Asymptotic properties of power variations of Lévy processes
ESAIM: Probability and Statistics, Tome 11 (2007), pp. 173-196.

We determine the asymptotic behavior of the realized power variations, and more generally of sums of a given function f evaluated at the increments of a Lévy process between the successive times iΔ n for i = 0,1,...,n. One can elucidate completely the first order behavior, that is the convergence in probability of such sums, possibly after normalization and/or centering: it turns out that there is a rather wide variety of possible behaviors, depending on the structure of jumps and on the chosen test function f. As for the associated central limit theorem, one can show some versions of it, but unfortunately in a limited number of cases only: in some other cases a CLT just does not exist.

DOI : 10.1051/ps:2007013
Classification : 60F17, 60G51
Mots clés : central limit theorem, quadratic variation, power variation, Lévy processes
@article{PS_2007__11__173_0,
     author = {Jacod, Jean},
     title = {Asymptotic properties of power variations of {L\'evy} processes},
     journal = {ESAIM: Probability and Statistics},
     pages = {173--196},
     publisher = {EDP-Sciences},
     volume = {11},
     year = {2007},
     doi = {10.1051/ps:2007013},
     mrnumber = {2320815},
     language = {en},
     url = {http://archive.numdam.org/articles/10.1051/ps:2007013/}
}
TY  - JOUR
AU  - Jacod, Jean
TI  - Asymptotic properties of power variations of Lévy processes
JO  - ESAIM: Probability and Statistics
PY  - 2007
SP  - 173
EP  - 196
VL  - 11
PB  - EDP-Sciences
UR  - http://archive.numdam.org/articles/10.1051/ps:2007013/
DO  - 10.1051/ps:2007013
LA  - en
ID  - PS_2007__11__173_0
ER  - 
%0 Journal Article
%A Jacod, Jean
%T Asymptotic properties of power variations of Lévy processes
%J ESAIM: Probability and Statistics
%D 2007
%P 173-196
%V 11
%I EDP-Sciences
%U http://archive.numdam.org/articles/10.1051/ps:2007013/
%R 10.1051/ps:2007013
%G en
%F PS_2007__11__173_0
Jacod, Jean. Asymptotic properties of power variations of Lévy processes. ESAIM: Probability and Statistics, Tome 11 (2007), pp. 173-196. doi : 10.1051/ps:2007013. http://archive.numdam.org/articles/10.1051/ps:2007013/

[1] Y. Aït-Sahalia and J. Jacod, Volatility estimators for discretely sampled Lévy processes. To appear in Annals of Statistics (2005). | Zbl

[2] T.G. Andersen, T. Bollerslev and F.X. Diebold, Parametric and nonparametric measurement of volatility, in Handbook of Financial Econometrics, Y. Aït-Sahalia and L.P. Hansen Eds., Amsterdam: North Holland. Forthcoming (2005).

[3] O.E. Barndorff-Nielsen and N. Shephard, Realised power variation and stochastic volatility. Bernoulli 9 (2003) 243-265. Correction published in pages 1109-1111. | Zbl

[4] O.E. Barndorff-Nielsen, S.E. Graversen, J. Jacod, M. Podolskij and N. Shephard, A central limit theorem for realised bipower variations of continuous semimartingales, in From Stochastic calculus to mathematical finance, the Shiryaev Festschrift, Y. Kabanov, R. Liptser, J. Stoyanov Eds., Springer-Verlag, Berlin (2006) 33-69. | Zbl

[5] O.E. Barndorff-Nielsen, N. Shephard and M. Winkel, Limit theorems for multipower variation in the presence of jumps. Stoch. Processes Appl. 116 (2006) 796-806. | Zbl

[6] A.N. Borodin and I.A. Ibragimov, Limit Theorems for Functionals of Random Walks. Proceedings Staklov Inst. Math. 195, A.M.S. (1995). | MR | Zbl

[7] J. Jacod and A. Shiryaev, Limit Theorems for Stochastic Processes. 2nd ed., Springer-Verlag, Berlin (2003). | MR | Zbl

[8] J. Jacod and P. Protter, Asymptotic error distributions for the Euler method for stochastic differential equations. Ann. Probab. 26 (1998) 267-307. | Zbl

[9] J. Jacod, The Euler scheme for Lévy driven stochastic differential equations: limit theorems. Ann. Probab. 32 (2004) 1830-1972. | Zbl

[10] J. Jacod, A. Jakubowski and J. Mémin, On asymptotic error in discretization of processes. Ann. Probab. 31 (2003) 592-608. | Zbl

[11] D. Lépingle, La variation d’ordre p des semimartingales. Z. für Wahr. Th. 36 (1976) 285-316. | Zbl

[12] C. Mancini, Disentangling the jumps of the diffusion in a geometric jumping Brownian motion. Giornale dell'Instituto Italiano degli Attuari LXIV (2001) 19-47.

[13] J. Woerner, Power and multipower variation: inference for high frequency data, in Stochastic Finance, A.N. Shiryaev, M. do Rosário Grosshino, P. Oliviera, M. Esquivel Eds., Springer-Verlag, Berlin (2006) 343-354. | Zbl

Cité par Sources :