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The Role of Unobservable Fundamentals in Korea Exchange Rate Fluctuations: Bayesian Approach

Author

Listed:
  • Young Min Kim

    (Department of Economics, Korea University)

  • Seojin Lee

    (School of Finance, Shanghai Lixin University)

Abstract

Recent literature emphasizes the role of unobservable fundamentals in exchange rate movements. Within the state-space model and the Bayesian approach, proposed by Balke et al. (2013), we find that unobservable fundamentals, such as the risk premium, the deviation from the purchasing power parity, and money demand shifters explain most of the Korea exchange rate fluctuations. In contrast, observed monetary fundamentals have much less effect. This result implies that Korean exchange rate movements are closely related to market expectations or sudden capital flows, rather than economic fundamentals.

Suggested Citation

  • Young Min Kim & Seojin Lee, 2017. "The Role of Unobservable Fundamentals in Korea Exchange Rate Fluctuations: Bayesian Approach," Economic Analysis (Quarterly), Economic Research Institute, Bank of Korea, vol. 23(3), pages 1-22, September.
    • Handle: RePEc:bok:journl:v:23:y:2017:i:3:p:1-22
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    References listed on IDEAS

    as
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    2. Engel, Charles, 2014. "Exchange Rates and Interest Parity," Handbook of International Economics, in: Gopinath, G. & Helpman, . & Rogoff, K. (ed.), Handbook of International Economics, edition 1, volume 4, chapter 0, pages 453-522, Elsevier.
    3. Barbara Rossi, 2013. "Exchange Rate Predictability," Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1063-1119, December.
    4. Mark, Nelson C. & Sul, Donggyu, 2001. "Nominal exchange rates and monetary fundamentals: Evidence from a small post-Bretton woods panel," Journal of International Economics, Elsevier, vol. 53(1), pages 29-52, February.
    5. Balke, Nathan S. & Ma, Jun & Wohar, Mark E., 2013. "The contribution of economic fundamentals to movements in exchange rates," Journal of International Economics, Elsevier, vol. 90(1), pages 1-16.
    6. Yu-chin Chen & Kwok Ping Tsang, 2013. "What Does the Yield Curve Tell Us about Exchange Rate Predictability?," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 185-205, March.
    7. Charles Engel & Kenneth D. West, 2005. "Exchange Rates and Fundamentals," Journal of Political Economy, University of Chicago Press, vol. 113(3), pages 485-517, June.
    8. Molodtsova, Tanya & Papell, David H., 2009. "Out-of-sample exchange rate predictability with Taylor rule fundamentals," Journal of International Economics, Elsevier, vol. 77(2), pages 167-180, April.
    9. Cheung, Yin-Wong & Chinn, Menzie D. & Pascual, Antonio Garcia, 2005. "Empirical exchange rate models of the nineties: Are any fit to survive?," Journal of International Money and Finance, Elsevier, vol. 24(7), pages 1150-1175, November.
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    11. Markus K. Brunnermeier & Stefan Nagel & Lasse H. Pedersen, 2009. "Carry Trades and Currency Crashes," NBER Chapters, in: NBER Macroeconomics Annual 2008, Volume 23, pages 313-347, National Bureau of Economic Research, Inc.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Bayesian MCMC algorithm; Exchange rate; Unobservable fundamentals; Currency risk premium; Capital flows;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • F3 - International Economics - - International Finance

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