Abstract
We present some new asymptotic results for functionals of higher order differences of Brownian semi-stationary processes. In an earlier work [8] we have derived a similar asymptotic theory for first order differences. However, the central limit theorems were valid only for certain values of the smoothness parameter of a Brownian semi-stationary process, and the parameter values which appear in typical applications, e.g. in modeling turbulent flows in physics, were excluded. The main goal of the current paper is the derivation of the asymptotic theory for the whole range of the smoothness parameter by means of using second order differences. We present the law of large numbers for the multipower variation of the second order differences of Brownian semi-stationary processes and show the associated central limit theorem. Finally, we demonstrate some estimation methods for the smoothness parameter of a Brownian semi-stationary process as an application of our probabilistic results.
Mathematics Subject Classification (2010): Primary 60F05, 60G15, 62M09; Secondary 60G22, 60H07
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References
Aldous, D.J., Eagleson, G.K.: On mixing and stability of limit theorems. Ann. Probab. 6(2), 325–331 (1978)
Barndorff-Nielsen, O.E., Schmiegel, J.: Brownian semistationary processes and volatility/intermittency. In: Albrecher, H., Rungaldier, W., Schachermeyer, W. (eds.) Advanced Financial Modelling. Radon Series of Computational and Applied Mathematics, vol. 8, pp. 1–26. W. de Gruyter, Berlin (2009)
Barndorff-Nielsen, O.E., Shephard, N.: Power and bipower variation with stochastic volatility and jumps (with discussion). J. Financ. Econom. 2, 1–48 (2004)
Barndorff-Nielsen, O.E., Shephard, N.: Econometrics of testing for jumps in financial economics using bipower variation. J. Financ. Econom. 4, 1–30 (2006)
Barndorff-Nielsen, O.E., Graversen, S.E., Jacod, J., Podolskij, M., Shephard, N.: A central limit theorem for realised power and bipower variations of continuous semimartingales. In: Kabanov, Yu., Liptser, R., Stoyanov, J. (eds.) From Stochastic Calculus to Mathematical Finance: Festschrift in Honour of A.N. Shiryaev, pp. 33–68. Springer, Heidelberg (2006)
Barndorff-Nielsen, O.E., Shephard, N., Winkel, M.: Limit theorems for multipower variation in the presence of jumps. Stoch. Process. Appl. 116, 796–806 (2006)
Barndorff-Nielsen, O.E., Corcuera, J.M., Podolskij, M.: Power variation for Gaussian processes with stationary increments. Stoch. Process. Appl. 119, 1845–1865 (2009)
Barndorff-Nielsen, O.E., Corcuera, J.M., Podolskij, M.: Multipower variation for Brownian semistationary processes. Bernoulli, 17, 1159–1194 (2011)
Barndorff-Nielsen, O.E., Corcuera, J.M., Podolskij, M., Woerner, J.H.C.: Bipower variation for Gaussian processes with stationary increments. J. Appl. Probab. 46, 132–150 (2009)
Basse, A.: Gaussian moving averages and semimartingales. Electron. J. Probab. 13(39), 1140–1165 (2008)
Bingham, N.H., Goldie, C.M., Teugels, J.L.: Regular Variation. Cambridge University Press, Cambridge (1987)
Istas, J., Lang, G.: Quadratic variations and estimation of the local Hölder index of a Gaussian process. Annales de l’Institut Henri Poincaré Probabilités et Statistiques 33(4), 407–436 (1997)
Jacod, J.: Asymptotic properties of realized power variations and related functionals of semimartingales. Stoch. Process. Appl. 118, 517–559 (2008)
Jacod, J., Shiryaev, A.N.: Limit Theorems for Stochastic Processes, 2nd edn. Springer, Berlin (2003)
Kinnebrock, S., Podolskij, M.: A note on the central limit theorem for bipower variation of general functions. Stoch. Process. Appl. 118, 1056–1070 (2008)
Lang, G., Roueff, F.: Semi-parametric estimation of the Hölder exponent of a stationary Gaussian process with minimax rates. Stat. Inference Stoch. Process. 4, 283–306 (2001)
Lépingle, D.: La variation d’ordre p des semimartingales. Zeitschrift fur. Wahrscheinlichkeitsth und verwandte Gebiete 36, 285–316 (1976)
Nualart, D., Ortiz-Latorre, S.: Central limit theorems for multiple stochastic integrals and Malliavin calculus. Stoch. Process. Appl. 118, 614–628 (2008)
Nualart, D., Peccati, G.: Central limit theorems for sequences of multiple stochastic integrals. Ann. Probab. 33, 177–193 (2005)
Peccati, G., Tudor, C.A.: Gaussian limits for vector-valued multiple stochastic integrals. In: Emery, M., Ledoux, M., Yor, M. (eds.) Seminaire de Probabilites XXXVIII. Lecture Notes in Mathematics, vol. 1857, pp. 247–262. Springer, Berlin (2005)
Renyi, A.: On stable sequences of events. Sankhya A 25, 293–302 (1963)
Vetter, M.: Limit theorems for bipower variation of semimartingales. Stoch. Process. Appl. 120, 22–38 (2010)
Young, L.C.: An inequality of the Hölder type connected with Stieltjes integration. Acta Math. 67, 251–282 (1936)
Acknowledgements
Ole Barndorff-Nielsen and Mark Podolskij gratefully acknowledge financial support from CREATES funded by the Danish National Research Foundation.
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Barndorff-Nielsen, O.E., Corcuera, J.M., Podolskij, M. (2013). Limit Theorems for Functionals of Higher Order Differences of Brownian Semi-Stationary Processes. In: Shiryaev, A., Varadhan, S., Presman, E. (eds) Prokhorov and Contemporary Probability Theory. Springer Proceedings in Mathematics & Statistics, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33549-5_4
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DOI: https://doi.org/10.1007/978-3-642-33549-5_4
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