2022
DOI: 10.1016/j.jimonfin.2021.102539
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Global risk sentiment and the Swiss franc: A time-varying daily factor decomposition model

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Cited by 3 publications
(4 citation statements)
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“…Although all currencies denote strong defensive powers, the US dollar and the Swiss franc emerge as top performers hedging instruments. Overall, this empirical evidence is in line with a large proportion of the recent work surveyed in Section 2, which draws on a large set of different econometric approaches (Lee 2017;Chan et al 2018;Cho and Han 2021;Tachibana 2022;Fink et al 2022).…”
Section: Empirical Evidencesupporting
confidence: 80%
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“…Although all currencies denote strong defensive powers, the US dollar and the Swiss franc emerge as top performers hedging instruments. Overall, this empirical evidence is in line with a large proportion of the recent work surveyed in Section 2, which draws on a large set of different econometric approaches (Lee 2017;Chan et al 2018;Cho and Han 2021;Tachibana 2022;Fink et al 2022).…”
Section: Empirical Evidencesupporting
confidence: 80%
“…Using a simple regression approach with crises dummies, Kopyl and Lee (2016) showed that the yen stands out as one of the strongest safe-haven investments over a long time-span (1964-2014). Using a factor model to decompose short-term exchangerate dynamics, Fink et al (2022) highlighted the role of the Swiss franc as a safe-haven currency. Other quantitative contributions found that the above currencies simultaneously qualify as safe-haven currencies using various Markov-Switching approaches (Lee 2017;Balcilar et al 2020).…”
mentioning
confidence: 99%
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“…The strong evidence in support of the Swiss Franc as an important safe haven currency involves all latest empirical contributions. Quite interestingly, this research relies on a variety of methodological approaches, ranging from cross-quantilogram analysis (Cho and Han 2021) to time-varying factor decomposition models (Fink et al 2022) and a regimeswitching factor copula approach, implemented on a large number of assets and developed and emerging stock markets (Tachibana 2022).…”
Section: Literature Reviewmentioning
confidence: 99%