Sharia Stock Selection in Indonesia Stock Exchange (IDX) : A fuzzy-ANP Approach

Abstract views: 585 , PDF downloads: 495
Keywords: sharia stock selection, fuzzy analytic network process, Indonesia stock exchange

Abstract

The purpose of this study is to develop a fuzzy analytic network process (FANP) model to evaluate and select a portfolio of Islamic stocks on the Indonesia Stock Exchange (IDX). A fuzzy analytic network process (FANP) is used to the develop indicator and portfolio selection ranking. It can make it easier for investors to make investment decisions through financial portfolio return. However, in fact and reality, investors need fast investment decision, therefore, portfolio selection is most important. The fuzzy-ANP analysis method can be used to evaluate and to make prioritize ranking of investment decision variables. The results of this study are found that profitability is the most important criterion for investors to select Islamic stock portfolios in Indonesia stock exchange. In addition, the value of Return on assets (ROA), Return on equity (ROE), Return on Investment (ROI), Net profit margin (NPM), Earning per share, return on sales Ratio and Return on Capital of a company. 

Author Biography

Muhammad Abdul Ghoni, Universitas Al-Azhar

Muhammad Abdul Ghoni, Phd

Department of Management, Faculty of Business and Management, Universitas Al-Azhar Indonesia

References

Alhassan, A., & Naka, A. (2020). Corporate future investments and stock liquidity: Evidence from emerging markets. International Review of Economics and Finance, 65, 69–83. https://doi.org/10.1016/j.iref.2019.10.002

Alinezhad, A. (2018). Combination of DEA and ANP-QUALIFLEX Methods to determine the most Efficient Portfolio ( Case study : Tehran Stock Exchange ), 3(9), 79–90.

Aouni, B., Doumpos, M., Pérez-Gladish, B., & Steuer, R. E. (2018). On the increasing importance of multiple criteria decision aid methods for portfolio selection. Journal of the Operational Research Society, 69(10), 1525–1542. https://doi.org/10.1080/01605682.2018.1475118

Dutta, S., Biswal, M. P., Acharya, S., & Mishra, R. (2018). Fuzzy stochastic price scenario based portfolio selection and its application to BSE using genetic algorithm. Applied Soft Computing Journal, 62, 867–891. https://doi.org/10.1016/j.asoc.2017.09.018

Galankashi, M. R., Rafiei, F. M., & Ghezelbash, M. (2020). Portfolio selection : a fuzzy-ANP approach (Vol. 4). Financial Innovation.

Ghannadpour, S. F., jokar, maryam, & Makui, A. (2018). Fuzzy analytical network process logic for performance measurement system of e-learning centers of universities. Journal of Industrial and Systems Engineering, 11(3), 261–280. Retrieved from http://www.jise.ir/article_68761.html%0Ahttp://www.jise.ir/article_68761_b61763886e92bd61c79c5610ac362207.pdf%0Ahttps://lens.org/179-760-875-132-780

Gölcük, I., & Baykasoʇlu, A. (2016). An analysis of DEMATEL approaches for criteria interaction handling within ANP. Expert Systems with Applications, 46, 346–366. https://doi.org/10.1016/j.eswa.2015.10.041

Karakosta, C., Mylona, Z., Karásek, J., Papapostolou, A., & Geiseler, E. (2021). Tackling covid-19 crisis through energy efficiency investments: Decision support tools for economic recovery. Energy Strategy Reviews, 38(October). https://doi.org/10.1016/j.esr.2021.100764

Lee, W. S., Huang, A. Y., Chang, Y. Y., & Cheng, C. M. (2011). Analysis of decision making factors for equity investment by DEMATEL and Analytic Network Process. Expert Systems with Applications, 38(7), 8375–8383. https://doi.org/10.1016/j.eswa.2011.01.027

Li, C., Su, Z. W., Yaqoob, T., & Sajid, Y. (2021). COVID-19 and currency market: a comparative analysis of exchange rate movement in China and USA during pandemic. Economic Research-Ekonomska Istrazivanja , 0(0), 1–16. https://doi.org/10.1080/1331677X.2021.1959368

Li, Z., Li, X., Hui, Y., & Wong, W. K. (2018). Maslow portfolio selection for individuals with low financial sustainability. Sustainability (Switzerland), 10(4), 1–11. https://doi.org/10.3390/su10041128

Lv, L., Zhang, B., Peng, J., & Ralescu, D. A. (2020). Uncertain Portfolio Selection with Borrowing Constraint and Background. Mathematical Problems in Engineering, 2020.

Mansour, N., Cherif, M. S., & Abdelfattah, W. (2019). Multi-objective imprecise programming for financial portfolio selection with fuzzy returns. Expert Systems with Applications, 138, 112810. https://doi.org/10.1016/j.eswa.2019.07.027

Masmoudi, M., & Abdelaziz, F. Ben. (2018). Portfolio selection problem: a review of deterministic and stochastic multiple objective programming models. Annals of Operations Research, 267(1–2), 335–352. https://doi.org/10.1007/s10479-017-2466-7

Otoritas Jasa Keuangan. (2021). Market Update Pasar modal Syariah Indonesia. Market Update Pasar Modal Syariah Indonesia, 6(4), 14.

Peykani, P., Mohammadi, E., Jabbarzadeh, A., Rostamy-Malkhalifeh, M., & Pishvaee, M. S. (2020). A novel two-phase robust portfolio selection and optimization approach under uncertainty: A case study of Tehran stock exchange. PLoS ONE (Vol. 15). https://doi.org/10.1371/journal.pone.0239810

Tohidi, A., Ghorbani, M., Karbasi, A. R., Asgharpourmasouleh, A., & Hassani-Mahmooei, B. (2020). Comparison of Fuzzy Multi-Criteria Decision-Making Methods to Rank Business Strategies and Marketing Resources. Agris On-Line Papers in Economics and Informatics, 12(3), 101–114. https://doi.org/10.7160/AOL.2020.120309

Xidonas, P., Steuer, R., & Hassapis, C. (2020). Robust portfolio optimization: a categorized bibliographic review. Annals of Operations Research, 292(1), 533–552. https://doi.org/10.1007/s10479-020-03630-8

Yoshino, N., Taghizadeh-Hesary, F., & Otsuka, M. (2021). Covid-19 and Optimal Portfolio Selection for Investment in Sustainable Development Goals. Finance Research Letters, 38(January), 101695. https://doi.org/10.1016/j.frl.2020.101695

PlumX Metrics

Published
2022-04-18
Section
Articles