We determine the asymptotic behavior of the realized power variations, and more generally of sums of a given function evaluated at the increments of a Lévy process between the successive times for = 0,1,...,. 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 . 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.
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://www.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://www.numdam.org/articles/10.1051/ps:2007013/ DO - 10.1051/ps:2007013 LA - en ID - PS_2007__11__173_0 ER -
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://www.numdam.org/articles/10.1051/ps:2007013/
[1] Volatility estimators for discretely sampled Lévy processes. To appear in Annals of Statistics (2005). | Zbl
and ,[2] Parametric and nonparametric measurement of volatility, in Handbook of Financial Econometrics, Y. Aït-Sahalia and L.P. Hansen Eds., Amsterdam: North Holland. Forthcoming (2005).
, and ,[3] Realised power variation and stochastic volatility. Bernoulli 9 (2003) 243-265. Correction published in pages 1109-1111. | Zbl
and ,[4] 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
, , , and ,[5] Limit theorems for multipower variation in the presence of jumps. Stoch. Processes Appl. 116 (2006) 796-806. | Zbl
, and ,[6] Limit Theorems for Functionals of Random Walks. Proceedings Staklov Inst. Math. 195, A.M.S. (1995). | MR | Zbl
and ,[7] Limit Theorems for Stochastic Processes. 2nd ed., Springer-Verlag, Berlin (2003). | MR | Zbl
and ,[8] Asymptotic error distributions for the Euler method for stochastic differential equations. Ann. Probab. 26 (1998) 267-307. | Zbl
and ,[9] The Euler scheme for Lévy driven stochastic differential equations: limit theorems. Ann. Probab. 32 (2004) 1830-1972. | Zbl
,[10] On asymptotic error in discretization of processes. Ann. Probab. 31 (2003) 592-608. | Zbl
, and ,[11] La variation d’ordre des semimartingales. Z. für Wahr. Th. 36 (1976) 285-316. | Zbl
,[12] Disentangling the jumps of the diffusion in a geometric jumping Brownian motion. Giornale dell'Instituto Italiano degli Attuari LXIV (2001) 19-47.
,[13] 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 :