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Proceedings Paper

Diffusion covariation and co-jumps in bidimensional asset price processes with stochastic volatility and infinite activity Lévy jumps
Author(s): Fabio Gobbi; Cecilia Mancini
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Paper Abstract

In this paper we consider two processes driven by diffusions and jumps. The jump components are Levy processes and they can both have finite activity and infinite activity. Given discrete observations we estimate the covariation between the two diffusion parts and the co-jumps. The detection of the co-jumps allows to gain insight in the dependence structure of the jump components and has important applications in finance. Our estimators are based on a threshold principle allowing to isolate the jumps. This work follows Gobbi and Mancini (2006) where the asymptotic normality for the estimator of the covariation, with convergence speed &sqrt;h, was obtained when the jump components have finite activity. Here we show that the speed is &sqrt;h only when the activity of the jump components is moderate.

Paper Details

Date Published: 15 June 2007
PDF: 8 pages
Proc. SPIE 6601, Noise and Stochastics in Complex Systems and Finance, 660111 (15 June 2007); doi: 10.1117/12.724566
Show Author Affiliations
Fabio Gobbi, Univ. degli Studi di Firenze (Italy)
Cecilia Mancini, Univ. degli Studi di Firenze (Italy)


Published in SPIE Proceedings Vol. 6601:
Noise and Stochastics in Complex Systems and Finance
János Kertész; Stefan Bornholdt; Rosario N. Mantegna, Editor(s)

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