Publikation:

Dynamic Modelling and Forecasting of Realized Covariance Matrices

Lade...
Vorschaubild

Dateien

Chiriac_opus-105743.pdf
Chiriac_opus-105743.pdfGröße: 362.92 KBDownloads: 405

Datum

2007

Autor:innen

Voev, Valeri

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Auflagebezeichnung

DOI (zitierfähiger Link)
ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Green
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Working Paper/Technical Report
Publikationsstatus
Published

Erschienen in

Zusammenfassung

This paper proposes a methodology for modelling time series of realized covariance matrices in order to forecast multivariate risks. The model is based on a multivariate, fractionally integrated Autoregressive Moving Average (ARMA) process for the elements of the Cholesky factors of the observed matrix series. This approach allows for joint modelling of the whole covariance matrix and guarantees positive definiteness of the resulting forecasts without imposing parameter restrictions on the model. The model is particularly suited to capture the long memory, typically observed in volatility processes of financial assets. We describe the forecasting procedure and provide an empirical application.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
330 Wirtschaft

Schlagwörter

Forecasting, Fractional integration, Long memory processes, Realized covariance

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Verknüpfte Datensätze

Zitieren

ISO 690CHIRIAC, Roxana, Valeri VOEV, 2007. Dynamic Modelling and Forecasting of Realized Covariance Matrices
BibTex
@techreport{Chiriac2007Dynam-1894,
  year={2007},
  series={CoFE-Diskussionspapiere / Zentrum für Finanzen und Ökonometrie},
  title={Dynamic Modelling and Forecasting of Realized Covariance Matrices},
  number={2007/},
  author={Chiriac, Roxana and Voev, Valeri},
  note={Link zur Originalveröffentlichung: <br /> http://www.eea-esem.com/files/papers/EEA-ESEM/2008/975/Chiriac_Voev.pdf}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/1894">
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Voev, Valeri</dc:creator>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/46"/>
    <dcterms:issued>2007</dcterms:issued>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-23T09:36:18Z</dc:date>
    <dc:rights>terms-of-use</dc:rights>
    <dc:contributor>Voev, Valeri</dc:contributor>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/1894/1/Chiriac_opus-105743.pdf"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/1894/1/Chiriac_opus-105743.pdf"/>
    <dc:contributor>Chiriac, Roxana</dc:contributor>
    <dcterms:title>Dynamic Modelling and Forecasting of Realized Covariance Matrices</dcterms:title>
    <dcterms:abstract xml:lang="deu">This paper proposes a methodology for modelling time series of realized covariance matrices in order to forecast multivariate risks. The model is based on a multivariate, fractionally integrated Autoregressive Moving Average (ARMA) process for the elements of the Cholesky factors of the observed matrix series. This approach allows for joint modelling of the whole covariance matrix and guarantees positive definiteness of the resulting forecasts without imposing parameter restrictions on the model. The model is particularly suited to capture the long memory, typically observed in volatility processes of financial assets. We describe the forecasting procedure and provide an empirical application.</dcterms:abstract>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/46"/>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/1894"/>
    <dc:creator>Chiriac, Roxana</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:language>eng</dc:language>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-23T09:36:18Z</dcterms:available>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Link zur Originalveröffentlichung:
http://www.eea-esem.com/files/papers/EEA-ESEM/2008/975/Chiriac_Voev.pdf
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen