Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Share_itarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://dx.doi.org/10.25673/92...
Doctoral thesis . 2022
Data sources: Datacite
versions View all 1 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Scalarization functionals in mathematical finance and vector optimization : a new view on acceptance sets and risk measures

Authors: Marohn, Marcel;

Scalarization functionals in mathematical finance and vector optimization : a new view on acceptance sets and risk measures

Abstract

Risikomaße und Akzeptanzmengen sind wichtige Untersuchungsobjekte, die auf der von Artzner et al. 1999 eingeführten Axiomatik beruhen. Im aktuellen Umfeld steigender regulatorischer Anforderungen an Finanzinstitute hinsichtlich ihrer Kapital- und Risikopositionen sind optimale Finanzentscheidungen wesentlich. Diese Dissertation leistet einen wichtigen Beitrag zur Bestimmung kostenminimaler Investitionsentscheidungen zur Erfüllung solcher regulatorischen Vorgaben. Im Mittelpunkt steht dabei die Untersuchung der Eigenschaften des zugehörigen Risikofunktionals, die daraufhin wesentlich für die Bestimmung kostenminimaler Lösungen des Vektoroptimierungsproblems sind. Ferner werden die (schwach) effizienten Punkte der Akzeptanzmenge bestimmt und Zusammenhänge zur Löosung des beschriebenen Optimierungsproblems abgeleitet. Mittels eines besonders allgemeinen Finanzmarktmodells wird eine weitreichende Anwendbarkeit in Theorie und Praxis gewährleistet.

Risk measures and acceptance sets are important subjects in research, which are based on the axiomatic framework introduced by Artzner et al. in 1999. In the current environment of increasing regulatory demands on financial institutions with respect to their capital and risk positions, optimal financial decisions are crucial. This thesis makes an important contribution to the determination of cost-minimal investment decisions for fulfilling regulatory restrictions. The focus lies on the analysis of properties of the corresponding risk measure for deriving cost-minimal solutions of the institutional vector optimization problem afterwards. Moreover, we characterize (weakly) efficient points of the acceptance set and derive relationships to the solutions of the mentioned optimization problem. By assumption of a very general financial market model, we reach wide applicability in theory and practice.

Country
Germany
Keywords

ddc:510, 330, 510

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green