Non Linear Moving-Average Conditional Heteroskedasticity
Daniel Ventosa-Santaulària () and
Alfonso Mendoza V.
MPRA Paper from University Library of Munich, Germany
Ever since the appearance of the ARCH model (Engle 1982a), an impressive array of variance specifications belonging to the same class of models has emerged. Despite numerous succesful developments, several studies seem to show their performance is not always satisfactory see Boulier (1994). In this paper a new alternative to model conditional heteroskedastic variance is proposed: the Non-Linear Moving Average Conditional Heteroskedasticity: (NLMACH). While NLMACH properties are similar to those of the ARCH-class specifications this new proposal represents a convenient alternative to modeling conditional volatility through a non-linear moving average process. The NLMACH performance is investigated using a Monte Carlo experiment and modeling exchange rate returns. It is found that NLMACH outperforms GARCHs forecasts whereas the application to exchange rates provides mixed evidence.
Keywords: Conditionally heteroskedastic models; NLMACH (q); Volatility; Fat tails. (search for similar items in EconPapers)
JEL-codes: C12 C13 C22 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Published in Varianza condicional de medias móviles no-lineales 298.LXXV(2008): pp. 29-48
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/58769/1/MPRA_paper_58769.pdf original version (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:58769
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().