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Time-dependent lead-lag relationship between the onshore and offshore Renminbi exchange rates

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  • Hai-Chuan Xu

    (ECUST)

  • Wei-Xing Zhou

    (ECUST)

  • Didier Sornette

    (ETH Zurich)

Abstract

We employ the thermal optimal path method to explore both the long-term and short-term interaction patterns between the onshore CNY and offshore CNH exchange rates (2012-2015). For the daily data, the CNY and CNH exchange rates show a weak alternate lead-lag structure in most of the time periods. When CNY and CNH display a large disparity, the lead-lag relationship is uncertain and depends on the prevailing market factors. The minute-scale interaction pattern between the CNY and CNH exchange rates change over time according to different market situations. We find that US dollar appreciation is associated with a lead-lag relationship running from offshore to onshore, while a (contrarian) Renminbi appreciation is associated with a lead-lag relationship running from onshore to offshore. These results are robust with respect to different sub-sample analyses and variations of the key smoothing parameter of the TOP method.

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  • Hai-Chuan Xu & Wei-Xing Zhou & Didier Sornette, 2018. "Time-dependent lead-lag relationship between the onshore and offshore Renminbi exchange rates," Papers 1803.09432, arXiv.org.
    • Handle: RePEc:arx:papers:1803.09432
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    9. Fengming Qin & Junru Zhang & Zhaoyong Zhang, 2018. "RMB Exchange Rates and Volatility Spillover across Financial Markets in China and Japan," Risks, MDPI, vol. 6(4), pages 1-26, October.
    10. Yang, Yan-Hong & Shao, Ying-Hui, 2020. "Time-dependent lead-lag relationships between the VIX and VIX futures markets," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    11. Yan-Hong Yang & Ying-Hui Shao, 2019. "Time-dependent lead-lag relationships between the VIX and VIX futures markets," Papers 1910.13729, arXiv.org.
    12. Sun, Yuying & Bao, Qin & Zheng, Jiali & Wang, Shouyang, 2020. "Assessing the price dynamics of onshore and offshore RMB markets: An ITS model approach," China Economic Review, Elsevier, vol. 62(C).
    13. Michael Funke & Julius Loermann & Andrew Tsang, 2022. "Volatility transmission and volatility impulse response functions in the main and the satellite Renminbi exchange rate markets," Review of International Economics, Wiley Blackwell, vol. 30(2), pages 606-628, May.
    14. Tian, Shuairu & Gao, Xiang & Cai, Xiaojing, 2023. "The interactive CNY-CNH relationship: A wavelet analysis," Journal of International Money and Finance, Elsevier, vol. 133(C).
    15. Kartikay Gupta & Niladri Chatterjee, 2020. "Examining Lead-Lag Relationships In-Depth, With Focus On FX Market As Covid-19 Crises Unfolds," Papers 2004.10560, arXiv.org, revised May 2020.
    16. repec:zbw:bofitp:2020_022 is not listed on IDEAS
    17. Yao, Can-Zhong & Li, Hong-Yu, 2020. "Time-varying lead–lag structure between investor sentiment and stock market," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    18. Domenico Giovanni & Arturo Leccadito & Marco Pirra, 2021. "On the determinants of data breaches: A cointegration analysis," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(1), pages 141-160, June.
    19. Peng Yue & Yaodong Fan & Jonathan A. Batten & Wei-Xing Zhou, 2020. "Information transfer between stock market sectors: A comparison between the USA and China," Papers 2004.07612, arXiv.org.
    20. Yuan, Xianghui & Jin, Liwei & Lian, Feng, 2021. "The lead–lag relationship between Chinese mainland and Hong Kong stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    21. Qin, Weiguang & Bhattarai, Keshab, 2022. "Influence of Hong Kong RMB offshore market on effectiveness of structural monetary policy in the Mainland China," MPRA Paper 111768, University Library of Munich, Germany, revised 30 Jan 2022.
    22. Xu, Lei. & Hamori, Shigeyuki & Kinkyo, Takuji, 2021. "Continuous wavelet analysis of Chinese renminbi: Co-movement and lead-lag relationship between onshore and offshore exchange rates," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    23. Yousra Trichilli & Mouna Abdelhédi & Mouna Boujelbène Abbes, 2020. "The thermal optimal path model: Does Google search queries help to predict dynamic relationship between investor’s sentiment and indexes returns?," Journal of Asset Management, Palgrave Macmillan, vol. 21(3), pages 261-279, May.
    24. Chen, Yu-Lun & Xu, Ke, 2021. "The impact of RMB’s SDR inclusion on price discovery in onshore-offshore markets," Journal of Banking & Finance, Elsevier, vol. 127(C).
    25. Michael Funke & Julius Loermann & Andrew Tsang, 2022. "Volatility transmission and volatility impulse response functions in the main and the satellite Renminbi exchange rate markets," Review of International Economics, Wiley Blackwell, vol. 30(2), pages 606-628, May.

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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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