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Macroeconomic surprises, market environment and safe-haven currencies

Author

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  • Adrian Jäggi
  • Martin Schlegel
  • Dr. Attilio Zanetti

Abstract

In this paper, 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. We show that both currencies are traditionally highly sensitive to macroeconomic surprises. This link, however, was significantly magnified during the crisis and effects persisted during times when monetary authorities implemented specific measures to limit the appreciation trend. We also find some evidence that, during the crisis, the CHF and JPY tended to respond more strongly to surprises generating an appreciation than to surprises leading to a depreciation. 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. Finally, our results suggest that negative macroeconomic surprises and deteriorations in the market environment are two distinct channels generating appreciation pressure on these two safe-haven currencies.

Suggested Citation

  • Adrian Jäggi & Martin Schlegel & Dr. Attilio Zanetti, 2016. "Macroeconomic surprises, market environment and safe-haven currencies," Working Papers 2016-15, Swiss National Bank.
  • Handle: RePEc:snb:snbwpa:2016-15
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    References listed on IDEAS

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    Cited by:

    1. Rigana, Katerina & Wit, Ernst-Jan Camiel & Cook, Samantha, 2023. "A new way of measuring effects of financial crisis on contagion in currency markets," International Review of Financial Analysis, Elsevier, vol. 90(C).
    2. 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.
    3. 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.
    4. Beirne, John & Sugandi, Eric, 2023. "Risk-off shocks and spillovers in safe havens," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    5. Dr. Enzo Rossi & Vincent Wolff, 2020. "Spillovers to exchange rates from monetary and macroeconomic communications events," Working Papers 2020-18, Swiss National Bank.
    6. 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.
    7. 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).
    8. 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.
    9. 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).

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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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