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High-Frequency Statistics with Asynchronous and Irregular Data

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Paru le : 2019-11-05

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 ...
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Description du livre


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.


?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 irregularlyobserved data.

À propos

Auteur
Ole Martin
Éditeur
Springer Spektrum
Collection
Mathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematics
Parution
2019-11-05
Pages
323 pages
EAN papier
9783658284176

Auteur(s) du livre


Defaut-Illustration Ole Martin

Caractéristiques détaillées - droits

EAN PDF
9783658284183
Prix
73,84 €
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
4874 Ko
Ce livre est accessible aux handicaps informations d'accessibilité

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