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High-Frequency Statistics with Asynchronous and Irregular Data

Record Type:	Language materials, printed : Monograph/item
Title/Author:	High-Frequency Statistics with Asynchronous and Irregular Data/ by Ole Martin.
Author:	Martin, Ole.
Description:	XIII, 323 p. 34 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Probabilities. -
Online resource:	https://doi.org/10.1007/978-3-658-28418-3
ISBN:	9783658284183

High-Frequency Statistics with Asynchronous and Irregular Data
Martin, Ole.

High-Frequency Statistics with Asynchronous and Irregular Data[electronic resource] /by Ole Martin. - 1st ed. 2019. - XIII, 323 p. 34 illus.online resource. - Mathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematics,2523-7926. - Mathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematics,.

Laws of Large Numbers -- Random Observation Schemes -- Bootstrapping Asymptotic Laws -- Testing for (Common) Jumps.

Ole Martin extends well-established techniques for the analysis of high-frequency data based on regular observations to the more general setting of asynchronous and irregular observations. Such methods are much needed in practice as real data usually comes in irregular form. In the theoretical part he develops laws of large numbers and central limit theorems as well as a new bootstrap procedure to assess asymptotic laws. The author then applies the theoretical results to estimate the quadratic covariation and to construct tests for the presence of common jumps. The simulation results show that in finite samples his methods despite the much more complex setting perform comparably well as methods based on regular data. Contents Laws of Large Numbers Random Observation Schemes Bootstrapping Asymptotic Laws Testing for (Common) Jumps Target Groups Scientists and students in the field of mathematical statistics, econometrics and financial mathematics Practitioners in the field of financial mathematics About the Author Dr. Ole Martin completed his PhD at the Kiel University (CAU), Germany. His research focuses on high-frequency statistics for semimartingales with the aim to develop methods based on irregularly observed data.

ISBN: 9783658284183

Standard No.: 10.1007/978-3-658-28418-3doiSubjects--Topical Terms:

527847
Probabilities.

LC Class. No.: QA273.A1-274.9

Dewey Class. No.: 519.2

High-Frequency Statistics with Asynchronous and Irregular Data
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