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Non-Linear Moving-Average Conditional Heteroskedasticity (Paperback) Loot Price: R1,863
Discovery Miles 18 630
Non-Linear Moving-Average Conditional Heteroskedasticity (Paperback): Daniel Ventosa-Santaularia
Non-Linear Moving-Average Conditional Heteroskedasticity (Paperback): Daniel Ventosa-Santaularia

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Non-Linear Moving-Average Conditional Heteroskedasticity (Paperback)

Daniel Ventosa-Santaularia

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Loot Price R1,863 Discovery Miles 18 630 | Repayment Terms: R173 pm x 12*

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Heteroskedastic Conditional Variance Modeling is a particularly rich branch of Econometrics. Despite its young age, the literature embracing variance models is indeed impressive. Statistical treatment of financial time series has been profoundly enlarged by this class of models. Many characteristics of financial variables (leptokurticity, asymmetry,...) can now be modeled. Of course, in the search for better adjustment, the complexity has been significantly increased at a non-trivial cost. In this book we introduce three simple specifications based upon Robinson's (1977) NLMA model: QMACH, NLMACH and PLMVES. The first proposal belongs to the NLMA class whilst the second one is closely related to it. Both possess similar properties as those of the ARCH-class. Our last proposal, PLMVES, also considers long-memory by means of a new concept: Pseudo Long-Memory, an artifact allowing for long- memory modeling. These variance models have advantages none of the inspiring sources (ARCH and NLMA) possess. This book may help economists in their quest for a better comprehension of the variance of economic variables, particularly in the modeling of financial volatility.

General

Imprint: VDM Verlag
Country of origin: Germany
Release date: July 2009
First published: July 2009
Authors: Daniel Ventosa-Santaularia
Dimensions: 229 x 152 x 10mm (L x W x T)
Format: Paperback - Trade
Pages: 180
ISBN-13: 978-3-639-17513-4
Barcode: 9783639175134
Categories: Promotions
Books > Business & Economics > Economics
Books > Business & Economics > Economics > General
LSN: 3-639-17513-1

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