IDEAS home Printed from https://ideas.repec.org/p/imf/imfwpa/2004-016.html
   My bibliography  Save this paper

Foreign Exchange Market Volatility in Eu Accession Countries in the Run-Up to Euro Adoption: Weathering Uncharted Waters

Author

Listed:
  • Mr. Istvan P Szekely
  • Ádám Kóbor

Abstract

The paper analyzes foreign exchange market volatility in four Central European EU accession countries in 2001-2003. By using a Markov regime-switching model, it identifies two regimes representing high- and low-volatility periods. The estimation results show not only that volatilities are different between the two regimes but also that some of the cross-correlations differ. Notably, cross-correlations increase substantially for two pairs of currencies (the Hungarian forint-Polish zloty and the Czech koruna-Slovak koruna) in the high-volatility period. The paper concludes by discussing the policy implications of these findings.

Suggested Citation

  • Mr. Istvan P Szekely & Ádám Kóbor, 2004. "Foreign Exchange Market Volatility in Eu Accession Countries in the Run-Up to Euro Adoption: Weathering Uncharted Waters," IMF Working Papers 2004/016, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2004/016
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=17132
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Dueker, Michael & Neely, Christopher J., 2007. "Can Markov switching models predict excess foreign exchange returns?," Journal of Banking & Finance, Elsevier, vol. 31(2), pages 279-296, February.
    2. Mary Hardy, 2001. "A Regime-Switching Model of Long-Term Stock Returns," North American Actuarial Journal, Taylor & Francis Journals, vol. 5(2), pages 41-53.
    3. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    4. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    5. Paul H. Kupiec, 1995. "Techniques for verifying the accuracy of risk measurement models," Finance and Economics Discussion Series 95-24, Board of Governors of the Federal Reserve System (U.S.).
    6. Agnes Csermely, 2004. "Convergence Expectations and Convergence Strategies. Lessons from the Hungarian Experiences in the pre-EU period1," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 46(1), pages 104-126, March.
    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. Thomas Windberger & Jesús Crespo-Cuaresma & Janette Walde, 2012. "Dirty floating and monetary independence in Central and Eastern Europe - The role of structural breaks," Working Papers 2012-21, Faculty of Economics and Statistics, Universität Innsbruck.
    2. Giannellis, Nikolaos & Papadopoulos, Athanasios P., 2011. "What causes exchange rate volatility? Evidence from selected EMU members and candidates for EMU membership countries," Journal of International Money and Finance, Elsevier, vol. 30(1), pages 39-61, February.
    3. Aleš Bulíø, 2005. "Liberalized Markets Have More Stable Exchange Rates: Short-Run Evidence from Four Transition Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 55(5-6), pages 206-231, May.
    4. Morar Triandafil, Cristina & Brezeanu, Petre & Huidumac, Catalin & Morar Triandafil, Adrian, 2011. "The Drivers of the CEE Exchange Rate Volatility - Empirical Perspective in the context of the Recent Financial Crisis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 212-229, March.
    5. Andrea M Maechler & Srobona Mitra & Delisle Worrell, 2010. "Decomposing Financial Risks and Vulnerabilities in Emerging Europe," IMF Staff Papers, Palgrave Macmillan, vol. 57(1), pages 25-60, April.
    6. Bednarik, Radek, 2008. "Analýza volatility devizových kurzů vybraných ekonomik [The Analysis of Volatility of Selected Countries' Exchange Rates]," MPRA Paper 15046, University Library of Munich, Germany.
    7. Michael Frömmel, 2010. "Volatility Regimes in Central and Eastern European Countries’ Exchange Rates," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 60(1), pages 2-21, February.
    8. Mr. Marcus Pramor & Ms. Natalia T. Tamirisa, 2006. "Common Volatility Trends in the Central and Eastern European Currencies and the Euro," IMF Working Papers 2006/206, International Monetary Fund.
    9. Juraj Stanèík, 2007. "Determinants of Exchange-Rate Volatility: The Case of the New EU Members," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 57(9-10), pages 414-432, October.
    10. Carmen TODERASCU (SANDU), 2014. "The Influence Of Economic Conditions In Romania On The Relation Between Inflation And The Ron Exchange Rate," Journal of Public Administration, Finance and Law, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 5(5), pages 221-228, June.
    11. Mr. Rupert D Worrell & Andrea M. Maechler & Ms. Srobona Mitra, 2007. "Decomposing Financial Risks and Vulnerabilities in Eastern Europe," IMF Working Papers 2007/248, International Monetary Fund.

    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. Shin-Yun Wang & Ming-Che Chuang & Shih-Kuei Lin & So-De Shyu, 2021. "Option pricing under stock market cycles with jump risks: evidence from the S&P 500 index," Review of Quantitative Finance and Accounting, Springer, vol. 56(1), pages 25-51, January.
    2. Battulga Gankhuu, 2021. "Equity--Linked Life Insurances on Maximum of Several Assets," Papers 2111.04038, arXiv.org, revised Aug 2023.
    3. Alessandro Ramponi, 2011. "Mixture Dynamics and Regime Switching Diffusions with Application to Option Pricing," Methodology and Computing in Applied Probability, Springer, vol. 13(2), pages 349-368, June.
    4. Ryohei Kawata & Masaaki Kijima, 2007. "Value-at-risk in a market subject to regime switching," Quantitative Finance, Taylor & Francis Journals, vol. 7(6), pages 609-619.
    5. Halkos, George & Tzirivis, Apostolos, 2018. "Effective energy commodities’ risk management: Econometric modeling of price volatility," MPRA Paper 90781, University Library of Munich, Germany.
    6. Monica Billio & Mila Getmansky & Loriana Pelizzon, 2008. "Crises and Hedge Fund Risk," Yale School of Management Working Papers amz2561, Yale School of Management, revised 01 Oct 2009.
    7. Wasim Ahmad & N. Bhanumurthy & Sanjay Sehgal, 2015. "Regime dependent dynamics and European stock markets: Is asset allocation really possible?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(1), pages 77-107, February.
    8. Bernardi, Mauro & Maruotti, Antonello & Petrella, Lea, 2017. "Multiple risk measures for multivariate dynamic heavy–tailed models," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 1-32.
    9. Emilio Russo, 2020. "A Discrete-Time Approach to Evaluate Path-Dependent Derivatives in a Regime-Switching Risk Model," Risks, MDPI, vol. 8(1), pages 1-22, January.
    10. Billio, Monica & Getmansky, Mila & Pelizzon, Loriana, 2012. "Dynamic risk exposures in hedge funds," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3517-3532.
    11. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    12. Yuan, Chunming, 2011. "Forecasting exchange rates: The multi-state Markov-switching model with smoothing," International Review of Economics & Finance, Elsevier, vol. 20(2), pages 342-362, April.
    13. Battulga Gankhuu, 2021. "Options Pricing under Bayesian MS-VAR Process," Papers 2109.05998, arXiv.org, revised May 2023.
    14. Pami Dua & Divya Tuteja, 2021. "Regime Shifts in the Behaviour of International Currency and Equity Markets: A Markov-Switching Analysis," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 309-336, December.
    15. Massimo Costabile & Arturo Leccadito & Ivar Massabó & Emilio Russo, 2014. "A reduced lattice model for option pricing under regime-switching," Review of Quantitative Finance and Accounting, Springer, vol. 42(4), pages 667-690, May.
    16. Youssef, Manel & Mokni, Khaled, 2021. "Oil-gold nexus: Evidence from regime switching-quantile regression approach," Resources Policy, Elsevier, vol. 73(C).
    17. Liu, Xinyi & Margaritis, Dimitris & Wang, Peiming, 2012. "Stock market volatility and equity returns: Evidence from a two-state Markov-switching model with regressors," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 483-496.
    18. Suman Das & Saikat Sinha Roy, 2021. "Predicting regime switching in BRICS currency volatility: a Markov switching autoregressive approach," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 48(2), pages 165-180, June.
    19. Richard D. F. Harris & Murat Mazibas, 2022. "A component Markov regime‐switching autoregressive conditional range model," Bulletin of Economic Research, Wiley Blackwell, vol. 74(2), pages 650-683, April.
    20. 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.

    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:imf:imfwpa:2004/016. 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: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.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.