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Az árfolyamsávok empirikus modelljei és a devizaárfolyam sávon belüli előrejelezhetetlensége
[Empirical models of exchange rate target zones]

Author

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  • Darvas, Zsolt

Abstract

A sávosan rögzített devizaárfolyamok elméleti és gyakorlati vizsgálatai a nemzetközi közgazdaságtan egyik legnépszerűbb témaköre volt a kilencvenes évek elején. A gyakorlati módszerek közül az alkalmazások és hivatkozások száma tekintetében az úgynevezett eltolódással igazítás módszere emelkedett ki. A módszert alkalmazó szerzők szerint amíg a lebegő árfolyamú devizák előrejelzése céltalan feladatnak tűnik, addig sávos árfolyam esetén az árfolyam sávon belüli helyzetének előrejelzése sikeresen végezhető. E tanulmány bemutatja, hogy az Európai Monetáris Rendszer és az északeurópai államok sávos árfolyamrendszereinél e módszer alkalmazásával adódott eredmények például a lebegő árfolyamú amerikai dollárra és az egységgyökfolyamatok többségére is érvényesek. A tanulmány feltárja e látszólagos ellentmondás okait, és bemutat egy olyan, a sávos árfolyamrendszerek főbb megfigyelt jellemzőire épülő modellt, amelynek keretei között a sávon belüli árfolyam előrejelzése nem feltétlenül lehetséges, mert a leértékelés előtti időszakban a sávon belüli árfolyam alakulása kaotikus lehet.

Suggested Citation

  • Darvas, Zsolt, 1999. "Az árfolyamsávok empirikus modelljei és a devizaárfolyam sávon belüli előrejelezhetetlensége [Empirical models of exchange rate target zones]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 507-529.
    • Handle: RePEc:ksa:szemle:253
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    References listed on IDEAS

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    1. Vlaar, Peter J G & Palm, Franz C, 1993. "The Message in Weekly Exchange Rates in the European Monetary System: Mean Reversion, Conditional Heteroscedasticity, and Jumps," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(3), pages 351-360, July.
    2. Hansen, Lars Peter & Hodrick, Robert J, 1980. "Forward Exchange Rates as Optimal Predictors of Future Spot Rates: An Econometric Analysis," Journal of Political Economy, University of Chicago Press, vol. 88(5), pages 829-853, October.
    3. Lars E. O. Svensson, 1991. "The Simplest Test of Target Zone Credibility," IMF Staff Papers, Palgrave Macmillan, vol. 38(3), pages 655-665, September.
    4. Flood, Robert P. & Rose, Andrew K. & Mathieson, Donald J., 1991. "An empirical exploration of exchange-rate target-zones," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 35(1), pages 7-65, January.
    5. Mizrach, Bruce, 1995. "Target zone models with stochastic realignments: an econometric evaluation," Journal of International Money and Finance, Elsevier, vol. 14(5), pages 641-657, October.
    6. Giuseppe Bertola & Lars E. O. Svensson, 1993. "Stochastic Devaluation Risk and the Empirical Fit of Target-Zone Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 689-712.
    7. Sarno,Lucio & Taylor,Mark P., 2003. "The Economics of Exchange Rates," Cambridge Books, Cambridge University Press, number 9780521485845.
    8. Svensson, Lars E. O., 1992. "The foreign exchange risk premium in a target zone with devaluation risk," Journal of International Economics, Elsevier, vol. 33(1-2), pages 21-40, August.
    9. Bekaert, Geert & Gray, Stephen F., 1998. "Target zones and exchange rates:: An empirical investigation," Journal of International Economics, Elsevier, vol. 45(1), pages 1-35, June.
    10. Lindberg, H. & Soderlind, P., 1991. "Testing the Basic Target Zone Model on Swedish Data," Papers 488, Stockholm - International Economic Studies.
    11. Malz, Allan M., 1996. "Using option prices to estimate realignment probabilities in the European Monetary System: the case of sterling-mark," Journal of International Money and Finance, Elsevier, vol. 15(5), pages 717-748, October.
    12. 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.
    13. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    14. Rose, A.K. & Svensson, L.E., 1991. "Expected and Predicted Realignments: the FF/DM Exchange Rate during the EMS," Papers 485, Stockholm - International Economic Studies.
    15. Garber, Peter M. & Svensson, Lars E.O., 1995. "The operation and collapse of fixed exchange rate regimes," Handbook of International Economics, in: G. M. Grossman & K. Rogoff (ed.), Handbook of International Economics, edition 1, volume 3, chapter 36, pages 1865-1911, Elsevier.
    16. Campa, Jose Manuel & Chang, P H Kevin, 1996. "Arbitrage-Based Tests of Target-Zone Credibility: Evidence from ERM Cross-Rate Options," American Economic Review, American Economic Association, vol. 86(4), pages 726-740, September.
    17. Darvas, Zsolt, 1998. "Spurious Correlation in Exchange Rate Target Zone Modelling: Testing the Drift Adjustment Method on the US Dollar, Random Walk and Chaos," CEPR Discussion Papers 1890, C.E.P.R. Discussion Papers.
    18. Rose, Andrew K. & Svensson, Lars E. O., 1994. "European exchange rate credibility before the fall," European Economic Review, Elsevier, vol. 38(6), pages 1185-1216, June.
    19. Campa, Jose M & Chang, P H Kevin, 1998. "ERM Realignment Risk and Its Economic Determinants as Reflected in Cross-Rate Options," Economic Journal, Royal Economic Society, vol. 108(449), pages 1046-1066, July.
    20. Rose, Andrew K & Svensson, Lars E O, 1995. " Expected and Predicted Realignments: The FF/DM Exchange Rate during the EMS, 1979-93," Scandinavian Journal of Economics, Wiley Blackwell, vol. 97(2), pages 173-200, June.
    21. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    22. Lars E. O. Svensson, 1992. "An Interpretation of Recent Research on Exchange Rate Target Zones," Journal of Economic Perspectives, American Economic Association, vol. 6(4), pages 119-144, Fall.
    23. Kees G. Koedijk & Philip A. Stork & Casper G. De Vries, 1998. "An EMS target zone model in discrete time," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(1), pages 31-48.
    24. Svensson, Lars E. O., 1993. "Assessing target zone credibility : Mean reversion and devaluation expectations in the ERM, 1979-1992," European Economic Review, Elsevier, vol. 37(4), pages 763-793, May.
    25. Darvas, Zsolt, 1996. "Kamatkülönbség és árfolyam-várakozások az előre bejelentett kúszó árfolyamrendszerben [Interest differential and exchange rate expectations in the preannounced crawling band system of Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 920-947.
    26. Lindberg, Hans & Soderlind, Paul, 1994. "Testing the basic target zone model on Swedish data 1982-1990," European Economic Review, Elsevier, vol. 38(7), pages 1441-1469, August.
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    Cited by:

    1. Jakab M., Zoltán & Kovács, Mihály András & Kiss, Gergely, 2006. "Mit tanultunk?. A jegybanki előrejelzések szerepe az inflációs cél követésének első öt évében Magyarországon [What are we studying?. The role of central-bank forecasts in Hungarian inflation target," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1101-1134.

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    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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