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What drives fluctuations in exchange rate growth in emerging markets – A multi-level dynamic factor approach

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  • Liu, Clark
  • Wang, Ben Zhe
  • Wang, Huanhuan
  • Zhang, Ji

Abstract

Historically, exchange rates in many emerging economies have been volatile. We use a dynamic hierarchical factor model to investigate the driving forces behind these fluctuations in exchange rate growth and find that in recent years, especially since the Great Recession, the common (world) factor has become more important. We also find that, since 2009, US monetary policy and Chinese economic growth have had much greater effects on emerging market exchange rate growth fluctuations. The historical decomposition indicates that 18.8% and 23% of the variations in the world factor after 2009 can be explained by US monetary policy shock and Chinese industrial production shock, respectively.

Suggested Citation

  • Liu, Clark & Wang, Ben Zhe & Wang, Huanhuan & Zhang, Ji, 2019. "What drives fluctuations in exchange rate growth in emerging markets – A multi-level dynamic factor approach," Economic Systems, Elsevier, vol. 43(2), pages 1-1.
    • Handle: RePEc:eee:ecosys:v:43:y:2019:i:2:7
    DOI: 10.1016/j.ecosys.2019.100696
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    Cited by:

    1. Liu, Tie-Ying & Lin, Ye, 2024. "Who has mastered exchange rate ups and downs: China or the United States?," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    2. Xing Yu & Yanyan Li & Xinxin Wang, 2024. "RMB exchange rate forecasting using machine learning methods: Can multimodel select powerful predictors?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 644-660, April.
    3. Feng, Qianqian & Sun, Xiaolei & Liu, Chang & Li, Jianping, 2021. "Spillovers between sovereign CDS and exchange rate markets: The role of market fear," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    4. Goutam Sutar & Krantiraditya Dhalmahapatra & Sayan Chakraborty, 2023. "Impact of India’s Demonetization Episode on its Equity Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(4), pages 649-675, December.
    5. Ponomareva, Natalia & Sheen, Jeffrey & Wang, Ben Zhe, 2019. "Forecasting exchange rates using principal components," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).

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    Keywords

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    JEL classification:

    • F3 - International Economics - - International Finance
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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