Journal article | Zeitschriftenartikel

Estimating quadratic variation consistently in the presence of endogenous and diurnal measurement error

We propose an econometric model that captures the effects of market microstructure on a latent price process. In particular, we allow for correlation between the measurement error and the return process and we allow the measurement error process to have a diurnal heteroskedasticity. We propose a modification of the TSRV estimator of quadratic variation. We show that this estimator is consistent, with a rate of convergence that depends on the size of the measurement error, but is no worse than n−1/6. We investigate in simulation experiments the finite sample performance of various proposed implementations.

Estimating quadratic variation consistently in the presence of endogenous and diurnal measurement error

Urheber*in: Kalnina, Ilze; Linton, Oliver

Free access - no reuse

Extent
Seite(n): 47-59
Language
Englisch
Notes
Status: Postprint; begutachtet (peer reviewed)

Bibliographic citation
Journal of Econometrics, 147(1)

Subject
Wirtschaft
Wirtschaftswissenschaften

Event
Geistige Schöpfung
(who)
Kalnina, Ilze
Linton, Oliver
Event
Veröffentlichung
(where)
Niederlande
(when)
2008

DOI
URN
urn:nbn:de:0168-ssoar-201029
Rights
GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
Last update
21.06.2024, 4:26 PM CEST

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Object type

  • Zeitschriftenartikel

Associated

  • Kalnina, Ilze
  • Linton, Oliver

Time of origin

  • 2008

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