Fractional integration and data frequency
AbstractThis paper examines the robustness of fractional integration estimates to different data frequencies. We show by means of Monte Carlo experiments that if the number of differences is an integer value (e.g., 0 or 1) there is no distortion when data are collected at wider intervals; however, if it is a fractional value, the distortion increases as the number of periods between the observations increases, which results in lower orders of integration than those of the true DGP. An empirical application using the S&P500 index is also carried out.
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Bibliographic InfoPaper provided by School of Economics and Business Administration, University of Navarra in its series Faculty Working Papers with number 10/08.
Length: 24 pages
Date of creation: 20 Nov 2008
Date of revision:
Publication status: Published in Journal of Statistical Computation and Simulation 80 (2), 121-132 (2010)
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Web page: http://www.unav.es/facultad/econom
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-12-01 (All new papers)
- NEP-ECM-2008-12-01 (Econometrics)
- NEP-ETS-2008-12-01 (Econometric Time Series)
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