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Research on the Correlation between the Exchange Rate of Offshore RMB and the Stock Index Futures

Author

Listed:
  • Zhi Yang

    (College of Mathematics and Statistics, Yili Normal University, Yining 835000, China
    Institute of Applied Mathematics, Yili Normal University, Yining 835000, China)

  • Zhao Fei

    (College of Mathematics and Statistics, Yili Normal University, Yining 835000, China)

  • Jing Wang

    (College of Mathematics and Statistics, Yili Normal University, Yining 835000, China
    Institute of Applied Mathematics, Yili Normal University, Yining 835000, China)

Abstract

The offshore RMB exchange rate is affected by the supply and demand relationship in the international market, investor sentiment, market liquidity, and other factors, while the onshore RMB exchange rate is mainly affected by government regulation and intervention. Therefore, the offshore RMB exchange rate may be a better reflection of the market’s macroeconomic expectations and risk appetite for China. Stock index futures are mainly affected by macroeconomic factors, so studying the correlation between the offshore RMB exchange rate and stock index futures is helpful for risk management, hedging, and price discovery. In this study, we selected the offshore RMB exchange rate, the volume of stock index futures, and the absolute rate of return as variables of investor sentiment. Through the Granger causality test, impulse response function, and variance decomposition, we studied the correlation between the rate of return of stock index futures and the rate of return of the offshore RMB exchange rate. Furthermore, we constructed a GARCH conditional volatility model. It was concluded that the trading volume and the absolute rate of return of stock index futures could explain the price fluctuations of stock index futures very well. A change in the offshore RMB exchange rate yield causes a change in the yield of stock index futures. Policymakers need to pay close attention to changes in the offshore RMB exchange rate in order to better grasp market trends and manage risks accordingly.

Suggested Citation

  • Zhi Yang & Zhao Fei & Jing Wang, 2024. "Research on the Correlation between the Exchange Rate of Offshore RMB and the Stock Index Futures," Mathematics, MDPI, vol. 12(5), pages 1-15, February.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:5:p:695-:d:1347231
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    References listed on IDEAS

    as
    1. Min Liu & Wei‐Chong Choo & Chi‐Chuan Lee & Chien‐Chiang Lee, 2023. "Trading volume and realized volatility forecasting: Evidence from the China stock market," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 76-100, January.
    2. Chuang, Chia-Chang & Kuan, Chung-Ming & Lin, Hsin-Yi, 2009. "Causality in quantiles and dynamic stock return-volume relations," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1351-1360, July.
    3. Dong He & Robert N. McCauley, 2010. "Offshore Markets for the Domestic Currency: Monetary and Financial Stability Issues," Working Papers 1002, Hong Kong Monetary Authority.
    4. Yanping Zhao & Zaghum Umar & Xuan Vinh Vo, 2021. "Return and volatility connectedness of Chinese onshore, offshore, and forward exchange rate," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(11), pages 1843-1860, November.
    5. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    6. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-155, January.
    7. Copeland, Thomas E, 1976. "A Model of Asset Trading under the Assumption of Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 31(4), pages 1149-1168, September.
    8. Garman, Mark B & Klass, Michael J, 1980. "On the Estimation of Security Price Volatilities from Historical Data," The Journal of Business, University of Chicago Press, vol. 53(1), pages 67-78, January.
    Full references (including those not matched with items on IDEAS)

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