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Is the Kimchi premium a speculative bubble?

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  • Ok, Hyunmin
  • Kim, Jinyong
  • Kim, Yongsik

Abstract

This study investigates whether the Kimchi premium, the phenomenon in which the Bitcoin price in Korea is persistently higher than the United States price, reflects a speculative bubble. Eom (2021) argued that the Kimchi premium is a bubble, evidenced by its positive relationship with trading volume and price volatility estimated from unconditional regressions. We re-examine this evidence by estimating and testing time-varying coefficients using nonparametric regressions and bootstrap confidence intervals. Our results show that the positive relationship is not robust over time, suggesting that we do not yet have clear evidence to conclude that the Kimchi premium is a bubble.

Suggested Citation

  • Ok, Hyunmin & Kim, Jinyong & Kim, Yongsik, 2023. "Is the Kimchi premium a speculative bubble?," Finance Research Letters, Elsevier, vol. 57(C).
    • Handle: RePEc:eee:finlet:v:57:y:2023:i:c:s1544612323005792
    DOI: 10.1016/j.frl.2023.104207
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    References listed on IDEAS

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    1. Ang, Andrew & Kristensen, Dennis, 2012. "Testing conditional factor models," Journal of Financial Economics, Elsevier, vol. 106(1), pages 132-156.
    2. Eom, Yunsung, 2021. "Kimchi premium and speculative trading in bitcoin," Finance Research Letters, Elsevier, vol. 38(C).
    3. Wei Xiong & Jialin Yu, 2011. "The Chinese Warrants Bubble," American Economic Review, American Economic Association, vol. 101(6), pages 2723-2753, October.
    4. Wei Xiong & Jialin Yu, 2011. "The Chinese Warrants Bubble," Working Papers 1398, Princeton University, Department of Economics, Econometric Research Program..
    5. Lee, Jangyoun & Oh, Taehee, 2022. "The Kimchi premium and bitcoin-cashing outlets," Finance Research Letters, Elsevier, vol. 50(C).
    6. Jose A. Scheinkman & Wei Xiong, 2003. "Overconfidence and Speculative Bubbles," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1183-1219, December.
    7. Zhou Zhou & Wei Biao Wu, 2010. "Simultaneous inference of linear models with time varying coefficients," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(4), pages 513-531, September.
    8. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    9. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    10. Baillie, Richard T. & Kim, Kun Ho, 2015. "Was it risk? Or was it fundamentals? Explaining excess currency returns with kernel smoothed regressions," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 99-111.
    11. J. Michael Harrison & David M. Kreps, 1978. "Speculative Investor Behavior in a Stock Market with Heterogeneous Expectations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 92(2), pages 323-336.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Kimchi premium; Bubble; Trading volume; Volatility; Time-varying coefficients;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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