Pape, Katharina, Wied, Dominik and Galeano, Pedro ORCID: 0000-0003-2577-2747 (2016). Monitoring multivariate variance changes. J. Empir. Financ., 39. S. 54 - 69. AMSTERDAM: ELSEVIER SCIENCE BV. ISSN 1879-1727

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Abstract

We propose a model-independent multivariate sequential procedure to monitor changes in the vector of componentwise unconditional variances in a sequence of p-variate random vectors. The asymptotic behavior of the detector is derived and consistency of the procedure stated. A detailed simulation study illustrates the performance of the procedure confronted with different types of data generating processes. We conclude with an application to the log returns of a group of DAX listed assets. (C) 2016 Elsevier Ltd. All rights reserved.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Pape, KatharinaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wied, DominikUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Galeano, PedroUNSPECIFIEDorcid.org/0000-0003-2577-2747UNSPECIFIED
URN: urn:nbn:de:hbz:38-253896
DOI: 10.1016/j.jempfin.2016.08.007
Journal or Publication Title: J. Empir. Financ.
Volume: 39
Page Range: S. 54 - 69
Date: 2016
Publisher: ELSEVIER SCIENCE BV
Place of Publication: AMSTERDAM
ISSN: 1879-1727
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
AUTOREGRESSIVE CONDITIONAL HETEROSKEDASTICITY; STRUCTURAL-CHANGE; GENERALIZED ARCH; LINEAR-MODELS; SERIES; VOLATILITYMultiple languages
Business, Finance; EconomicsMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/25389

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