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2006 | 7 | 209--220
Tytuł artykułu

The Phillips Method of Fractional Integration Parameter Estimation and Aggregation of PLN Exchange Rates

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Fractional integration parameter estimation can be performed with use of several methods. In earlier research the GPH and Robinson methods have been applied to the same set of exchange rates (monthly, weekly and daily data), and results of estimation do depend on aggregation levels. The Phillips method results, presented here, confirm our conjecture that the estimates differ between aggregation levels and between currencies. Fractional integration parameter estimate can be used as indicator of model specification (e.g., to chose between ARMA, ARIMA and ARFIMA models), hence in the process of its estimation special attention should be paid to properties of a particular method applied.(fragment of text)
Rocznik
Tom
7
Strony
209--220
Opis fizyczny
Twórcy
  • Warsaw School of Economics, Poland
Bibliografia
  • Elliot, G., Rothenberg, T., Stock, J. H. (1996), Efficient tests for an autoregressive unit root, Econometrica, 64, pp. 813-836.
  • Geweke, J., Porter-Hudak, S. (1983), The estimation and application of long-memory time series models, Journal of Time Series Analysis, 4, pp. 221-228; reprinted in: Robinson (2003a).
  • Hosking, J.R.M. (1981), Fractional differencing, Biometrika, 68(1), pp. 65-176.
  • Kwiatkowski, D., Phillips, P.C.B., Schmidt, P., Shin, Y. (1992), Testing the null hypothesis of stationarity against the alternative of a unit root. How sure are we that economic time series have a unit root?", Journal of Econometrics, 54, pp. 159-178.
  • Lo, A. H. (1991), Long-term memory in stock market prices, Econometrica, 59, pp. 1279-1313, reprinted as chapter 5 in: Robinson (2003a).
  • Phillips, P.C.B. (1999), Discrete Fourier Transforms of Fractional Processes, 1999a. Unpublished working paper No. 1243, Cowles Foundation for Research in Economics, Yale University. http://cowles.econ.yale.edu/P/cd/dy1999.htm, file d1243.pdf
  • Phillips, P.C.B., Unit Root Log Periodogram Regression, 1999b,Unpublished working paper No. 1244, Cowles Foundation for Research in Economics, Yale University, http://cowles.econ.yale.edu/P/cd/dy1999.htm, file: d1244.pdf
  • Piłatowska, M. (2000), Testing for fractional integration in foreign exchange rates, Dynamic Econometric Models, 4, Toruń 2000, pp. 129- 143.
  • Robinson, P. M. (1995), Log-periodogram regression of time series with long range dependence, Annals of Statistics, 23, pp. 1048-1072.
  • Robinson, P. M. (2003), Long-memory time series, chapter 1 in: Robinson (2003a), pp. 4-32.
  • Robinson, P. M. (editor) (2003a), Time series with long memory, Oxford University Press, Oxford.
  • Schwert, G. W. (1989), Tests for unit roots: A Monte Carlo investigation, Journal of Business and Economic Statistics, 2, pp. 147-159.
  • Stock, J. H., Watson, M. W. (2003), Introduction to Econometrics, Addison-Wesley, Boston.
  • Syczewska, E.M. (2005a), Aggregation of exchange rate data and long memory measures, Statistics in Transition, Journal of the Polish Statistical Association, "Selected papers from the 27th CIRET Conference", 7(2), pp. 457-474.
  • Syczewska, E.M. (2005b), Wpływ agregracji kursów złotowych na wyniki estymacji parametric integracji ułamkowej metodą Phillipsa, Dynamiczne modele ekonometryczne. Materiały zgłoszone na IX Ogólnopolskie Seminarium Naukowe, 6-8 września 2005, Toruń 2005, Eds. T. Kufel and M. Piłatowska (in Polish).
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171295087

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