Statistical Inference in Multifractal Random Walk Models for Financial Time Series

Language: English

Published by Peter Lang Ltd. International Academic Publishers Apr 2011, 2011

3631606737 / 9783631606735

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This item is printed on demand - it takes 3-4 days longer - Neuware -The dynamics of financial returns varies with the return period, from high-frequency data to daily, quarterly or annual data. Multifractal Random Walk models can capture the statistical relation between returns and return periods, thus facilitating a more accurate representation of real price changes. This book provides a generalized method of moments estimation technique for the model parameters with enhanced performance in finite samples, and a novel testing procedure for multifractality. The resource-efficient computer-based manipulation of large datasets is a typical challenge in finance. In this connection, this book also proposes a new algorithm for the computation of heteroscedasticity and autocorrelation consistent (HAC) covariance matrix estimators that can cope with large datasets. 102 pp. Englisch.

Seller Inventory # 9783631606735

Title
Statistical Inference in Multifractal Random Walk Models for Financial Time Series
Author
Cristina Sattarhoff
Publisher
Peter Lang Ltd. International Academic Publishers Apr 2011
Publication year
2011
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3631606737
ISBN 13
9783631606735
Item weight
150 grams
Dimensions
210x148x5 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

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BuchWeltWeit Ludwig Meier e.K.

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