Arbeitspapier

Estimation of a nonparametric regression spectrum for multivariate time series

Estimation of a nonparametric regression spectrum based on the periodogram is considered. Neither trend estimation nor smoothing of the periodogram are required. Alternatively, for cases where spectral estimation of phase shifts fails and the shift does not depend on frequency, a time domain estimator of the lag-shift is defined. Asymptotic properties of the frequency and time domain estimators are derived. Simulations and a data example illustrate the methods.

Language
Englisch

Bibliographic citation
Series: CoFE Discussion Paper ; No. 07/12

Classification
Wirtschaft
Subject
Periodogram
cross spectrum
regression spectrum
phase
wavelets

Event
Geistige Schöpfung
(who)
Beran, Jan
Heiler, Mark A.
Event
Veröffentlichung
(who)
University of Konstanz, Center of Finance and Econometrics (CoFE)
(where)
Konstanz
(when)
2007

Handle
URN
urn:nbn:de:bsz:352-opus-116674
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Beran, Jan
  • Heiler, Mark A.
  • University of Konstanz, Center of Finance and Econometrics (CoFE)

Time of origin

  • 2007

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