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Standardisation in the retail banking sector: designing functions for an individualised asset allocation advisory

  • This article is about individualising the process of giving advice to a retail customer in the field of asset allocation. With regard to this process, two main contributions are made by answering two questions. First, which objectives are relevant for a customer (beyond return and risk) and which functions are adequate to evaluate portfolios of investment alternatives with regard to these objectives? Based on empirical literature on customers' goals, the four objectives liquidity, variability, comprehensiveness, and manageability are identified as relevant. The background of each objective is discussed in order to formulate desirable properties of the objective functions. These properties are then used to axiomatically identify particular functions from fuzzy theory suitable for the given context. The second question is: which selection function is adequate to select a particular portfolio out of a set of portfolios? To answer this question, again an axiomatic approach is chosen:This article is about individualising the process of giving advice to a retail customer in the field of asset allocation. With regard to this process, two main contributions are made by answering two questions. First, which objectives are relevant for a customer (beyond return and risk) and which functions are adequate to evaluate portfolios of investment alternatives with regard to these objectives? Based on empirical literature on customers' goals, the four objectives liquidity, variability, comprehensiveness, and manageability are identified as relevant. The background of each objective is discussed in order to formulate desirable properties of the objective functions. These properties are then used to axiomatically identify particular functions from fuzzy theory suitable for the given context. The second question is: which selection function is adequate to select a particular portfolio out of a set of portfolios? To answer this question, again an axiomatic approach is chosen: Several properties are discussed and stated which shall reflect the customer's decision calculus. By requiring these properties, the selection function can be exactly specified. The results can help financial services providers in two ways: On the one hand, they can provide their customers with a higher quality of their advisory services by taking into account more objectives than return and risk. On the other hand, as the derived functions are standardised, they can be used in software applications to support the advisory process which can then be offered at lower costs and thereby even to retail customers.show moreshow less

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Metadaten
Author:Marcus Kaiser, Hans Ulrich BuhlGND, Stefan Volkert, Veronica WinklerGND
URN:urn:nbn:de:bvb:384-opus4-384995
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/38499
ISSN:2199-1227OPAC
Parent Title (Multiple languages):Credit and Capital Markets – Kredit und Kapital
Publisher:Duncker & Humblot
Place of publication:Berlin
Type:Article
Language:English
Date of Publication (online):2018/06/27
Year of first Publication:2014
Publishing Institution:Universität Augsburg
Release Date:2018/06/27
Volume:47
Issue:1
First Page:103
Last Page:161
DOI:https://doi.org/10.3790/ccm.47.1.103
Institutes:Wirtschaftswissenschaftliche Fakultät
Wirtschaftswissenschaftliche Fakultät / Institut für Betriebswirtschaftslehre
Wirtschaftswissenschaftliche Fakultät / Institut für Betriebswirtschaftslehre / Lehrstuhl für Wirtschaftsinformatik, Informations- & Finanzmanagement
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)