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Czasopismo
2023 | 18 | nr 1 | 49--79
Tytuł artykułu

Dynamic Dependencies and Return Connectedness among Stock, Gold and Bitcoin Markets: Evidence from South Asia and China

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Research background: In order to examine market uncertainty, the paper depicts broad patterns of risk and systematic exposure to global equity market shocks for the major South Asian and Chinese equity markets, as well as for specific assets (gold and Bitcoin). Purpose of the article: The purpose of this paper is to investigate the dynamic correlation among the major South Asian equity markets (India and Pakistan), the Chinese equity markets, the MSCI developed markets, Bitcoin, and gold markets. Methods: While applying the GARCH-Vine-Copula model and the TVP-VAR Connectedness approach, major patterns of dependency and interconnectedness between these markets are investigated. Findings & value added: We find that risk shocks from developed equity markets are critical in these dynamic links. A net return spillover from Bitcoin to the Chinese and Pakistani stock markets throughout the sample period is reported. Interestingly, gold can be applied to hedge and diversify positions in China and major South Asian markets, particularly following the COVID-19 outbreak. Our paper presents three main original add valued: (1) This paper adds global factors to the targeted study of risk transmission among South Asian and Chinese stock markets for the first time. (2)The assets of Bitcoin and gold were added to the study of risk transmission among South Asian and Chinese stock markets for the first time, enabling the research in this paper to observe the non-linear link among the South Asian and Chinese stock markets with them. (3) Our research adds to these lines of inquiry by giving empirical evidence on how COVID-19 altered the dependent structure and return spillover dynamics of Bitcoin, gold and South Asian and Chinese stock markets for the first time. Our results have critical implications for investors and policymakers to effectively understand the nature of market forces and develop risk-averse strategies.(original abstract)
Czasopismo
Rocznik
Tom
18
Numer
Strony
49--79
Opis fizyczny
Twórcy
autor
  • RMIT University, Australia
autor
  • Swinburne University of Technology, Australia
  • RMIT University, Australia
Bibliografia
  • Aas, K., Czado, C., Frigessi, A., & Bakken, H. (2009). Pair-copula constructions of multiple dependence. Insurance: Mathematics and Economics, 44(2), 182?198. doi: 10.1016/j.insmatheco.2007.02.001.
  • Abbas, Q., Khan, S., & Shah, S. Z. A. (2013). Volatility transmission in regional Asian stock markets. Emerging Markets Review, 16, 66?77. doi: 10.1016/j.ememar. 2013.04.004.
  • Antonakakis, N., Chatziantoniou, I., & Gabauer, D. (2020). Refined measures of dynamic connectedness based on time-varying parameter vector autoregres-sions. Journal of Risk and Financial Management, 13(4), 84. doi: 10.3390/jrfm13 040084.
  • Arslanalp, M. S., Liao, W., Piao, S., & Seneviratne, M. (2016). China's growing influ-ence on Asian financial markets. International Monetary Fund.
  • Aslam, F., Mughal, K. S., Aziz, S., Ahmad, M. F., & Trabelsi, D. (2022). COVID-19 pandemic and the dependence structure of global stock markets. Applied Economics, 54(18), 2013?2031. doi: 10.1080/00036846.2021.1983148.
  • Barro, R. J. (2006). Rare disasters and asset markets in the twentieth century. Quarterly Journal of Economics, 121(3), 823?866. doi: 10.1162/qjec.121.3.823.
  • Baur, D. G., & Lucey, B. M. (2010). Is gold a hedge or a safe haven? An analysis of stocks, bonds and gold. Financial Review, 45(2), 217?229. doi: 10.1111/j.1540-628 8.2010.00244.x.
  • Baur, D. G., Hong, K., & Lee, A. D. (2018). Bitcoin: Medium of exchange or specula-tive assets? Journal of International Financial Markets, Institutions and Money, 54, 177?189. doi: 10.1016/j.intfin.2017.12.004.
  • BBC (2021). India-China dispute: The border row explained in 400 words. Retrieved from https://www.bbc.com/news/world-asia-53062484.
  • Bekiros, S. D. (2014). Contagion, decoupling and the spillover effects of the US fi-nancial crisis: Evidence from the BRIC markets. International Review of Financial Analysis, 33, 58?69. doi: 10.1016/j.irfa.2013.07.007.
  • Benoit, S., Colliard, J. E., Hurlin, C., & Pérignon, C. (2017). Where the risks lie: A survey on systemic risk. Review of Finance, 21(1), 109?152. doi: 10.1093/rof/rfw 026.
  • Blasques, F., Koopman, S. J., Lucas, A., & Schaumburg, J. (2016). Spillover dynamics for systemic risk measurement using spatial financial time series models. Journal of Econometrics, 195(2), 211?223. doi: 10.1016/j.jeconom.2016.09.001.
  • Bouri, E., Molnár, P., Azzi, G., Roubaud, D., & Hagfors, L. I. (2017a). On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier? Finance Research Letters, 20, 192?198. doi: 10.1016/j.frl.2016.09.025.
  • Bouri, E., Jalkh, N., Molnár, P., & Roubaud, D. (2017b). Bitcoin for energy commodi-ties before and after the December 2013 crash: Diversifier, hedge or safe ha-ven? Applied Economics, 49(50), 5063?5073. doi: 10.1080/00036846.2017.1299102.
  • Bouri, E., Cepni, O., Gabauer, D., & Gupta, R. (2021). Return connectedness across asset classes around the COVID-19 outbreak. International Review of Financial Analysis, 73, 101646. doi: 10.1016/j.irfa.2020.101646.
  • Burdekin, R. C., & Siklos, P. L. (2012). Enter the dragon: Interactions between Chi-nese, US and Asia-Pacific equity markets, 1995?2010. Pacific-basin Finance Journal, 20(3), 521?541. doi: 10.1016/j.pacfin.2011.12.004.
  • Chainalysis (2020). The 2020 Geography of cryptocurrency report. Retrieved from https://markets.chainalysis.com/
Typ dokumentu
Bibliografia
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