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Catalogue Information
Field name	Details
Dewey Class	519.2
Title	High-Frequency Statistics with Asynchronous and Irregular Data ([EBook]) / by Ole Martin.
Author	Martin, Ole
Other name(s)	SpringerLink (Online service)
Publication	Wiesbaden : Springer Fachmedien Wiesbaden , 2019.
Physical Details	XIII, 323 pages : 34 illus. : online resource.
Series	Mathematische Optimierung und Wirtschaftsmathematik : Mathematical Optimization and Economathematics
ISBN	9783658284183
Note	Imprint: Springer Spektrum,
Summary Note	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.:
Contents note	Laws of Large Numbers -- Random Observation Schemes -- Bootstrapping Asymptotic Laws -- Testing for (Common) Jumps.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site	https://doi.org/10.1007/978-3-658-28418-3
Links to Related Works	Subject References: Economics, Mathematical . Probabilities . Probability theory and stochastic processes . Quantitative Finance . Statistics . Statistics for Business, Management, Economics, Finance, Insurance . Authors: author . Martin, Ole . Corporate Authors: SpringerLink (Online service) . Series: Mathematische Optimierung und Wirtschaftsmathematik : Mathematical Optimization and Economathematics . Classification: 519.2 . 519.2 (DDC 23) .

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High-Frequency Statistics with Asynchronous and Irregular Data

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