Fuzzy multi-criteria decision-making for evaluating mutual fund strategies

Shin-Yun Wang and Cheng Few Lee

Applied Economics, 2011, vol. 43, issue 24, 3405-3414

Abstract: Investors often need to evaluate investment strategies according to their own subjective preferences based upon various criteria. This situation can be regarded as a Fuzzy Multiple Criteria Decision-Making (FMCDM) problem. The purpose of this study is to propose an FMCDM approach with fuzzy integral. This approach relaxes the independence assumption among criteria for the evaluation of the Multiple Criteria Decision-Making (MCDM) problems, which is oftentimes the basic assumption in applying hierarchical system for evaluating the strategies of selecting investment style. We also employ Triangular Fuzzy Numbers (TFNs) to represent the decision-makers' subjective preferences on the criteria, as well as for the criteria measurements to evaluate mutual funds investment style. To achieve this objective, first, we employ factor analysis to extract four independent common factors from those criteria. Second, we construct the evaluation frame using hierarchical system composed of four common factors with 16 evaluation criteria, and then derive the relative weights with respect to the considered criteria. Third, the synthetic utility value corresponding to each mutual fund's investment style is aggregated by the fuzzy weights with fuzzy performance values. Finally, we compare with empirical data and find that the model of FMCDM predicts the rate of return very accurately in certain ranges of λ, hence the nonadditive fuzzy integral technique is an effective method for evaluating mutual funds' strategy.

Date: 2011
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/00036841003636318 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:applec:v:43:y:2011:i:24:p:3405-3414

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036841003636318

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().