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Optimal estimation of local time and occupation time measure for an α-stable Levy process

Chiara Amorino, Arturo Jaramillo, Mark Podolskij

Abstract

We present a novel theoretical result on estimation of local time and occupation time measure of an α-stable Lévy process with α in (1, 2). Our approach is based upon computing the conditional expectation of the desired quantities given high frequency data, which is an L^2-optimal statistic by construction. We prove the corresponding stable central limit theorems and discuss a statistical application. In particular, this work extends the results of [Ivanovs and i Podolskij (2021)], which investigated the case of the Brownian motion.

Optimal estimation of local time and occupation time measure for an α-stable Levy process

Abstract

We present a novel theoretical result on estimation of local time and occupation time measure of an α-stable Lévy process with α in (1, 2). Our approach is based upon computing the conditional expectation of the desired quantities given high frequency data, which is an L^2-optimal statistic by construction. We prove the corresponding stable central limit theorems and discuss a statistical application. In particular, this work extends the results of [Ivanovs and i Podolskij (2021)], which investigated the case of the Brownian motion.
Paper Structure (14 sections, 7 theorems, 89 equations)

This paper contains 14 sections, 7 theorems, 89 equations.

Key Result

Theorem 1.1

Suppose that $\phi:\mathbb{R}\rightarrow \mathbb{R}$ is a function satisfying $\phi,\phi^2\in L^1(\mathbb{R};\mathbb{R})$. Then, for every $t>0$,

Theorems & Definitions (15)

  • Theorem 1.1: Theorem 4 in J04
  • Lemma 2.1
  • Proposition 2.2
  • Theorem 2.3
  • Remark 2.4
  • Remark 2.5
  • Remark 2.6
  • Lemma 3.1
  • proof
  • Lemma 3.2
  • ...and 5 more