IDEAS home Printed from https://ideas.repec.org/p/hkm/wpaper/132013.html
   My bibliography  Save this paper

Gauging the Safehavenness of Currencies

Author

Listed:
  • Alfred Wong

    (Hong Kong Monetary Authority)

  • Tom Fong

    (Hong Kong Monetary Authority)

Abstract

This study assesses the 'safehavenness' of a number of currencies with a view to providing a better understanding of how capital flows tend to react to sharp increases in global risk aversion during periods of financial crisis. It focuses on how currencies are perceived by dollar-based international investors or, more specifically, whether they are seen as safe-haven or risky currencies. To assess the 'safehavenness' of a currency, we use a measure of risk reversal, which is the price difference between a call and put option of a currency. This measures how disproportionately market participants are willing to pay to hedge against appreciation or depreciation of the currency. The relationship between the risk reversal of a currency and global risk aversion is estimated by means of both parametric and non-parametric regressions which allow us to capture the relationship in times of extreme adversity, i.e., tail risk. Our empirical results suggest that the Japanese yen and, to a lesser extent, the Hong Kong dollar are the only safe haven currencies under stressful conditions out of 34 currencies vis-a-vis the US dollar.

Suggested Citation

  • Alfred Wong & Tom Fong, 2013. "Gauging the Safehavenness of Currencies," Working Papers 132013, Hong Kong Institute for Monetary Research.
  • Handle: RePEc:hkm:wpaper:132013
    as

    Download full text from publisher

    File URL: http://www.hkimr.org/uploads/publication/358/wp-no-13_2013-final-.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Guarda, Paolo & Rouabah, Abdelaziz & Theal, John, 2012. "An MVAR framework to capture extreme events in macro-prudential stress tests," Working Paper Series 1464, European Central Bank.
    2. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    3. Tom Pak-wing Fong & Chun-shan Wong, 2008. "Stress Testing Banks' Credit Risk Using Mixture Vector Autoregressive Models," Working Papers 0813, Hong Kong Monetary Authority.
    4. Habib, Maurizio M. & Stracca, Livio, 2012. "Getting beyond carry trade: What makes a safe haven currency?," Journal of International Economics, Elsevier, vol. 87(1), pages 50-64.
    5. Marion Kohler, 2010. "Exchange rates during financial crises," BIS Quarterly Review, Bank for International Settlements, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:bla:reviec:v:25:y:2017:i:4:p:924-947 is not listed on IDEAS

    More about this item

    Keywords

    Safe Haven Currency; Risk Reversal; Quantile Regression; Mixture Vector Autoregressive Models; Tail Risk; Crash Risk;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hkm:wpaper:132013. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (HKIMR). General contact details of provider: http://edirc.repec.org/data/hkimrhk.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.