IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v17y2010i1p81-86.html
   My bibliography  Save this article

Exchange rate volatility and the asymmetric fluctuation band on the way to the Eurozone

Author

Listed:
  • Daniel Stav�rek

Abstract

It is highly probable that the fulfillment of the exchange rate stability convergence criterion (ERSC) in the European Union (EU) New Member States (NMS) will be evaluated within the asymmetric fluctuation bank around the central parity. Obviously, there is a necessity for analysis of the asymmetric effects in the NMS and candidate countries exchange rate volatility. In this article, the TARCH model extended by the concept of implicit target exchange rate is applied on daily data from seven NMS and candidate countries. The results suggest that symptoms of asymmetry were found in volatility of almost all exchange rates while some pose a potential threat to fulfillment of the criterion. By contrast, the most positive results were revealed in Slovakia where the increase in the exchange rate volatility is driven by the appreciation of the national currency and the appreciation-side deviation from the target exchange rate. Such a finding is consistent with the asymmetric fluctuation band which allows substantially larger deviations on the appreciation side.

Suggested Citation

  • Daniel Stav�rek, 2010. "Exchange rate volatility and the asymmetric fluctuation band on the way to the Eurozone," Applied Economics Letters, Taylor & Francis Journals, vol. 17(1), pages 81-86, January.
  • Handle: RePEc:taf:apeclt:v:17:y:2010:i:1:p:81-86
    DOI: 10.1080/13504850701719827
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504850701719827
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504850701719827?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jarko Fidrmuc & Roman Horváth, 2006. "Credibility of Exchange Rate Policies in Selected EU New Members: Evidence from High Frequency Data," Working Papers IES 2006/28, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2006.
    2. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    3. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    4. Chmelarova, Viera & Schnabl, Gunther, 2006. "Exchange rate stabilization in developed and underdeveloped capital markets," Working Paper Series 636, European Central Bank.
    5. Ito, Takatoshi & Yabu, Tomoyoshi, 2007. "What prompts Japan to intervene in the Forex market? A new approach to a reaction function," Journal of International Money and Finance, Elsevier, vol. 26(2), pages 193-212, March.
    6. Paul R. Krugman, 1991. "Target Zones and Exchange Rate Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(3), pages 669-682.
    7. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
    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. Daniel Stavarek, 2011. "European exchange rates volatility and its asymmetrical components during the financial crisis," MENDELU Working Papers in Business and Economics 2011-17, Mendel University in Brno, Faculty of Business and Economics.
    2. Nidal Rashid Sabri & Marga Peeters & Diama K. Abulaban, 2012. "The impact of exchange rate volatility on trade integration among North and South Mediterranean countries," International Journal of Business and Globalisation, Inderscience Enterprises Ltd, vol. 9(2), pages 107-121.
    3. Idoko Ahmed Itodo & Ojonugwa Usman & Michael Maju Abu, 2017. "The Asymmetric Effect in the Volatility of the South African Rand," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 3(3), pages 47-53, September.

    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. Stavarek, Daniel, 2007. "On Asymmetry of Exchange Rate Volatility in New EU Member and Candidate Countries," MPRA Paper 7298, University Library of Munich, Germany.
    2. Daniel Stavarek, 2011. "European exchange rates volatility and its asymmetrical components during the financial crisis," MENDELU Working Papers in Business and Economics 2011-17, Mendel University in Brno, Faculty of Business and Economics.
    3. Fidrmuc, Jarko & Horváth, Roman, 2008. "Volatility of exchange rates in selected new EU members: Evidence from daily data," Economic Systems, Elsevier, vol. 32(1), pages 103-118, March.
    4. G. Boero & E. Marrocu, 2000. "La performance di modelli non lineari per i tassi di cambio: un'applicazione con dati a diversa frequenza," Working Paper CRENoS 200014, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    5. Altaf Muhammad & Zhang Shuguang, 2015. "Impact Of Structural Shifts on Variance Persistence in Asymmetric Garch Models: Evidence From Emerging Asian and European Markets," Romanian Statistical Review, Romanian Statistical Review, vol. 63(1), pages 57-70, March.
    6. Gerard H. Kuper & Daan P. van Soest, 2006. "Does Oil Price Uncertainty Affect Energy Use?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 55-78.
    7. Janani Sri S. & Parthajit Kayal & G. Balasubramanian, 2022. "Can Equity be Safe-haven for Investment?," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 21(1), pages 32-63, March.
    8. Harry-Paul Vander Elst, 2015. "FloGARCH: Realizing Long Memory and Asymmetries in Returns Valitility," Working Papers ECARES ECARES 2015-12, ULB -- Universite Libre de Bruxelles.
    9. Charles, Amélie, 2010. "The day-of-the-week effects on the volatility: The role of the asymmetry," European Journal of Operational Research, Elsevier, vol. 202(1), pages 143-152, April.
    10. Theodore Panagiotidis, 2010. "Market efficiency and the Euro: the case of the Athens stock exchange," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 37(3), pages 237-251, July.
    11. Tak Siu & John Lau & Hailiang Yang, 2007. "On Valuing Participating Life Insurance Contracts with Conditional Heteroscedasticity," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 14(3), pages 255-275, September.
    12. Ender Su & John Bilson, 2011. "Trading asymmetric trend and volatility by leverage trend GARCH in Taiwan stock index," Applied Economics, Taylor & Francis Journals, vol. 43(26), pages 3891-3905.
    13. Chuong Luong & Nikolai Dokuchaev, 2018. "Forecasting of Realised Volatility with the Random Forests Algorithm," JRFM, MDPI, vol. 11(4), pages 1-15, October.
    14. Alistair Mees & Berndt Pilgram, 2000. "Non-Linear Markov Modelling Using Canonical Variate Analysis: Forecasting Exchange Rate Volatility," Econometric Society World Congress 2000 Contributed Papers 1162, Econometric Society.
    15. Sébastien Laurent & Luc Bauwens & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109.
    16. Henryk Gurgul & Robert Syrek, 2023. "Contagion between selected European indexes during the Covid-19 pandemic," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(1), pages 47-59.
    17. Catania, Leopoldo & Proietti, Tommaso, 2020. "Forecasting volatility with time-varying leverage and volatility of volatility effects," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1301-1317.
    18. Lukáš Frýd, 2018. "Asymetrie během finančních krizí: asymetrická volatilita převyšuje důležitost asymetrické korelace [Asymmetry of Financial Time Series During the Financial Crisis: Asymmetric Volatility Outperforms," Politická ekonomie, Prague University of Economics and Business, vol. 2018(3), pages 302-329.
    19. Gonzalo Cortazar & Alejandro Bernales & Diether Beuermann, 2005. "Methodology and Implementation of Value-at-Risk Measures in Emerging Fixed-Income Markets with Infrequent Trading," Finance 0512030, University Library of Munich, Germany.
    20. Mehmet Sahiner, 2022. "Forecasting volatility in Asian financial markets: evidence from recursive and rolling window methods," SN Business & Economics, Springer, vol. 2(10), pages 1-74, October.

    More about this item

    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:taf:apeclt:v:17:y:2010:i:1:p:81-86. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.