Zusammenfassung
In this article it is displayed how a model for asset allocation which reproduces the judgement-making process of an expert (via concepts based on fuzzy logic) can be individualised and extended in order to adapt it to the judgement-making process of other experts. Here, even after wide-ranging changes and additions, the advantages of the fuzzy approach remain, which consist of its flexibility, its realistic reproduction of expert knowledge and the comprehensibility of its results. In order to clarify the procedure, typical adaptation and extension requests for an asset allocation model are presented. The steps towards their implementation are shown on an application which was developed under the expert supervision of a leading international capital investment company. The composition of the examples shown is based on experiences from several presentations in which the model was presented to various financial service providers.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Literaturverzeichnis
Anon. (2016). Euribor-EBF. URL: http://www.euribor-ebf.eu (Accessed 14/08/2016).
Böckhoff, M.; Stracke, G. (2004). Der Finanzplaner: Handbuch der privaten Finanzplanung und individuellen Finanzberatung. 2nd Ed., Recht und Wirtschaft, Heidelberg.
Flach, J.; Rommelfanger, H. (2002). Fuzzy-Logik basiertes Bonitätsrating. In: Oehler, A. (Ed). Kreditrisikomanagement: Kernbereiche, Aufsicht und Entwicklungstendenzen. 2nd Ed., Schäffer-Poeschel, Stuttgart, 1 – 33.
Jänsch, M. (2004). Fuzzy-Logik basiertes Rating-System. Diploma thesis, Institute of Mathematical Economics, Economics Department, Goethe University, Frankfurt am Main.
Lehmann-Maldonado, S. (2006). Heikle Themen auf den Tisch bringen. Wealth Management, 4, 11 – 13.
Müller, J. (1999). Handbuch Geldanlage. Campus, Frankfurt am Main.
North, R. (2016). Fuzzy-Logic based Asset Allocation. Working paper Institute of Mathematical Economics, Economics Department, Goethe University, Frankfurt am Main.
Reittinger, W. (2006). Financial Planning im Wealth Management. In: Brost, H.; Faust, M. (Eds). Private Banking und Wealth Management, Bankakademie, Frankfurt am Main, 367 – 389.
Rommelfanger, H. (1993). Fuzzy Logik basierte Verarbeitung von Expertenregeln. OR-Spektrum, 15 (1), 31 – 42.
Rommelfanger, H. (1994). Fuzzy Decision Support-Systeme: Entscheiden bei Unschärfe. 2nd Ed., Springer, Berlin.
Rommelfanger, H.; Eickemeier, S. (2002). Entscheidungstheorie: Klassische Konzepte und Fuzzy-Erweiterungen. Springer, Berlin.
Rommelfanger, H. (2008). Mathematisch-statistische Verfahren und Fuzzy-Expertensysteme. In: Everling, O. (Ed.). Certified Rating Analyst, Oldenbourg, München, 159 – 185.
Schmidt, G. (2006). Persönliche Finanzplanung: Modelle und Methoden des Financial Planning. Springer, Berlin.
Scholz, C. (2006). Wertpapierformen und Derivate. In: Brechmann, A.; Glutting, T.; Harter, E.G. et al. (Eds.). Wertpapiere in Theorie und Praxis, 6th Ed., Deutscher Sparkassenverlag, Stuttgart, 286 – 529.
Spremann, K. (1999). Vermögensverwaltung. Oldenbourg, München.
Wyder, A. (2006). Methodik der privaten Vermögensplanung. In: Krauß, P. J. (Ed.). Financial Planning in der Praxis: Private Finanzplanung erfolgreich umsetzen, Gabler, Wiesbaden, 219 – 243.
Zadeh, L.A. (1965). Fuzzy Sets. Information and Control, 8, 338 – 353.
Zand Niapour, S. (2007). Fuzzy-Expertensystem für das Analysefeld Absatzmarkt und Marktstellung. Diploma thesis, Institute of Mathematical Economics, Economics Department, Goethe University, Frankfurt am Main.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Fachmedien Wiesbaden GmbH
About this chapter
Cite this chapter
North, R. (2017). Individualisation of a Fuzzy System for Asset Allocation. In: Spengler, T., Fichtner, W., Geiger, M., Rommelfanger, H., Metzger, O. (eds) Entscheidungsunterstützung in Theorie und Praxis. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-17580-1_7
Download citation
DOI: https://doi.org/10.1007/978-3-658-17580-1_7
Published:
Publisher Name: Springer Gabler, Wiesbaden
Print ISBN: 978-3-658-17579-5
Online ISBN: 978-3-658-17580-1
eBook Packages: Business and Economics (German Language)