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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

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    References listed on IDEAS

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    2. Fong, Tom Pak Wing & Wong, Alfred Y-T., 2012. "Gauging potential sovereign risk contagion in Europe," Economics Letters, Elsevier, vol. 115(3), pages 496-499.
    3. Paolo Guarda & Abdelaziz Rouabah & John Theal, 2011. "An MVAR Framework to Capture Extreme Events in Macroprudential Stress Tests," BCL working papers 63, Central Bank of Luxembourg.
    4. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    5. 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.
    6. 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.
    7. 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.
    8. Marion Kohler, 2010. "Exchange rates during financial crises," BIS Quarterly Review, Bank for International Settlements, March.
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    Cited by:

    1. Kang-Soek Lee, 2017. "Safe-haven currency: An empirical identification," Review of International Economics, Wiley Blackwell, vol. 25(4), pages 924-947, September.
    2. Virginie Coudert & Cyriac Guillaumin & Hélène Raymond, 2014. "Looking at the other side of carry trades: Are there any safe haven currencies?," Working Papers hal-04141355, HAL.

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    More about this item

    Keywords

    Safe Haven Currency; Risk Reversal; Quantile Regression; Mixture Vector Autoregressive Models; Tail Risk; Crash Risk;
    All these keywords.

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