IDEAS home Printed from https://ideas.repec.org/a/ses/arsjes/2005-iv-2.html
   My bibliography  Save this article

A Strange Animal? The Swiss Franc Exchange Rate as a "Captured" Random Walk

Author

Listed:
  • Christian Jochum
  • Marcel R. Savioz

Abstract

The paper aims to describe the behavior of the Swiss Franc - Deutsch Mark exchange rate between January 1980 and December 1998. Contrary to research results provided for other currencies a random walk is not sufficient to describe the empirical characteristics of the Swiss Franc. A regime switching approach shows that changes in the spot rate levels alternate between two regimes: a random walk and an autoregressive process. Mean reverting forces exist that "capture" the random walk within elastic bounds. Equally, we find that the volatility of the process is better described by a regime switching model and that low levels of volatility are associated with exchange rate movements close to a level of 0.80 SFR per DEM.

Suggested Citation

  • Christian Jochum & Marcel R. Savioz, 2005. "A Strange Animal? The Swiss Franc Exchange Rate as a "Captured" Random Walk," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 141(IV), pages 527-553, December.
    • Handle: RePEc:ses:arsjes:2005-iv-2
    as

    Download full text from publisher

    File URL: http://www.sjes.ch/papers/2005-IV-2.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    2. Baum, Christopher F. & Barkoulas, John T. & Caglayan, Mustafa, 2001. "Nonlinear adjustment to purchasing power parity in the post-Bretton Woods era," Journal of International Money and Finance, Elsevier, vol. 20(3), pages 379-399, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bruno Thiago Tomio & Guillaume Vallet, 2021. "Carry Trade and Negative Policy Rates in Switzerland : Low-lying fog or storm ?," Post-Print halshs-03669561, HAL.
    2. Vallet, Guillaume, 2016. "The role of the swiss franc in Switzerland’s European stance," Research in International Business and Finance, Elsevier, vol. 38(C), pages 35-44.
    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. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carlo Altavilla & Paul De Grauwe, 2010. "Non-linearities in the relation between the exchange rate and its fundamentals," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(1), pages 1-21.
    2. Uctum, Remzi, 2007. "Économétrie des modèles à changement de régimes : un essai de synthèse," L'Actualité Economique, Société Canadienne de Science Economique, vol. 83(4), pages 447-482, décembre.
    3. Shively, Gerald E., 2001. "Price thresholds, price volatility, and the private costs of investment in a developing country grain market," Economic Modelling, Elsevier, vol. 18(3), pages 399-414, August.
    4. Mohsen Bahmani-Oskooee & Tsangyao Chang & Kuei-Chiu Lee, 2016. "Panel asymmetric nonlinear unit root test and PPP in Africa," Applied Economics Letters, Taylor & Francis Journals, vol. 23(8), pages 554-558, May.
    5. Sarah Arndt & Zeno Enders, 2023. "The Transmission of Supply Shocks in Different Inflation Regimes," CESifo Working Paper Series 10839, CESifo.
    6. Daniel Buncic, 2012. "Understanding forecast failure of ESTAR models of real exchange rates," Empirical Economics, Springer, vol. 43(1), pages 399-426, August.
    7. Michael Artis, 1999. "The UK and EMU," Palgrave Macmillan Books, in: David Cobham & George Zis (ed.), From EMS to EMU: 1979 to 1999 and Beyond, chapter 7, pages 161-180, Palgrave Macmillan.
    8. Xiang Lin & Martin Thomas Falk, 2022. "Nordic stock market performance of the travel and leisure industry during the first wave of Covid-19 pandemic," Tourism Economics, , vol. 28(5), pages 1240-1257, August.
    9. Moerman, G.A., 2001. "Unpredictable After All? A short note on exchange rate predictability," ERIM Report Series Research in Management ERS-2001-29-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    10. Peter McAdam, 2007. "USA, Japan and the Euro Area: Comparing Business-Cycle Features," International Review of Applied Economics, Taylor & Francis Journals, vol. 21(1), pages 135-156.
    11. Venus Khim-Sen Liew & Hock-Ann Lee & Kian-Ping Lim & Huay-Huay Lee, 2008. "Linearity and Stationarity of South Asian Real Exchange Rates," The IUP Journal of Applied Economics, IUP Publications, vol. 0(5), pages 48-58, September.
    12. Mario Cerrato & Nick Sarantis, 2006. "Nonlinear Mean Reversion in Real Exchange Rates: Evidence from Developing and Emerging Market Economies," Economics Bulletin, AccessEcon, vol. 6(7), pages 1-14.
    13. Franses, Ph.H.B.F. & van Dijk, D.J.C., 2002. "A simple test for PPP among traded goods," Econometric Institute Research Papers EI 2002-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    14. Franck Sédillot, 2001. "La pente des taux contient-elle de l'information sur l'activité économique future ?," Economie & Prévision, La Documentation Française, vol. 147(1), pages 141-157.
    15. Engel, Charles, 1994. "Can the Markov switching model forecast exchange rates?," Journal of International Economics, Elsevier, vol. 36(1-2), pages 151-165, February.
    16. Rafał Weron, 2009. "Heavy-tails and regime-switching in electricity prices," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 69(3), pages 457-473, July.
    17. Yip, Pick Schen & Brooks, Robert & Do, Hung Xuan & Nguyen, Duc Khuong, 2020. "Dynamic volatility spillover effects between oil and agricultural products," International Review of Financial Analysis, Elsevier, vol. 69(C).
    18. Vassilios Babalos & Mehmet Balcilar & Rangan Gupta, 2014. "Revisiting Herding Behavior in REITs: A Regime-Switching Approach," Working Papers 201448, University of Pretoria, Department of Economics.
    19. Theobald, Thomas, 2013. "Markov Switching with Endogenous Number of Regimes and Leading Indicators in a Real-Time Business Cycle Forecast," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79911, Verein für Socialpolitik / German Economic Association.
    20. Kal, Süleyman Hilmi & Arslaner, Ferhat & Arslaner, Nuran, 2015. "The dynamic relationship between stock, bond and foreign exchange markets," Economic Systems, Elsevier, vol. 39(4), pages 592-607.

    More about this item

    Keywords

    nominal exchange rate; regime switching; random walk;
    All these keywords.

    JEL classification:

    • F00 - International Economics - - General - - - General
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • F31 - International Economics - - International Finance - - - Foreign Exchange

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ses:arsjes:2005-iv-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kurt Schmidheiny (email available below). General contact details of provider: https://edirc.repec.org/data/sgvssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.