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Incorporating the RMB internationalization effect into its exchange rate volatility forecasting

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  • Ding, Shusheng
  • Cui, Tianxiang
  • Zhang, Yongmin

Abstract

Recently, the Chinese government has launched the renminbi (RMB) internationalization policy as an impetus to foster China’s global economic integration. The RMB internationalization effect on China’s economy and the RMB exchange rate has attracted massive attention in recent financial research. In this paper, we adopt a genetic programming (GP) method to generate new RMB exchange rate volatility forecasting models incorporating the RMB internationalization effect. Our models are proved to have significant accuracy improvement in predicting both RMB/US dollar and RMB/euro exchange rate volatilities, compared with standard GARCH volatility models, which are incapable of capturing the RMB internationalization effect. Furthermore, our models display salient practical implications for policy makers to formulate monetary policies and currency traders to design effective trading strategies.

Suggested Citation

  • Ding, Shusheng & Cui, Tianxiang & Zhang, Yongmin, 2020. "Incorporating the RMB internationalization effect into its exchange rate volatility forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    • Handle: RePEc:eee:ecofin:v:54:y:2020:i:c:s1062940819302840
    DOI: 10.1016/j.najef.2019.101103
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    Cited by:

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    3. Anwer, Zaheer & Khan, Ashraf & Kabir Hassan, M. & Rashid, Mamunur, 2022. "Does the regional proximity lead to exchange rate spillover?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    4. Zhang, Yongmin & Sun, Yiru, 2023. "Did U.S. and Chinese investors respond differently to the exogenous shocks from COVID-19 and the war in Ukraine?," International Review of Financial Analysis, Elsevier, vol. 88(C).
    5. Yang‐Chao Wang & Jui‐Jung Tsai & Shushu Li & Yiying Huang, 2023. "The impacts of RMB internationalization on onshore and offshore RMB markets," International Review of Finance, International Review of Finance Ltd., vol. 23(3), pages 502-523, September.
    6. Zhang, Yongmin & Wang, Ruizhi, 2022. "COVID-19 impact on commodity futures volatilities," Finance Research Letters, Elsevier, vol. 47(PA).
    7. Chunming Shen, 2022. "Digital RMB, RMB Internationalization and Sustainable Development of the International Monetary System," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    8. Wang, Fan & Pan, Changchun & Wang, Weiqiang, 2023. "Impact of US monetary policy uncertainty on RMB exchange rate volatility:The role of international capital flows," Finance Research Letters, Elsevier, vol. 58(PC).
    9. Cui, Tianxiang & Ding, Shusheng & Jin, Huan & Zhang, Yongmin, 2023. "Portfolio constructions in cryptocurrency market: A CVaR-based deep reinforcement learning approach," Economic Modelling, Elsevier, vol. 119(C).

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    More about this item

    Keywords

    RMB internationalization; Exchange rate; Volatility forecasting; Genetic programming;
    All these keywords.

    JEL classification:

    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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