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Can Economic Policy Uncertainty Predict Exchange Rate And Its Volatility? Evidence From Asean Countries

Author

Listed:
  • Solikin M. Juhro

    (Bank Indonesia)

  • Dinh Hoang Bach Phan

    (Taylor’s University)

Abstract

This paper examines whether global Economic Policy Uncertainty (EPU) predicts exchange rates and their volatility in ten ASEAN countries using monthly data from January 1997 to December 2017. Applying the predictive regression model of Westerlund and Narayan (2012, 2015), we find that EPU positively and statistically significantly predicts the exchange rates of six out of ten currencies. A one standard deviation increase in the EPU index leads to a depreciation of between 0.050% and 2.047% in these currencies. Moreover, EPU predicts exchange rate volatility for all ten ASEAN countries. Their exchange rate volatilities increase by between 0.107% and 0.645% as a result of a one standard deviation increase in the EPU index. These results are robust to different forecasting horizons and subsample periods, and after controlling for the Global Financial Crisis.

Suggested Citation

  • Solikin M. Juhro & Dinh Hoang Bach Phan, 2018. "Can Economic Policy Uncertainty Predict Exchange Rate And Its Volatility? Evidence From Asean Countries," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 21(2), pages 1-18, October.
    • Handle: RePEc:idn:journl:v:21:y:2018:i:2:p:1-18
    DOI: https://doi.org/10.21098/bemp.v21i2.974
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    Citations

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    Cited by:

    1. Sharma, Susan Sunila & Bach Phan, Dinh Hoang & Narayan, Paresh Kumar, 2019. "Exchange rate effects of US government shutdowns: Evidence from both developed and emerging markets," Emerging Markets Review, Elsevier, vol. 40(C), pages 1-1.
    2. Narayan, Paresh Kumar, 2019. "Can stale oil price news predict stock returns?," Energy Economics, Elsevier, vol. 83(C), pages 430-444.
    3. Narayan, Paresh Kumar & Sharma, Susan Sunila & Phan, Dinh Hoang Bach & Liu, Guangqiang, 2020. "Predicting exchange rate returns," Emerging Markets Review, Elsevier, vol. 42(C).
    4. Sha, Yezhou & Gao, Ran, 2019. "Which is the best: A comparison of asset pricing factor models in Chinese mutual fund industry," Economic Modelling, Elsevier, vol. 83(C), pages 8-16.
    5. Zhou, Zhongbao & Fu, Zhangyan & Jiang, Yong & Zeng, Ximei & Lin, Ling, 2020. "Can economic policy uncertainty predict exchange rate volatility? New evidence from the GARCH-MIDAS model," Finance Research Letters, Elsevier, vol. 34(C).
    6. Victor Shevchuk & Roman Kopych, 2021. "Exchange Rate Volatility, Currency Misalignment, and Risk of Recession in the Central and Eastern European Countries," Risks, MDPI, vol. 9(5), pages 1-19, May.
    7. Maud Korley & Evangelos Giouvris, 2023. "Does Economic Policy Uncertainty Explain Exchange Rate Movements in the Economic Community of West African States (ECOWAS): A Panel ARDL Approach," IJFS, MDPI, vol. 11(4), pages 1-22, November.
    8. Yin, Xiao-Cui & Li, Xin & Wang, Min-Hui & Qin, Meng & Shao, Xue-Feng, 2021. "Do economic policy uncertainty and its components predict China's housing returns?," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    9. Bush, Georgia & López Noria, Gabriela, 2021. "Uncertainty and exchange rate volatility: Evidence from Mexico," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 704-722.

    More about this item

    Keywords

    Economic Policy Uncertainty; Predictability; Exchange Rate; ASEAN;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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