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Exploring the Spillover effects of tail risk fluctuations in the RMB exchange rate—The time-frequency and quantile connectivity perspective

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  • Huang, Zhigang
  • Zhang, Weilan

Abstract

This study constructs spillover indices from a volatility spillover network perspective using the Quantile Vector Autoregression (QVAR) model, capturing the RMB exchange rate's tail risk and time-frequency effects across varying shock sizes. Empirical results show that the QVAR-based spillover index more effectively captures the tail risk spillover effects across different quantiles. In the time domain, spillovers between RMB exchange rates are dynamic and particularly sensitive to extreme contingencies. In the frequency domain, RMB exchange rates demonstrate significant spillovers, primarily at low frequencies. During extreme upward events, dynamic observations show high-frequency spillovers surpassing low-frequency ones as dominant drivers in the tail spillovers of the RMB exchange rate. Additionally, the analysis of tail dependence indicators indicates a strong asymmetry in RMB exchange rate correlations, emphasizing market participants' heightened sensitivity to unfavorable shocks. These findings can serve as a reference for policymakers to strengthen risk management of the RMB exchange rate.

Suggested Citation

  • Huang, Zhigang & Zhang, Weilan, 2024. "Exploring the Spillover effects of tail risk fluctuations in the RMB exchange rate—The time-frequency and quantile connectivity perspective," Research in International Business and Finance, Elsevier, vol. 72(PB).
  • Handle: RePEc:eee:riibaf:v:72:y:2024:i:pb:s0275531924003271
    DOI: 10.1016/j.ribaf.2024.102534
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    as
    1. Strohsal, Till & Proaño, Christian R. & Wolters, Jürgen, 2019. "Characterizing the financial cycle: Evidence from a frequency domain analysis," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 568-591.
    2. Hu, Genhua & Wang, Xiangjin & Qiu, Hong, 2023. "Analyzing a dynamic relation between RMB exchange rate onshore and offshore during the extreme market conditions," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 408-417.
    3. Ding, Qian & Huang, Jianbai & Zhang, Hongwei, 2022. "Time-frequency spillovers among carbon, fossil energy and clean energy markets: The effects of attention to climate change," International Review of Financial Analysis, Elsevier, vol. 83(C).
    4. Betz, Frank & Hautsch, Nikolaus & Peltonen, Tuomas A. & Schienle, Melanie, 2016. "Systemic risk spillovers in the European banking and sovereign network," Journal of Financial Stability, Elsevier, vol. 25(C), pages 206-224.
    5. 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.
    6. Li, Jingyu & Liu, Ranran & Yao, Yanzhen & Xie, Qiwei, 2022. "Time-frequency volatility spillovers across the international crude oil market and Chinese major energy futures markets: Evidence from COVID-19," Resources Policy, Elsevier, vol. 77(C).
    7. Song, Lu & Tian, Gengyu & Jiang, Yonghong, 2022. "Connectedness of commodity, exchange rate and categorical economic policy uncertainties — Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    8. Li, Xue & Liu, Yanghui & Li, Hanxu & Li, Jie, 2021. "Onshore spot and offshore forward markets for RMB: Evidence from the “8.11” exchange rate regime reform," China Economic Review, Elsevier, vol. 67(C).
    9. Al-Shboul, Mohammad & Assaf, Ata & Mokni, Khaled, 2023. "Does economic policy uncertainty drive the dynamic spillover among traditional currencies and cryptocurrencies? The role of the COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 64(C).
    10. Naeem, Muhammad Abubakr & Peng, Zhe & Suleman, Mouhammed Tahir & Nepal, Rabindra & Shahzad, Syed Jawad Hussain, 2020. "Time and frequency connectedness among oil shocks, electricity and clean energy markets," Energy Economics, Elsevier, vol. 91(C).
    11. Wang, Yonglian & Wang, Lijun & Pan, Changchun & Hong, Songzhi, 2022. "Economic policy uncertainty and price pass-through effect of exchange rate in China," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    12. Straetmans, Stefan & Chaudhry, Sajid M., 2015. "Tail risk and systemic risk of US and Eurozone financial institutions in the wake of the global financial crisis," Journal of International Money and Finance, Elsevier, vol. 58(C), pages 191-223.
    13. Bouri, Elie & Lucey, Brian & Saeed, Tareq & Vo, Xuan Vinh, 2020. "Extreme spillovers across Asian-Pacific currencies: A quantile-based analysis," International Review of Financial Analysis, Elsevier, vol. 72(C).
    14. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    15. Opie, Wei & Riddiough, Steven J., 2020. "Global currency hedging with common risk factors," Journal of Financial Economics, Elsevier, vol. 136(3), pages 780-805.
    16. Boakye, Robert Owusu & Mensah, Lord Kwaku & Kang, Sang Hoon & Osei, Kofi Acheampong, 2023. "Foreign exchange market return spillovers and connectedness among African countries," International Review of Financial Analysis, Elsevier, vol. 86(C).
    17. Paul Alagidede & Muazu Ibrahim, 2017. "On the Causes and Effects of Exchange Rate Volatility on Economic Growth: Evidence from Ghana," Journal of African Business, Taylor & Francis Journals, vol. 18(2), pages 169-193, April.
    18. Jiang, Xue & Li, Sai-Ping & Mai, Yong & Tian, Tao, 2022. "Study of multinational currency co-movement and exchange rate stability base on network game," Finance Research Letters, Elsevier, vol. 47(PA).
    19. Keskin, Mustafa & Deviren, Bayram & Kocakaplan, Yusuf, 2011. "Topology of the correlation networks among major currencies using hierarchical structure methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 719-730.
    20. Das, Suman & Roy, Saikat Sinha, 2023. "Following the leaders? A study of co-movement and volatility spillover in BRICS currencies," Economic Systems, Elsevier, vol. 47(2).
    21. Mensi, Walid & Ahmadian-Yazdi, Farzaneh & Al-Kharusi, Sami & Roudari, Soheil & Kang, Sang Hoon, 2024. "Extreme Connectedness Across Chinese Stock and Commodity Futures Markets," Research in International Business and Finance, Elsevier, vol. 70(PA).
    22. Wen, Fenghua & Wang, Kangsheng & Zeng, Aiqing, 2024. "Return spillover across the carbon market and financial markets: A quantile-based approach," Research in International Business and Finance, Elsevier, vol. 69(C).
    23. Antonakakis, Nikolaos, 2012. "Exchange return co-movements and volatility spillovers before and after the introduction of euro," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(5), pages 1091-1109.
    24. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    25. Zhang, Qian & Li, Zeguang, 2021. "Time-varying risk attitude and the foreign exchange market behavior," Research in International Business and Finance, Elsevier, vol. 57(C).
    26. Kočenda, Evžen & Moravcová, Michala, 2019. "Exchange rate comovements, hedging and volatility spillovers on new EU forex markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 42-64.
    27. Goswami, Mangal & Pontines, Victor & Mohammed, Yassier, 2023. "Portfolio capital flows and the US dollar exchange rate: Viewed from the lens of time and frequency dynamics of connectedness," International Review of Financial Analysis, Elsevier, vol. 89(C).
    28. Sui, Lu & Sun, Lijuan, 2016. "Spillover effects between exchange rates and stock prices: Evidence from BRICS around the recent global financial crisis," Research in International Business and Finance, Elsevier, vol. 36(C), pages 459-471.
    29. repec:wsr:wpaper:y:2012:i:080 is not listed on IDEAS
    30. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    31. Eric Martial Etoundi Atenga & Mbodja Mougoué, 2021. "Return and volatility spillovers to African equity markets and their determinants," Empirical Economics, Springer, vol. 61(2), pages 883-918, August.
    32. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    33. Sun, Chuanwang & Min, Jialin & Sun, Jiacheng & Gong, Xu, 2023. "The role of China's crude oil futures in world oil futures market and China's financial market," Energy Economics, Elsevier, vol. 120(C).
    34. Jozef Baruník & Tomáš Křehlík, 2018. "Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk," Journal of Financial Econometrics, Oxford University Press, vol. 16(2), pages 271-296.
    35. Lahmiri, Salim, 2017. "Modeling and predicting historical volatility in exchange rate markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 387-395.
    36. Boyan Jovanovic & Sai Ma, 2022. "Uncertainty and Growth Disasters," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 44, pages 33-64, April.
    37. Gong, Xiao-Li & Liu, Xi-Hua & Xiong, Xiong, 2019. "Measuring tail risk with GAS time varying copula, fat tailed GARCH model and hedging for crude oil futures," Pacific-Basin Finance Journal, Elsevier, vol. 55(C), pages 95-109.
    38. Mensi, Walid & Shafiullah, Muhammad & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "Spillovers and connectedness between green bond and stock markets in bearish and bullish market scenarios," Finance Research Letters, Elsevier, vol. 49(C).
    39. Adams, Zeno & Füss, Roland & Gropp, Reint, 2014. "Spillover Effects among Financial Institutions: A State-Dependent Sensitivity Value-at-Risk Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(3), pages 575-598, June.
    40. Ciner, Cetin, 2011. "Information transmission across currency futures markets: Evidence from frequency domain tests," International Review of Financial Analysis, Elsevier, vol. 20(3), pages 134-139, June.
    41. Klein, Mathias & Linnemann, Ludger, 2021. "Real exchange rate and international spillover effects of US technology shocks," Journal of International Economics, Elsevier, vol. 129(C).
    42. Wu, Xinyu & Xie, Haibin & Zhang, Huanming, 2022. "Time-varying risk aversion and renminbi exchange rate volatility: Evidence from CARR-MIDAS model," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    43. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Noman, Ambreen, 2021. "The volatility connectedness of the EU carbon market with commodity and financial markets in time- and frequency-domain: The role of the U.S. economic policy uncertainty," Resources Policy, Elsevier, vol. 74(C).
    44. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
    45. Cunado, Juncal & Chatziantoniou, Ioannis & Gabauer, David & de Gracia, Fernando Perez & Hardik, Marfatia, 2023. "Dynamic spillovers across precious metals and oil realized volatilities: Evidence from quantile extended joint connectedness measures," Journal of Commodity Markets, Elsevier, vol. 30(C).
    46. Feng, Haoyuan & Liu, Yue & Wu, Jie & Guo, Kun, 2023. "Financial market spillovers and macroeconomic shocks: Evidence from China," Research in International Business and Finance, Elsevier, vol. 65(C).
    47. 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.
    48. Narayan, Paresh Kumar, 2022. "Understanding exchange rate shocks during COVID-19," Finance Research Letters, Elsevier, vol. 45(C).
    49. Zhang, Bo & Zhou, Peng, 2021. "Financial development and economic growth in a microfounded small open economy model," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    50. Asadi, Mehrad & Roubaud, David & Tiwari, Aviral Kumar, 2022. "Volatility spillovers amid crude oil, natural gas, coal, stock, and currency markets in the US and China based on time and frequency domain connectedness," Energy Economics, Elsevier, vol. 109(C).
    51. Rehman, Mobeen Ur & Vo, Xuan Vinh & Ko, Hee-Un & Ahmad, Nasir & Kang, Sang Hoon, 2023. "Quantile connectedness between Chinese stock and commodity futures markets," Research in International Business and Finance, Elsevier, vol. 64(C).
    52. Su, Fei, 2021. "Conditional volatility persistence and volatility spillovers in the foreign exchange market," Research in International Business and Finance, Elsevier, vol. 55(C).
    53. Chen, Yufeng & Xu, Jing & Hu, May, 2022. "Asymmetric volatility spillovers and dynamic correlations between crude oil price, exchange rate and gold price in BRICS," Resources Policy, Elsevier, vol. 78(C).
    54. Wen, Tiange & Wang, Gang-Jin, 2020. "Volatility connectedness in global foreign exchange markets," Journal of Multinational Financial Management, Elsevier, vol. 54(C).
    55. Harvey, Andrew & Sucarrat, Genaro, 2014. "EGARCH models with fat tails, skewness and leverage," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 320-338.
    56. Feng, Qianqian & Wang, Yijing & Sun, Xiaolei & Li, Jianping & Guo, Kun & Chen, Jianming, 2023. "What drives cross-border spillovers among sovereign CDS, foreign exchange and stock markets?," Global Finance Journal, Elsevier, vol. 56(C).
    57. Zhang, Wenting & He, Xie & Hamori, Shigeyuki, 2022. "Volatility spillover and investment strategies among sustainability-related financial indexes: Evidence from the DCC-GARCH-based dynamic connectedness and DCC-GARCH t-copula approach," International Review of Financial Analysis, Elsevier, vol. 83(C).
    58. Aït-Sahalia, Yacine & Cacho-Diaz, Julio & Laeven, Roger J.A., 2015. "Modeling financial contagion using mutually exciting jump processes," Journal of Financial Economics, Elsevier, vol. 117(3), pages 585-606.
    59. Tamakoshi, Go & Hamori, Shigeyuki, 2014. "Co-movements among major European exchange rates: A multivariate time-varying asymmetric approach," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 105-113.
    60. Tiwari, Aviral Kumar & Mishra, Bibhuti Ranjan & Solarin, Sakiru Adebola, 2021. "Analysing the spillovers between crude oil prices, stock prices and metal prices: The importance of frequency domain in USA," Energy, Elsevier, vol. 220(C).
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