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Review of Finance
Article . 2010 . Peer-reviewed
Data sources: Crossref
SSRN Electronic Journal
Article . 2009 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.5167/uzh...
Other literature type . 2010
Data sources: Datacite
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Safe Haven Currencies

Authors: Ranaldo, Angelo; Söderlind, Paul;

Safe Haven Currencies

Abstract

Abstract We study high-frequency exchange rates over the period 1993–2008. Based on the recent literature on volatility and liquidity risk premia, we use a factor model to capture linear and non-linear linkages between currencies, stock and bond markets as well as proxies for market volatility and liquidity. We document that the Swiss franc and Japanese yen appreciate against the US dollar when US stock prices decrease and US bond prices and FX volatility increase. These safe haven properties materialise over different time granularities (from a few hours to several days) and non-linearly with the volatility factor and during crises. The latter effects were particularly discernible for the yen during the recent financial crisis.

Country
Switzerland
Keywords

1402 Accounting, high-frequency data, crisis episodes, non-linear effects, 330, 10003 Department of Finance, 2002 Economics and Econometrics, economics, 330 Economics, 2003 Finance, crisis episodes; high-frequency data; non-linear effects, jel: jel:F31, jel: jel:G15

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    349
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
349
Top 0.1%
Top 1%
Top 10%
Green