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Macroeconomic surprises, market environment, and safe-haven currencies

Author

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  • Adrian Jäggi

    (University of St. Gallen, Department of Economics)

  • Martin Schlegel

    (Alternate Member of the Governing Board, Swiss National Bank)

  • Attilio Zanetti

    (Economic Analysis Unit, Swiss National Bank, and University of Basel)

Abstract

We study the reaction of the CHF and JPY to macroeconomic surprises and changes in the broader market environment before and during the crisis using high-frequency data. Results show that the CHF and JPY are traditionally more sensitive to macroeconomic surprises than other currencies, reflecting the fact that macroeconomic surprises impact uncertainty and risk aversion. This link was further magnified during the crisis and could not be broken by the specific measures adopted by monetary authorities to limit the appreciation trend. We also find some evidence that, during the crisis, CHF and JPY responded more strongly to surprises generating an appreciation than to surprises leading to a depreciation. Additionally, both currencies also systematically respond to changes in the general market environment. This result is robust to the use of two measures of the market environment: VIX and on a novel index based on Bloomberg wires.

Suggested Citation

  • Adrian Jäggi & Martin Schlegel & Attilio Zanetti, 2019. "Macroeconomic surprises, market environment, and safe-haven currencies," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 155(1), pages 1-21, December.
  • Handle: RePEc:spr:sjecst:v:155:y:2019:i:1:d:10.1186_s41937-019-0031-9
    DOI: 10.1186/s41937-019-0031-9
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    Cited by:

    1. Marco Tronzano, 2020. "Safe-Haven Assets, Financial Crises, and Macroeconomic Variables: Evidence from the Last Two Decades (2000–2018)," JRFM, MDPI, vol. 13(3), pages 1-21, February.
    2. Dr. Enzo Rossi & Vincent Wolff, 2020. "Spillovers to exchange rates from monetary and macroeconomic communications events," Working Papers 2020-18, Swiss National Bank.
    3. Dr. Fabian Fink & Dr. Lukas Frei & Dr. Oliver Gloede, 2020. "Short-term determinants of bilateral exchange rates: A decomposition model for the Swiss franc," Working Papers 2020-21, Swiss National Bank.
    4. Lyócsa, Štefan & Molnár, Peter & Plíhal, Tomáš & Širaňová, Mária, 2020. "Impact of macroeconomic news, regulation and hacking exchange markets on the volatility of bitcoin," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    5. Konstantin Büchel & Stefan Legge & Vincent Pochon & Philipp Wegmüller, 2020. "Swiss trade during the COVID-19 pandemic: an early appraisal," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-15, December.
    6. Fink, Fabian & Frei, Lukas & Gloede, Oliver, 2022. "Global risk sentiment and the Swiss franc: A time-varying daily factor decomposition model," Journal of International Money and Finance, Elsevier, vol. 122(C).
    7. Beirne, John & Sugandi, Eric, 2023. "Risk-off shocks and spillovers in safe havens," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    8. Katerina Rigana & Ernst-Jan Camiel Wit & Samantha Cook, 2021. "Using Network-based Causal Inference to Detect the Sources of Contagion in the Currency Market," Papers 2112.13127, arXiv.org.

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    More about this item

    Keywords

    Safe-haven currencies; Swiss franc; Yen; Macroeconomic surprises; Risk;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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