IDEAS home Printed from https://ideas.repec.org/a/ris/eaerev/023656.html

Verifying and Ranking Safe-Haven Assets under Different Sources of Shocks: Evidence from a Quantile-Based Triple-Check Framework

Author

Listed:
  • Han Yan

    (Sungkyunkwan University)

  • Heejoon Han

    (Sungkyunkwan University)

Abstract

This paper examines the safe-haven properties of the Japanese yen (JPY), Bitcoin (BTC), gold, and the 10-year U.S. Treasury (UST10Y) under comparable tail-risk conditions. We integrate Granger causality in risk, a VAR-for-VaR model, and the cross-quantilogram into a quantile-based “triple-check” framework to jointly assess risk spillovers, dynamic tail-risk transmission, and contemporaneous tail dependence. Our contribution lies in integrating these three existing tools into a unified, definition-aligned, and structured triangulation exercise for classifying and ranking safe-haven assets. Using daily data from 2012 to 2025, we consider three sources of market stress: equity market downturns (S&P 500), volatility spikes (VIX), and surges in economic policy uncertainty (EPU). The results show that safe-haven performance is shock-specific and timing-specific. Gold consistently exhibits the strongest safe-haven properties across stress scenarios, while the Japanese yen provides limited and context-dependent protection, and Bitcoin displays only weak or conditional safe-haven behavior and never ranks as the most reliable safe-haven. The 10-year Treasury provides strong contemporaneous protection against equity downturns but only weak or conditional protection otherwise.

Suggested Citation

  • Han Yan & Heejoon Han, 2026. "Verifying and Ranking Safe-Haven Assets under Different Sources of Shocks: Evidence from a Quantile-Based Triple-Check Framework," East Asian Economic Review, Korea Institute for International Economic Policy, vol. 30(3), pages 395-435, September.
  • Handle: RePEc:ris:eaerev:023656
    DOI: 10.11644/KIEP.EAER.2026.30.3.470
    as

    Download full text from publisher

    File URL: https://www.eaerweb.org/common/reqFileDown.do?dataType=art&fileNm=JE0001_2026_v30n3_395
    Download Restriction: no

    File URL: https://libkey.io/10.11644/KIEP.EAER.2026.30.3.470?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G01 - Financial Economics - - General - - - Financial Crises
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:eaerev:023656. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: JE Lee (email available below). General contact details of provider: https://edirc.repec.org/data/kieppkr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.