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Impact of jumps on returns and realised variances: econometric analysis of time-deformed Levy processes

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  • Neil Shephard
  • Ole E. Barndorff-Nielsen

Abstract

In order to assess the effect of jumps on realised variance calculations, we study some of the econometric properties of time-changed Levy processes. We show that in general we can derive the second order properties of realised variances and use these to estimate the parameters of such models. Our analytic results give a first indication of the degrees of inconsistency of realised variance as an estimator of the time-change in the non-Brownian case. Further, our results suggest volatility is even more predictable than has been shown by the recent econometric work on realised variance.

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Bibliographic Info

Paper provided by University of Oxford, Department of Economics in its series Economics Series Working Papers with number 2003-W12.

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Date of creation: 01 Apr 2003
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Handle: RePEc:oxf:wpaper:2003-w12

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Related research

Keywords: Kalman filter; Levy process; Long-memory; Quasi-likelihood; Realised variance; Stochastic volatility; Time-change.;

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