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Journal ArticleDOI

A novel portfolio selection model based on fuzzy goal programming with different importance and priorities

TLDR
A novel fuzzy portfolio selection model that takes into accounts the risk preferences in accordance with the market moving trends as well as the risk-return tradeoff, and allows the decision makers to define a certain importance and priority among their objectives is introduced.
Abstract
A novel fuzzy portfolio selection approach is proposed.This approach is based on the fuzzy goal programming techniques.Portfolio return, risk and beta coefficient are defined as the fuzzy goals.This approach allows defining certain importance and priority among fuzzy goals.The proposed approach considers the risk preferences of investor and market trend. Despite the risk-return tradeoff is main concern of financial theory; the rational investment decisions requires considering many criteria simultaneously. In addition to determining a certain importance and priority among these criteria, modeling the investor behaviors in accordance with market trends provides much more realistic approach. However, the researchers mostly overlook to evaluate these concepts simultaneously. This article introduces a novel fuzzy portfolio selection model that takes into accounts the risk preferences in accordance with the market moving trends as well as the risk-return tradeoff, and allows the decision makers to define a certain importance and priority among their objectives. To construct this model, firstly the portfolio return, risk and beta coefficient are assumed as main objectives including the possibilistic uncertainties. To define possibilistic uncertainty, the specific fuzzy membership functions are constituted for these objectives with respect to the risk preferences of investors and market moving trends. By means of the fuzzy goal programming techniques, a novel portfolio selection model is developed using these specific fuzzy membership functions. In the application section, three investment terms are examined in the Istanbul Stock Exchange National 30 Index. While ISE30 index has the upward (bullish) and the downward (bearish) moving trends in the first two implementations, the third implementation includes a scenario in which the investors desire to chase the ISE30 index. In the analyses, the proposed model is compared with the classical Mean-Variance, Mean-Absolute-Deviation and Maxmin models in terms of their portfolio returns based on the selling prices in the test periods. As a result, the proposed model gives superior performance than the classical models because it takes into account the investor preferences in accordance with market moving trend.

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Citations
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Journal ArticleDOI

A comprehensive review of deterministic models and applications for mean-variance portfolio optimization

TL;DR: A comprehensive survey on the deterministic models and applications suggested for mean-variance portfolio optimization in which several variants of this model as well as additional real-life constraints are studied.
Journal ArticleDOI

Improving stock index forecasts by using a new weighted fuzzy-trend time series method

TL;DR: This work proposes using new weighted operators in fuzzy time series to forecast the future performance of stock market indices, and defines both chronological-order and trend-order weights, and incorporates proposals for the ex-post forecast into the classical modeling approach of fuzzy timeseries.
Journal ArticleDOI

On the increasing importance of multiple criteria decision aid methods for portfolio selection

TL;DR: This paper reviews the papers that have been published that apply methods and procedures in an exact (as opposed to evolutionary) sense to address problems in portfolio selection with criteria beyond mean and variance and analyses the methodologies that allow the solution of the problem in a multiple criteria context.
Journal ArticleDOI

A new fuzzy multi-objective higher order moment portfolio selection model for diversified portfolios

TL;DR: The aim of this paper is to make use of the third and fourth moments for fuzzy multi-objective portfolio selection model to overcome the low diversity of the obtained solution set and lead to corner solutions for the conventional higher moment portfolio selection models.
Journal ArticleDOI

Portfolio model for analyzing human resources: An approach based on neuro-fuzzy modeling and the simulated annealing algorithm

TL;DR: A new model for developing a human resources portfolio based on a neuro-fuzzy approach that allows the priorities of the suggested strategies to be defined and enables employees to be scheduled by strategies is presented.
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Book ChapterDOI

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Posted Content

The Capital Asset Pricing Model: Some Empirical Tests

TL;DR: In this paper, the authors present some additional tests of the mean-variance formulation of the asset pricing model, which avoid some of the problems of earlier studies and provide additional insights into the nature of the structure of security returns.
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