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Lévy Matters IV: Estimation for Discretely Observed Lévy Processes

✍ Scribed by Denis Belomestny, Fabienne Comte, Valentine Genon-Catalot, Hiroki Masuda, Markus Reiß (auth.)

Publisher
Springer International Publishing
Year
2015
Tongue
English
Leaves
303
Series
Lecture Notes in Mathematics 2128 Lévy Matters
Edition
1
Category
Library
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✦ Synopsis

The aim of this volume is to provide an extensive account of the most recent advances in statistics for discretely observed Lévy processes. These days, statistics for stochastic processes is a lively topic, driven by the needs of various fields of application, such as finance, the biosciences, and telecommunication.

The three chapters of this volume are completely dedicated to the estimation of Lévy processes, and are written by experts in the field. The first chapter by Denis Belomestny and Markus Reiß treats the low frequency situation, and estimation methods are based on the empirical characteristic function. The second chapter by Fabienne Comte and Valery Genon-Catalon is dedicated to non-parametric estimation mainly covering the high-frequency data case. A distinctive feature of this part is the construction of adaptive estimators, based on deconvolution or projection or kernel methods. The last chapter by Hiroki Masuda considers the parametric situation. The chapters cover the main aspects of the estimation of discretely observed Lévy processes, when the observation scheme is regular, from an up-to-date viewpoint.

✦ Table of Contents

Front Matter....Pages i-xv
Estimation and Calibration of Lévy Models via Fourier Methods....Pages 1-76
Adaptive Estimation for Lévy Processes....Pages 77-177
Parametric Estimation of Lévy Processes....Pages 179-286
Back Matter....Pages 287-288

✦ Subjects

Probability Theory and Stochastic Processes; Statistics for Business/Economics/Mathematical Finance/Insurance; Game Theory/Mathematical Methods

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