility spillovers, with applications to global equity markets. Econ J 119: 158–171. doi: 10.1111/j.1468-0297.2008.02208.x
    [12] Diebold F, Yilmaz K (2012) Better to give than to receive: predictive directional measurement of volatility spillovers. Int J Forecast 28: 57–66. doi: 10.1016/j.ijforecast.2011.02.006
    [13] Diebold F, Yilmaz K (2014) On the network topology of variance decompositions: measuring the connectedness of financial firms. J Econometrics 182: 119–134. doi: 10.1016/j.jeconom.2014.04.012
    [14] Diks C, Panchenko V (2006) A new statistic and practical guidelines for nonparametric Granger causality testing. J Econ Dyn Control 30: 1647–1669. doi: 10.1016/j.jedc.2005.08.008
    [15] Dun&Bradstreet (2015) China' stock market crash, Special briefing, 2015. Available from: https://www.dnb.com/content/dam/english/economic-and-industry-insight/china_stock_market.pdf.
    [16] Duncan A, Kabundi A (2012) Volatility spillovers across South African asset classes during domestic and foreign financial crises. Working paper 202, University of Johannesburg.
    [17] Eichholtz P (1996) Does international diversification work better for real estate than for stocks and bonds? Financ Anal J 52: 56–62.
    [18] Fan K, Lu Z, Wang S (2009) Dynamic linkages between the China and International stock markets. Asia-Pacific Financ Mark 16: 211–230. doi: 10.1007/s10690-009-9093-5
    [19] Fung H, Huang A, Liu W, et al. (2006) The development of the real estate industry in China. Chinese Econ 39: 84–102. doi: 10.2753/CES1097-1475390104
    [20] Glick R, Hutchison M (2013) China's financial linkages with Asia and the global financial crisis. J Int Money Financ 39: 186–206. doi: 10.1016/j.jimonfin.2013.06.025
    [21] Granger J (1969) Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37: 424–438.
    [22] Groenewold N, Tang S, Wu Y (2004) The dynamic interrelationships between the Greater China share markets. China Econ Rev 15: 45–62. doi: 10.1016/S1043-951X(03)00029-4
    [23] Hiemstra C, Jones J (1994) Testing for linear and nonlinear Granger causality in the stock price-volume relation. J Financ 49: 1639–1664.
    [24] Huynh TLD, Hille E, Nasir MA (2020) Diversification in the age of the 4th industrial revolution: The role of artificial intelligence, green bonds and cryptocurrencies. Technol Forecast Social Change 159: 120188.
    [25] Huynh TLD, Nasir MA, Nguyen DK (2020) Spillovers and connectedness in foreign exchange markets: The role of trade policy uncertainty. Q Rev Econ Financ. [In Press].
    [26] Ju XK (2020) Herding behaviour of Chinese A-and B-share markets. J Asian Bus Econ Stud 27: 49–65.
    [27] Li X, Zou L (2008) How do policy and information shocks impact co-movements of China's T-bond and stock markets? J Bank Financ 32: 347–359.
    [28] Liow K (2015a) Conditional volatility spillover effects across emerging financial markets. Asia-Pacific J Financ Stud 44: 215–245. doi: 10.1111/ajfs.12087
    [29] Liow K (2015b) Volatility spillover dynamics and relationship across G7 financial markets. North American J Econ Financ 33: 328–365.
    [30] Liow K, Huang Y (2018) The dynamics of volatility connectedness in international real estate investment trusts. J Int Financ Mark Inst Money 55: 195–210. doi: 10.1016/j.intfin.2018.02.003
    [31] Louzis D (2013) Measuring return and volatility spillovers in Euro area financial markets. Working paper 154. Bank of Greece.
    [32] Maghyereh A, Awartani B, AL Hilu K (2015) Dynamic transmissions between the US and equity markets in the MENA countries: new evidence from pre-and post-global financial crisis. Q Rev Econ Financ 56: 123–138. doi: 10.1016/j.qref.2014.08.005
    [33] Ng A (2000) Volatility spillover effects from Japan and the US to the Pacific-Basin. J Int Money Financ 19: 207–233. doi: 10.1016/S0261-5606(00)00006-1
    [34] Pesaran H, Shin Y (1998) Generalized impulse response analysis in linear multivariate models. Econ Lett 58: 17–29. doi: 10.1016/S0165-1765(97)00214-0
    [35] Qiao Z, Chiang C, Wong W (2008) Long-run equilibrium, short-term adjustment, and spillover effects across Chinese segmented stock markets and the Hong Kong stock market. Int Fin Markets Inst Money 18: 425–437. doi: 10.1016/j.intfin.2007.05.004
    [36] White Z (2015) China's stock market crash. House of Lords. In Focus, LIF 2015/0022. Available from https://lordslibrary.parliament.uk/research-briefings/lif-2015-0022/.
    [37] Sugimoto K, Matsuki T, Yoshida Y (2014) The global financial crisis: an analysis of the spillover effects on African stock markets. Emerging Mark Rev 21: 201–233. doi: 10.1016/j.ememar.2014.09.004
    [38] Tam P (2014) A spatial-temporal analysis of East Asian equity market linkages. J Comp Econ 42: 304–327. doi: 10.1016/j.jce.2014.03.008
    [39] Tsai IC (2015) Dynamic information transfer in the United States housing and stock markets. North Am J Econ Financ 34: 215–230. doi: 10.1016/j.najef.2015.09.012
    [40] US-China Economic and Security Review Commission (2015) China' stock market meltdown shakes in the World, again, January 14,201.
    [41] Wang G, Xie C, Jiang Z, et al. (2016) Who are the net senders and recipients of volatility spillovers in China's financial markets? Financ Res Lett 18: 255–262.
    [42] Weber E, Zhang Y (2012) Common influences, spillover and integration in Chinese stock markets. J Empir Financ 19: 382–394. doi: 10.1016/j.jempfin.2012.03.001
    [43] Yilmaz K (2010) Return and volatility spillovers among the East Asian equity markets. J Asian Econ 21: 304–313. doi: 10.1016/j.asieco.2009.09.001
    [44] Zhao H (2010) Dynamic relationship between exchange rate and stock price: Evidence from China. Res Int Bus Financ 24: 103–112. doi: 10.1016/j.ribaf.2009.09.001
    [45] Zhu H, Lu Z, Wang S (2004) Causal linkages among Shanghai, Shenzhen, and Hong Kong stock markets. Int J Theor Appl Financ 7: 135–149. doi: 10.1142/S0219024904002414
    [46] Zhou S, Zhang W, Zhang J (2012) Volatility spillovers between the Chinese and World equity markets. Pacific-Basin Financ J 20: 247–270. doi: 10.1016/j.pacfin.2011.08.002
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