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Tales of tails: Jumps in currency markets

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  • Lee, Suzanne S.
  • Wang, Minho

Abstract

We investigate the predictability of jumps in currency markets and show the implications for carry trades. Formulating new currency jump analyses, we propose a general method to estimate the determinants of jump sizes and intensities at various frequencies. We employ a large panel of high-frequency data and identify significant predictive relationships between currency jumps and national characteristics. In addition, we find the patterns of intraday jumps (i.e., multiple currency jump clustering and time-of-day effects). Macroeconomic information releases in the United States, particularly FOMC announcements, lead to currency jumps. Using these jump predictors, investors can construct jump-robust carry trades to mitigate left-tail risks.

Suggested Citation

  • Lee, Suzanne S. & Wang, Minho, 2020. "Tales of tails: Jumps in currency markets," Journal of Financial Markets, Elsevier, vol. 48(C).
  • Handle: RePEc:eee:finmar:v:48:y:2020:i:c:s138641811830243x
    DOI: 10.1016/j.finmar.2019.05.002
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    More about this item

    Keywords

    Jump prediction; Jump-robust carry trade; General jump regression; High-frequency exchange rate data;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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