Representation And Weak Convergence Of Stochastic Integrals With Fractional Integrator Processes
AbstractThis paper considers the asymptotic distribution of the covariance of a nonstationary frac- tionally integrated process with the stationary increments of another such process - possibly, itself. Questions of interest include the relationship between the harmonic representation of these random variables, which we have analysed in a previous paper, and the construction derived from moving average representations in the time domain. The limiting integrals are shown to be expressible in terms of functionals of ItÃ´ integrals with respect to two distinct Brownian motions. Their mean is nonetheless shown to match that of the harmonic rep- resentation, and they satisfy the required integration by parts rule. The advantages of our approach over the harmonic analysis include the facts that our formulae are valid for the full range of the long memory parameters, and extend to non-Gaussian processes.
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Bibliographic InfoArticle provided by Cambridge University Press in its journal Econometric Theory.
Volume (Year): 25 (2009)
Issue (Month): 06 (December)
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Other versions of this item:
- James Davidson & Nigar Hashimzade, 2007. "Representation and Weak Convergence of Stochastic Integrals with Fractional Integrator Processes," CREATES Research Papers 2007-45, School of Economics and Management, University of Aarhus.
- James Davidson & Nigar Hashimzade, 2008. "Representation and Weak Convergence of Stochastic Integrals with Fractional Integrator Processes," Discussion Papers 0807, Exeter University, Department of Economics.
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Davidson, James & de Jong, Robert M., 2000.
"The Functional Central Limit Theorem And Weak Convergence To Stochastic Integrals Ii,"
Cambridge University Press, vol. 16(05), pages 643-666, October.
- de Jong, Robert M. & Davidson, James, 2000. "The Functional Central Limit Theorem And Weak Convergence To Stochastic Integrals I," Econometric Theory, Cambridge University Press, vol. 16(05), pages 621-642, October.
- Davidson, James & Hashimzade, Nigar, 2008. "Alternative Frequency And Time Domain Versions Of Fractional Brownian Motion," Econometric Theory, Cambridge University Press, vol. 24(01), pages 256-293, February.
- Bent Jesper Christensen & Robinson Kruse & Philipp Sibbertsen, 2013.
"A unified framework for testing in the linear regression model under unknown order of fractional integration,"
CREATES Research Papers
2013-35, School of Economics and Management, University of Aarhus.
- Christensen, Bent Jesper & Kruse, Robinson & Sibbertsen, Philipp, 2013. "A unified framework for testing in the linear regression model under unknown order of fractional integration," Diskussionspapiere der Wirtschaftswissenschaftlichen FakultÃÂ¤t der Leibniz UniversitÃÂ¤t Hannover dp-519, Leibniz UniversitÃ¤t Hannover, Wirtschaftswissenschaftliche FakultÃ¤t.
- Buchmann, Boris & Chan, Ngai Hang, 2013. "Unified asymptotic theory for nearly unstable AR(p) processes," Stochastic Processes and their Applications, Elsevier, vol. 123(3), pages 952-985.
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