Midlands State University Library

First-order asymptotic theory for parametric misspecification tests of garch models (Record no. 164615)

MARC details
000 -LEADER
fixed length control field 01864nam a22002417a 4500
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control field ZW-GwMSU
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control field 20240402142202.0
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fixed length control field 240402b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Language of cataloging English
Transcribing agency MSU
Description conventions rda
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number HB139.T52 ECO
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Halunga Andreea G
Relator term author
245 10 - TITLE STATEMENT
Title First-order asymptotic theory for parametric misspecification tests of garch models
Statement of responsibility, etc. by Andreea G. Halunga and Chris D. Orme
264 1# - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cambridge :
Name of producer, publisher, distributor, manufacturer Cambridge University Press
Date of production, publication, distribution, manufacture, or copyright notice 2009
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Economic theory
Volume/sequential designation Volume 25, number 2
520 ## - SUMMARY, ETC.
Summary, etc. This paper develops a framework for the construction and analysis of parametric misspecification tests for generalized autoregressive conditional heteroskedastic (GARCH) models, based on first-order asymptotic theory. The principal finding is that estimation effects from the correct specification of the conditional mean (regression) function can be asymptotically nonnegligible. This implies that certain procedures, such as the asymmetry tests of Engle and Ng (1993, Journal of Finance 48, 1749–1777) and the nonlinearity test of Lundbergh and Teräsvirta (2002, Journal of Econometrics 110, 417–435), are asymptotically invalid. A second contribution is the proposed use of alternative tests for asymmetry and/or nonlinearity that, it is conjectured, should enjoy improved power properties. A Monte Carlo study supports the principal theoretical findings and also suggests that the new tests have fairly good size and very good power properties when compared with the Engle and Ng (1993) and Lundbergh and Teräsvirta (2002) procedures.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Parametric misspecification tests
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Orme, Chris D.
Relator term co-author
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier 10.1017/S0266466608090129
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Serial Enumeration / chronology Total Checkouts Full call number Date last seen Copy number Price effective from Koha item type Public note
    Library of Congress Classification     Main Library Main Library - Special Collections 22/06/2010 vol. 25, no. 2 (pages 364-410)   HB139.T52 ECO 02/04/2024 SP3257 02/04/2024 Journal Article For in house use