In a recent paper [6], we derived a rate efficient (and in some cases variance efficient) estimator for the integrated volatility of the diffusion coefficient of a process in presence of infinite variation jumps. The estimation is based on discrete observations of the process on a fixed time interval with asymptotically shrinking equidistant observation grid. The result in [6] is derived under the assumption that the jump part of the discretely-observed process has a finite variation component plus a stochastic integral with respect to a stable-like Lévy process with index β > 1. Here we show that the procedure of [6] can be extended to accommodate the case when the jumps are a mixture of finitely many integrals with respect to stable-like Lévy processes with indices β1 > … ≥ βM ≥ 1.
CITATION STYLE
Jacod, J., & Todorov, V. (2015). Efficient estimation of integrated volatility in presence of infinite variation jumps with multiple activity indices. In The Fascination of Probability, Statistics and their Applications: In Honour of Ole E. Barndorff-Nielsen (pp. 317–341). Springer International Publishing. https://doi.org/10.1007/978-3-319-25826-3_15
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