Publikation: Asymptotically stable dynamic risk assessments
Lade...
Dateien
Zu diesem Dokument gibt es keine Dateien.
Datum
2016
Autor:innen
Eisele, Karl-Theodor
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
DOI (zitierfähiger Link)
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Sammlungen
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Statistics & Risk Modeling. 2016, 33(1-2), pp. 41-50. ISSN 2193-1402. eISSN 2196-7040. Available under: doi: 10.1515/strm-2012-1146
Zusammenfassung
In this paper we study asymptotically stable risk assessments (or equivalently risk measures) which have the property that an unacceptable position cannot become acceptable by adding a huge cash-flow far in the future. Under an additional continuity assumption, these risk assessments are exactly those which have a robust representation in terms of test probabilities that are supported on a finite time interval. For time-consistent risk assessments we give conditions on their generators which guarantee asymptotic stability.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
510 Mathematik
Schlagwörter
Konferenz
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690
EISELE, Karl-Theodor, Michael KUPPER, 2016. Asymptotically stable dynamic risk assessments. In: Statistics & Risk Modeling. 2016, 33(1-2), pp. 41-50. ISSN 2193-1402. eISSN 2196-7040. Available under: doi: 10.1515/strm-2012-1146BibTex
@article{Eisele2016-01-01Asymp-40950, year={2016}, doi={10.1515/strm-2012-1146}, title={Asymptotically stable dynamic risk assessments}, number={1-2}, volume={33}, issn={2193-1402}, journal={Statistics & Risk Modeling}, pages={41--50}, author={Eisele, Karl-Theodor and Kupper, Michael} }
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/123456789/40950"> <dcterms:title>Asymptotically stable dynamic risk assessments</dcterms:title> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-12-15T13:21:53Z</dc:date> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/39"/> <dc:contributor>Kupper, Michael</dc:contributor> <dcterms:abstract xml:lang="eng">In this paper we study asymptotically stable risk assessments (or equivalently risk measures) which have the property that an unacceptable position cannot become acceptable by adding a huge cash-flow far in the future. Under an additional continuity assumption, these risk assessments are exactly those which have a robust representation in terms of test probabilities that are supported on a finite time interval. For time-consistent risk assessments we give conditions on their generators which guarantee asymptotic stability.</dcterms:abstract> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:creator>Eisele, Karl-Theodor</dc:creator> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/39"/> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/40950"/> <dc:language>eng</dc:language> <dcterms:issued>2016-01-01</dcterms:issued> <dc:creator>Kupper, Michael</dc:creator> <dc:contributor>Eisele, Karl-Theodor</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-12-15T13:21:53Z</dcterms:available> <foaf:homepage rdf:resource="http://localhost:8080/"/> </rdf:Description> </rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja