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Investigating asymmetric determinants of the CNY–CNH exchange rate spreads: The role of economic policy uncertainty

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  • Li, Xiao-Lin
  • Li, Xin
  • Si, Deng-Kui

Abstract

This study investigates the asymmetric effects of economic policy uncertainty (EPU) and other possible determinants on the CNY–CNH spreads by utilizing the nonlinear ARDL model. For this purpose, we construct a novel EPU index based on the EPU indices of China and the G7 countries by using principal component analysis. The results show substantial asymmetric effects of the concerned determinants on the spreads. Moreover, the composite EPU significantly affects the spreads, with positive shocks to the composite EPU inducing widening CNY–CNH spreads.

Suggested Citation

  • Li, Xiao-Lin & Li, Xin & Si, Deng-Kui, 2020. "Investigating asymmetric determinants of the CNY–CNH exchange rate spreads: The role of economic policy uncertainty," Economics Letters, Elsevier, vol. 186(C).
  • Handle: RePEc:eee:ecolet:v:186:y:2020:i:c:s0165176519304185
    DOI: 10.1016/j.econlet.2019.108827
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    References listed on IDEAS

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    1. Mr. R. S Craig & Mr. Changchun Hua & Philip Ng & Raymond Yuen, 2013. "Development of the Renminbi Market in Hong Kong SAR: Assessing Onshore-Offshore Market Integration," IMF Working Papers 2013/268, International Monetary Fund.
    2. David K. Ding & Yiuman Tse & Michael R. Williams, 2014. "The Price Discovery Puzzle in Offshore Yuan Trading: Different Contributions for Different Contracts," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(2), pages 103-123, February.
    3. Mehmet Balcilar & Rangan Gupta & Clement Kyei & Mark E. Wohar, 2016. "Does Economic Policy Uncertainty Predict Exchange Rate Returns and Volatility? Evidence from a Nonparametric Causality-in-Quantiles Test," Open Economies Review, Springer, vol. 27(2), pages 229-250, April.
    4. Fatum, Rasmus & Pedersen, Jesper & Sørensen, Peter Norman, 2013. "The intraday effects of central bank intervention on exchange rate spreads," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 103-117.
    5. Han, Liyan & Xu, Yang & Yin, Libo, 2018. "Forecasting the CNY-CNH pricing differential: The role of investor attention," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 232-247.
    6. Kido, Yosuke, 2016. "On the link between the US economic policy uncertainty and exchange rates," Economics Letters, Elsevier, vol. 144(C), pages 49-52.
    7. Funke, Michael & Shu, Chang & Cheng, Xiaoqiang & Eraslan, Sercan, 2015. "Assessing the CNH–CNY pricing differential: Role of fundamentals, contagion and policy," Journal of International Money and Finance, Elsevier, vol. 59(C), pages 245-262.
    8. Beckmann, Joscha & Czudaj, Robert, 2017. "Exchange rate expectations and economic policy uncertainty," European Journal of Political Economy, Elsevier, vol. 47(C), pages 148-162.
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    Cited by:

    1. 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.
    2. Li, Xin & Li, Zheng & Su, Chi-Wei & Umar, Muhammad & Shao, Xuefeng, 2022. "Exploring the asymmetric impact of economic policy uncertainty on China's carbon emissions trading market price: Do different types of uncertainty matter?," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    3. Lin Liu, 2022. "Economic Uncertainty and Exchange Market Pressure: Evidence From China," SAGE Open, , vol. 12(1), pages 21582440211, January.
    4. Xin Li, 2022. "Dynamic spillovers between U.S. climate policy uncertainty and global foreign exchange markets: the pass-through effect of crude oil prices," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 665-673, December.
    5. Anna A. Gainetdinova, 2023. "Asymmetric Impact of Geopolitical Risk and Economic Policy Uncertainty on Russian Ruble Exchange Rate," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 22(2), pages 270-293.
    6. Liu, Yiye & Han, Liyan & Wu, You, 2022. "Can skewness predict CNY-CNH spread?," Finance Research Letters, Elsevier, vol. 46(PB).
    7. Xiaoping Li & Zhipeng Zhang & Junyu Pan & Jihong Duan, 2023. "Investor attention and the predictability of the volatility of CNY‐CNH spreads: Evidence from a GARCH‐MIDAS model," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(5), pages 4939-4959, December.

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    More about this item

    Keywords

    Exchange rate spreads; Economic policy uncertainty; Onshore–offshore FX markets; Nonlinear ARDL model;
    All these keywords.

    JEL classification:

    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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