A guide to Monte Carlo simulation concepts for assessment of risk-return profiles for regulatory purposes

  • Various regulatory initiatives (such as the pan-European PRIIP-regulation or the German chance-risk classification for state subsidized pension products) have been introduced that require product providers to assess and disclose the risk-return profile of their issued products by means of a key information document. We will in this context outline a concept for a (forward-looking) simulation-based approach and highlight its application and advantages. For reasons of comparison, we further illustrate the performance of approximation methods based on a projection of observed returns into the future such as the Cornish–Fisher expansion or bootstrap methods.

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Metadaten
Author:Stefan Graf, Ralf KornORCiD
URN:urn:nbn:de:hbz:386-kluedo-77268
DOI:https://doi.org/10.1007/s13385-020-00232-3
ISSN:2190-9741
Parent Title (English):European Actuarial Journal
Publisher:Springer Nature - Springer
Document Type:Article
Language of publication:English
Date of Publication (online):2024/02/29
Year of first Publication:2020
Publishing Institution:Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
Date of the Publication (Server):2024/02/29
Issue:10
Page Number:21
Source:https://link.springer.com/article/10.1007/s13385-020-00232-3
Faculties / Organisational entities:Kaiserslautern - Fachbereich Mathematik
DDC-Cassification:5 Naturwissenschaften und Mathematik / 510 Mathematik
Collections:Open-Access-Publikationsfonds
Licence (German):Zweitveröffentlichung