Abstract
In this chapter, we describe fuzzy portfolio selection models using five criteria: short term return, long term return, dividend, risk and liquidity. For portfolio return, we consider short term return (average performance of the asset during a 12-month period), long term return (average performance of the asset during a 36-month period) and annual dividend. This is done in order to capture subjective preferences of the investors for portfolio return. For a given expected return, the negative semi-absolute deviation is penalized which quantifies portfolio risk. Further, we categorize all individual investor attitudes towards bearing portfolio risk into one of the following two distinct classes: aggressive (weak risk aversion attitude) and conservative (strong risk aversion attitude). The nonlinear S-shape membership functions are employed to express vague aspiration levels of the investor regarding the multiple criteria used for portfolio selection.
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© 2014 Springer-Verlag Berlin Heidelberg
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Gupta, P., Mehlawat, M.K., Inuiguchi, M., Chandra, S. (2014). Multi-criteria Fuzzy Portfolio Optimization. In: Fuzzy Portfolio Optimization. Studies in Fuzziness and Soft Computing, vol 316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54652-5_6
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DOI: https://doi.org/10.1007/978-3-642-54652-5_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54651-8
Online ISBN: 978-3-642-54652-5
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