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2007 | nr 5 | 183--212
Tytuł artykułu

Modelowanie i prognozowanie kursu walutowego złoty/euro

Warianty tytułu
Modelling and Forecasting Zloty/Euro Exchange Rate
Języki publikacji
PL
Abstrakty
Przedstawiono empiryczną weryfikację modelu monetarnego kursu złoty/euro dla danych kwartalnych w okresie 1995-2006. Kurs ten stanowi jedną z najważniejszych zmiennych makroekonomicznych. Do estymacji modelu zastosowano metodę kointegracji Johansena. Przeprowadzono analizę błędów prognoz ex post i zaproponowano prognozy łączne.
EN
In this paper we presented an empirical analysis of monetary model of zloty/euro exchange rate based on quarterly data during 1995-2006. The models were estimated with the Johansen co-integration methodology. We calculated forecasts, assessed their accuracy and proposed combined predictors. We concluded that the monetary model may serve as an accurate forecasting tool if the homogeneity assumption of money supply effects on exchange rate is relaxed. The combined forecasts with optimal weighting schemes of individual forecasts are superior to the latter. The quality of weighted average combined forecasts is higher that those of simple average. (original abstract)
Rocznik
Numer
Strony
183--212
Opis fizyczny
Twórcy
Bibliografia
  • Akaike H. (1973), Information theory and an extension of trie maximum likelihood principle, in B.N. Petrov and F. Csaki (eds.), 2nd International Symposium on Information Theory, Akademia Kiado: Budapest, 267-281.
  • Andrews D.W.K. (1991), Heteroskedasticity and autocorrelation consistent covariance matrix estimation, Econometrica 59, 817-858.
  • Ashton A.H., Ashton R.H. (1985), Aggregating subjective forecasts: som empirical results, Management Science 31, 1499-1508.
  • Bates J.M., Granger C.W.J. (1969), The combination of forecasts, Oper tional Research Quarterly 20, 451-468.
  • Bilson J.F.O. (1978), The current experience with floating exchange rate an appraisal of the monetary approach, American Economic Association, E change Rates and Open Economies 68(2), 392-397.
  • Brown S.J. (1978), The portfolio choice problem: comparison of certain equivalence and optimal Bayes portfolios, Communications in Statistics B, 321-334.
  • Bunn D.W. (1975), A Bayesian approach to the linear combination o forecasts, Operational Research Quarterly 28, 653-660.
  • Bunn D.W. (1978), The synthesis of forecasting models in decision anay-sis (Birkhauser, Basel).
  • Bunn D.W. (1979), The synthesis of predictive models in marketing r search, Journal of Marketing Research 16, 280-283.
  • Charemza WW., Deadman D.F. (1997), Nowa ekonometria, PWE, Warszawa.
  • Chong Y.Y., Hendry D.F. ( 1986), Econometric evaluation of linear macroeconomic models, Review of Economic Studies 53, 671-690.
  • Clemen R.T. (1986), Linear constraints and the efficiency of combined forecasts, Journal of Forecasting 5, 31-38.
  • Clemen R.T. (1989), Combining forecasts: a review and annotated bibliography, International Journal of Forecasting 5, 559-583.
  • Clemen R.T., Winkler R.L. (1986), Combining economic forecasts, Journal of Business and Economic Statistics 4(1), January, 39-46.
  • Dickey D.A., Fuller W.A. (1979), Distribution of the estimators for auto-regressive time series with a unit root, Journal of the American Statistical Association 74, 427-431.
  • Dickey D.A., Fuller W.A. (1981), Likelihood ratio statistics for autoregressive time series with a unit root, Econometrica 49, 1057-1079.
  • Doornik J.A. (1995), Testing general restrictions on the cointegrating space, manuscript. Frankel J.A. (1979), On the mark: a theory of floating exchange rates based on real interest differentials, The American Economic Review 69(4), September.
  • Frenkel J.A. (1976), A monetary approach to the exchange rate: doctrinal aspects and empirical evidence, Scandinavian Journal of Economics 78, 200-224.
  • Geisser S. (1965), Bayesian estimation in multivariate analysis. Ann. Math. Statist. 36, 150-159.
  • Godfrey L.G. (1978), Testing for higher order serial correlation in regression equations when the regressors include lagged dependent variables, Econometrica, November, 1303-1310.
  • Granger C.W.J. (1989), Invited review: combining forecasts-20 years later, Journal of Forecasting 8, 167-173.
  • Granger C.W.J., Newbold P. (1974), Spurious regressions in econometrics, Journal of Econometrics 2, 111-120.
  • Granger C.W.J., Ramanathan R. (1984), Improved methods of forecasting, Journal of Forecasting 3, 197-204.
  • Greene W.H. (2003), Econometric analysis: 5th ed., Prentice Hall, New Jersey.
  • Gunter S.I. (1990), Theoretical justification of the efficiency of simple average combinations, Working Paper, Temple University, Philadelphia, PA.
  • Gupta S., Wilton P.C. (1988), Combination of economic forecasts: an odds-matrix approach, Journal of Business and Economic Statistics 6, 373-319.
  • Halperin M. (1961), Almost linearly-optimum combination of unbiased estimates, Journal of the American Statistical Association 56, 36-43.
  • Haynes S.E., Stone J.A. (1981), On the mark: comment, The American Economic Review 71(5), 1060-1067.
  • Hodrick R.J. (1978), An empirical analysis of the monetary approach to íe determination of the exchange rate, [w:] J.A. Frenkel, H.G. Johnson (eds.), 'he economics of exchange rates, Reading, Mass., Addison-Wesley.
  • Holden K., Thompson J. (1997), Combining forecasts, encompassing and íe properties of UK macroeconomic forecasts, Applied Economics 29, 1447-458.
  • Jarque CM., Bera A.K. (1980), Efficient tests for normality, homoscedas-city and serial independence of regression residuals, Economics Letters 6(3), 55-259.
  • Johansen S. (1991), Estimation and hypothesis testing of cointegration ectors in gaussian vector autoregressive models, Econometrica 59, 1551-1580.
  • Johansen S. (1995), Likelihood-based inference in cointegrated vector utoregressive models, Oxford: Oxford University Press.
  • Jorion P. (1985), International portfolio diversification with estimation sk, Journal of Business 58, 259-278.
  • Juselius K., MacDonald R. (2004), International parity relationships be-veen the USA and Japan, Japan and the World Economy 16(1), 17-34.
  • Kelejian H.H. (1982), An extension of a standard test for heteroskedastic-y to a systems framework, Journal of Econometrics 20, 325-333.
  • Kwiatkowski D., Phillips P.C.B., Schmidt P., Shin Y. (1992), Testing the nil hypothesis of stationarity against the alternative of a unit root, Journal of conometrics 54, 159-178.
  • Lütkepohl H. (1991), Introduction to multiple time series analysis, New brk: Springer-Verlag.
  • MacDonald R., Taylor M.P. (1994), The monetary model of the exchange ite: long-run relationships, short-run dynamics and how to beat a random walk, jurnal of International Money and Finance 13(3), 276-290.
  • MacKinnon J.G. (1996), Numerical distribution functions for unit root and aintegration tests, Journal of Applied Econometrics 11, 601-618.
  • MacKinnon J.G., Haug A.A., Michelis L. (1999), Numerical distribution motions of likelihood ratio tests for cointegration, Journal of Applied Econo-íetrics 14, 563-577.
  • Makridakis S., Andersen A., Carbone R., Fildes R., Hibon M., ewandowski R., Newton J., Parzen E., Winkler R. (1983), The forecasting xuracy of major time series methods, Wiley, London.
  • Makridakis S., Andersen A., Carbone R., Fildes R., Hibon M., ewandowski R., Newton J., Parzen E., Winkler R. (1982), The accuracy of Ktrapolation (time series) methods: results of a forecasting competition, Jour-al of Forecasting 1, 111-153.
  • Makridakis S., Hibon M. (1979), Accuracy of forecasting: an empirical ivestigation, Journal of the Royal Statistical Society, Series A, 142 (Part 2), 7-145.
  • Markidakis S., Winkler R.L. (1983), Averages of forecasts: some empiri-al results, Management Science 29, 987-996.
  • Markowitz H.M. (1959), Portfolio selection: efficient diversification of investments, Wiley, Yale University Press, 1970, Basil Blackwell, 1991.
  • Menezes L.M., Bunn D.W. (1993), Diagnostic tracking and model specification in combined forecasts of U.K. inflation, Journal of Forecasting 12, 559-572.
  • Menezes L.M., Bunn D.W. (1998), The persistence of specification problems in the distribution of combined forecast errors, International Journal of Forecasting 14(3), 415-426.
  • Menezes, L.M., Bunn D.W., Taylor J.W. (2000), Review of practical guidelines for combining forecasts, European Journal of Operational Research 120, 190-204.
  • Miller S.M., Clemen R.T., Winkler R.L. (1992), The effect of nonstation-arity on combined forecasts, International Journal of Forecasting 7, 515-529.
  • Milo W. (1990), Szeregi czasowe, PWE, Warszawa.
  • Newbold P., Granger C.W.J. (1974), Experience with forecasting univariate time series and the combination of forecasts (with discussion), Journal of the Royal Statistical Society, Series A, 137, 131-149.
  • Newey W., West K. (1994), Automatic lag selection in covariance matrix estimation, Review of Economic Studies 61, 631-653.
  • Palm F.C., Zellner A. (1992), To combine or not to combine? Issues of combining forecasts, Journal of Forecasting 11, 687-701.
  • Phillips P.C.B., Perron P. (1988), Testing for a unit root in time series regression, Biometrika 75, 335-346.
  • Sims C. (1980), Macroeconomics and reality, Econometrica 48, 1-48.
  • Wdowiński P. (2005), Empiryczne modele kursów walutowych: ocena trafności prognoz, [w:] Milo W., Wdowiński P. (red.), Wybrane zagadnienia ilościowych analiz ekonomiczno-finansowych, Zeszyt Naukowy Folia Oeconomica, Wydawnictwo Uniwersytetu Łódzkiego, Łódź.
  • Wdowiński P., Zglińska-Pietrzak A. (2006), Modelling and forecasting exchange rates: a monetary approach, [in:] Milo W., Wdowiński P. (eds.), Financial Markets: Principles of Modelling, Forecasting, and Decision-Making, FindEcon Monograph Series: Advances in Financial Market Analysis, Number 1, Wydawnictwo Uniwersytetu Łódzkiego, Łódź.
  • White H. (1980), A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity, Econometrica, May, 817-38.
  • Winkler R.L. (1981), Combining probability distributions from dependent information sources, Management Science 27, 479-488.
  • Winkler R.L., Makridakis S. (1983), The combination of forecasts, Journal of the Royal Statistical Society, Series A, 146, 150-157.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000154093087

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