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Modeling multiple regimes in financial volatility with a flexible coefficient GARCH (1,1) model (Record no. 164495)

MARC details
000 -LEADER
fixed length control field 02274nam a22002537a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240322084926.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240322b |||||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 02664666
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Language of cataloging English
Transcribing agency MSU
Description conventions rda
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HB139.T52 ECO
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Medeiros, Marcelo C
Relator term author
245 10 - TITLE STATEMENT
Title Modeling multiple regimes in financial volatility with a flexible coefficient GARCH (1,1) model
Statement of responsibility, etc. created by Marcelo C. Medeiros and Alvaro Veiga
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 Econometric theory
Volume/sequential designation Volume 25, number 1
520 3# - SUMMARY, ETC.
Summary, etc. n this paper a flexible multiple regime GARCH(1,1)-type model is developed to describe the sign and size asymmetries and intermittent dynamics in financial volatility. The results of the paper are important to other nonlinear GARCH models. The proposed model nests some of the previous specifications found in the literature and has the following advantages. First, contrary to most of the previous models, more than two limiting regimes are possible, and the number of regimes is determined by a simple sequence of tests that circumvents identification problems that are usually found in nonlinear time series models. The second advantage is that the novel stationarity restriction on the parameters is relatively weak, thereby allowing for rich dynamics. It is shown that the model may have explosive regimes but can still be strictly stationary and ergodic. A simulation experiment shows that the proposed model can generate series with high kurtosis and low first-order autocorrelation of the squared observations and exhibit the so-called Taylor effect, even with Gaussian errors. Estimation of the parameters is addressed, and the asymptotic properties of the quasi-maximum likelihood estimator are derived under weak conditions. A Monte-Carlo experiment is designed to evaluate the finite-sample properties of the sequence of tests. Empirical examples are also considered.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Financial economics
Form subdivision Volatility
General subdivision ARCH model
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Veiga, Alvaro
Relator term co author
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1017/S026646660809004X
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.1 (pages 117-161)   HB139.T52 ECO 22/03/2024 SP3256 22/03/2024 Journal Article For In House Use Only