Abstract

In this paper we present new theoretical results on optimal estimation of certain random quantities based on high frequency observations of a Lévy process. More specifically, we investigate the asymptotic theory for the conditional mean and conditional median estimators of the supremum/infimum of a linear Brownian motion and a strictly stable Lévy process. Another contribution of our article is the conditional mean estimation of the local time and the occupation time of a linear Brownian motion. We demonstrate that the new estimators are considerably more efficient compared to the classical estimators studied in e.g. [6, 14, 29, 30, 38]. Furthermore, we discuss pre-estimation of the parameters of the underlying models, which is required for practical implementation of the proposed statistics.

Highlights

  • During the past decades the increasing availability of high frequency data in economics and finance has led to an immense progress in high frequency statistics

  • High frequency functionals of Itosemimartingales have received a great deal of attention in the statistical and probabilistic literature, where the focus has been on estimation of quadratic variation, realised jumps and related quantities

  • In the case of local/occupation time we only work with the class (i) of linear Brownian motions and focus on the conditional mean estimators exclusively, which is dictated by the structure of the problem and the tools currently available

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Summary

Introduction

During the past decades the increasing availability of high frequency data in economics and finance has led to an immense progress in high frequency statistics. The aim of our paper is to study optimal estimation of extrema, local time and occupation time of certain Levy processes Accurate estimation of these random functionals is important for numerous applications. In the case of local/occupation time we only work with the class (i) of linear Brownian motions and focus on the conditional mean estimators exclusively, which is dictated by the structure of the problem and the tools currently available. The proofs are collected in Appendix A and Appendix B for the supremum and local/occupation time, respectively The former requires some additional theory for Levy processes conditioned to stay positive which is given in Appendix C

Optimal estimation of supremum for a self-similar Levy process
Preliminaries
Optimal estimators
Limit theory
Linear Brownian motion
Joint estimation of supremum and infimum
Basic formulae
Estimators and the limit theory
Some modifications of the proposed statistics
Unknown parameters
Truncation of products in supremum estimators
Numerical illustration of the limit laws
Supremum estimation for Brownian motion
Supremum for one-sided stable process
Local time and occupation time for Brownian motion
Duality
On the function F in the stable case
Proof of Theorem 2
Convergence of the truncated versions
Uniform negligibility of truncation
On simplified estimators: proof of Corollary 3
Unknown parameters: proof of Proposition 1
Local time
Occupation time

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