The era of modern portfolio theory began with the revolutionary approach by Harry Markowitz in 1952. However, several drawbacks of the model have rendered it impractical to be used in reality. Thus, various modifications have been done to refine the classical model, including concerns about risk measures, trading practices and computational efficiency. On the other hand, Islamic finance is proven to be a viable alternative to the conventional system following its outstanding performance during the financial crisis in 2008. This emerging sector has gained a lot of attention from investors and economists due to its significantly increasing impact on today's economy, corresponding to globalization and a demand for a sustainable investment strategy. A comprehensive literature review of the notable conventional and Islamic models is done to aid future research and development of portfolio optimization, particularly for Islamic investment. Additionally, the study provides a concisely detailed overview of the principles of Islamic finance to prepare for the future development of an Islamic finance model. Generally, this study outlines the comprehensive features of portfolio optimization models over the decades, with an attempt to classify and categorize the advantages and drawbacks of the existing models. The trend of portfolio optimization modelling can be captured by gathering and recording the problems and solutions of the reviewed models.
Citation: Doong Toong Lim, Khang Wen Goh, Yee Wai Sim. A review on portfolio optimization models for Islamic finance[J]. AIMS Mathematics, 2023, 8(5): 10329-10356. doi: 10.3934/math.2023523
The era of modern portfolio theory began with the revolutionary approach by Harry Markowitz in 1952. However, several drawbacks of the model have rendered it impractical to be used in reality. Thus, various modifications have been done to refine the classical model, including concerns about risk measures, trading practices and computational efficiency. On the other hand, Islamic finance is proven to be a viable alternative to the conventional system following its outstanding performance during the financial crisis in 2008. This emerging sector has gained a lot of attention from investors and economists due to its significantly increasing impact on today's economy, corresponding to globalization and a demand for a sustainable investment strategy. A comprehensive literature review of the notable conventional and Islamic models is done to aid future research and development of portfolio optimization, particularly for Islamic investment. Additionally, the study provides a concisely detailed overview of the principles of Islamic finance to prepare for the future development of an Islamic finance model. Generally, this study outlines the comprehensive features of portfolio optimization models over the decades, with an attempt to classify and categorize the advantages and drawbacks of the existing models. The trend of portfolio optimization modelling can be captured by gathering and recording the problems and solutions of the reviewed models.
[1] | E. J. Elton, M. J. Gruber, S. J. Brown, Modern portfolio theory and investment analysis, 9 Eds., Wiley Global Education, 2013. |
[2] | D. Peris, Getting back to business: Why modern portfolio theory fails investors and how you can bring common sense to your portfolio, McGraw-Hill Education, 2018. |
[3] | H. Markowitz, Portfolio selection, The Journal of Finance, 7 (1952), 77–91. https://doi.org/10.2307/2975974 doi: 10.2307/2975974 |
[4] | M. I. Tabash, R. S. Dhankar, The flow of Islamic finance and economic growth: an empirical evidence of Middle East, Journal of Finance and Accounting, 2 (2014), 11–19. https://doi.org/10.11648/j.jfa.20140201.12 doi: 10.11648/j.jfa.20140201.12 |
[5] | M. Hussain, A. Shahmoradi, R. Turk, An overview of Islamic finance, J. Int. Commer. Econ. Po., 7 (2016), 1650003. https://doi.org/10.1142/S1793993316500034 doi: 10.1142/S1793993316500034 |
[6] | M. Arouri, H. Ben Ameur, N. Jawadi, F. Jawadi, W. Louhichi, Are Islamic finance innovations enough for investors to escape from a financial downturn? Further evidence from portfolio simulations, Appl. Econ., 45 (2013), 3412–3420. https://doi.org/10.1080/00036846.2012.707776 doi: 10.1080/00036846.2012.707776 |
[7] | M. M. Butt, E. C. de-Run, A. U-Din, D. Mutum, Religious symbolism in Islamic financial service advertisements, J. Islamic Mark., 9 (2018), 384–401. https://doi.org/10.1108/JIMA-03-2017-0034 doi: 10.1108/JIMA-03-2017-0034 |
[8] | Imamuddin, A. Saeed, A. W. Arain, Principles of Islamic economics in the light of the Holy Quran and Sunnah, International Journal of Humanities and Social Science Invention, 5 (2016), 48–54. |
[9] | D. Hoggarth, The rise of Islamic finance: post-colonial market-building in central Asia and Russia, Int. Aff., 92 (2016), 115–136. https://doi.org/10.1111/1468-2346.12508 doi: 10.1111/1468-2346.12508 |
[10] | S. M. Yunus, Z. Kamaruddin, R. Embong, The concept of Islamic banking from the Islamic worldview, International Journal of Academic Research in Business and Social Sciences, 8 (2018), 539–550. http://doi.org/10.6007/IJARBSS/v8-i11/4928 doi: 10.6007/IJARBSS/v8-i11/4928 |
[11] | I. Tahir, M. Brimble, Islamic investment behaviour, Int. J. Islamic Middle, 4 (2011), 116–130. https://doi.org/10.1108/17538391111144515 doi: 10.1108/17538391111144515 |
[12] | A. H. Gait, A. C. Worthington, A primer on Islamic finance: definitions, sources, principles and methods, University of Wollongong, School of Accounting and Finance Working Paper Series, 2007, No. 07/05. |
[13] | O. M. Imad, M. S. A. Razimi, M. F. Osman, Investment in the light of Quran, Sunnah, and Islamic jurisprudence, Journal of Global Business and Social Entrepreneurship, 3 (2017), 1–11. |
[14] | Journal of the Malaysian Judiciary July 2020, Judicial Appointments Commission, 2020. Available from: https://www.jac.gov.my/spk/images/stories/4_penerbitan/journal_malaysian_judiciary/julai2020.pdf. |
[15] | M. A. Uddin, Principles of Islamic finance: prohibition of riba, gharar and maysir, 2015, preprint. https://doi.org/10.13140/RG.2.2.36029.20969 |
[16] | Z. Iqbal, A. Mirakhor, An introduction to Islamic finance: theory and practice, 2 Eds., John Wiley & Sons, 2011. https://doi/org/10.1002/9781118390474 |
[17] | H. Visser, Islamic finance: principles and practice, Edward Elgar Publishing, 2019. |
[18] | M. Todorof, Shariah-compliant fintech in the banking industry, ERA Forum, 19 (2018), 1–17. https://doi.org/10.1007/s12027-018-0505-8 doi: 10.1007/s12027-018-0505-8 |
[19] | A. A. Jobst, Derivatives in Islamic finance, In: International Conference on Islamic Capital Markets, 2008, 97. |
[20] | M. T. Usmani, Principles of Shariah governing Islamic investment funds, 2007. |
[21] | A. U. F. Ahmad, M. K. Hassan, Riba and Islamic banking, Journal of Islamic Economics, Banking and Finance, 3 (2007), 1–33. |
[22] | A. W. Dusuki, A. Abozaid, Fiqh issues in short selling as implemented in the Islamic capital market in Malaysia, Journal of King Abdulaziz University: Islamic Economics, 21 (2008), 63–78. https://doi.org/10.4197/islec.21-2.3 doi: 10.4197/islec.21-2.3 |
[23] | M. M. Alam, C. S. Akbar, S. M. Shahriar, M. M. Elahi, The Islamic Shariah principles for investment in stock market, Qual. Res. Financ. Mark., 9 (2017), 132–146. https://doi.org/10.1108/QRFM-09-2016-0029 doi: 10.1108/QRFM-09-2016-0029 |
[24] | Bank Negara Malaysia, Regulated Short-Selling of Securities in the Wholesale of Money Market, 2017. Available from: https://www.bnm.gov.my/-/regulated-short-selling-of-securities-in-the-wholesale-money-market-1. |
[25] | M. H. Rahman, Application of constructive possession (Qabd Hukmi) in Islamic banking products: Shariah analysis, Turk. J. Islamic Econ., 7 (2020), 81–102. https://doi.org/10.26414/A075 doi: 10.26414/A075 |
[26] | R. Calder, Short-selling replication in Islamic finance: innovation and debate in Malaysia and beyond, In: Current Issues in Islamic Banking and Finance, World Scientific, 2010,277–315. https://doi.org/10.1142/9789812833938_0014 |
[27] | E. R. Embong, R. Taha, M. N. M. Nor, Role of zakat to eradicate poverty in Malaysia, Jurnal Pengurusan, 39 (2013), 141–150. https://doi.org/10.17576/pengurusan-2013-39-13 doi: 10.17576/pengurusan-2013-39-13 |
[28] | S. Nagaoka, Resuscitation of the antique economic system or novel sustainable system?: Revitalization of the traditional Islamic economic institutions (Waqf and Zakat) in the Postmodern Era, Kyoto Bulletin of Islamic Area Studies, 7 (2014), 3–19. http://doi.org/10.14989/185839 doi: 10.14989/185839 |
[29] | P. Dhar, Zakat as a measure of social justice in Islamic finance: an accountant's overview, Journal of Emerging Economies and Islamic Research, 1 (2013), 64–74. https://doi.org/10.24191/jeeir.v1i1.9118 doi: 10.24191/jeeir.v1i1.9118 |
[30] | S. M. Ibrahim, The role of zakat in establishing social welfare and economic sustainability, International Journal of Management and Commerce Innovations, 3 (2015), 437–441. https://doi.org/10.5430/ijfr.v11n6p196 doi: 10.5430/ijfr.v11n6p196 |
[31] | M. Clarke, Handbook of research on development and religion, Edward Elgar Publishing, 2013. |
[32] | Bursa Malaysia, FAQs on Zakat on Shares, 2021. Available from: https://www.bursamalaysia.com/reference/faqs/islamic_market/faqs_on_zakat_on_shares. |
[33] | H. Markowitz, Portfolio selection: efficient diversification of investments, Yale University Press, 1959. |
[34] | H. Konno, H. Yamazaki, Mean-absolute deviation portfolio optimization model and its applications to Tokyo stock market, Manage. Sci., 37 (1991), 519–531. https://doi.org/10.1287/mnsc.37.5.519 doi: 10.1287/mnsc.37.5.519 |
[35] | H. Konno, H. Shirakawa, H. Yamazaki, A mean-absolute deviation-skewness portfolio optimization model, Ann. Oper. Res., 45 (1993), 205–220. https://doi.org/10.1007/BF02282050 doi: 10.1007/BF02282050 |
[36] | H. Konno, K.-i. Suzuki, A mean-variance-skewness portfolio optimization model, J. Oper. Res. Soc. Jpn., 38 (1995), 173–187. https://doi.org/10.15807/jorsj.38.173 doi: 10.15807/jorsj.38.173 |
[37] | P. Jorion, Risk2: Measuring the risk in value at risk, Financ. Anal. J., 52 (1996), 47–56. https://doi.org/10.2469/faj.v52.n6.2039 doi: 10.2469/faj.v52.n6.2039 |
[38] | M. R. Young, A minimax portfolio selection rule with linear programming solution, Manage. Sci., 44 (1998), 673–683. https://doi.org/10.1287/mnsc.44.5.673 doi: 10.1287/mnsc.44.5.673 |
[39] | R. T. Rockafellar, S. Uryasev, Optimization of conditional value-at-risk, J. Risk, 2 (2000), 21–42. https://doi.org/10.21314/JOR.2000.038 doi: 10.21314/JOR.2000.038 |
[40] | C. B. Kalayci, O. Ertenlice, M. A. Akbay, A comprehensive review of deterministic models and applications for mean-variance portfolio optimization, Expert Syst. Appl., 125 (2019), 345–368. https://doi.org/10.1016/j.eswa.2019.02.011 doi: 10.1016/j.eswa.2019.02.011 |
[41] | V. Boasson, E. Boasson, Z. Zhou, Portfolio optimization in a mean-semivariance framework, Investment Management and Financial Innovations, 8 (2011), 58–68. |
[42] | H. Konno, Piecewise linear risk function and portfolio optimization, J. Oper. Res. Soc. Jpn., 33 (1990), 139–156. https://doi.org/10.15807/jorsj.33.139 doi: 10.15807/jorsj.33.139 |
[43] | A. Yoshimoto, The mean-variance approach to portfolio optimization subject to transaction costs, J. Oper. Res. Soc. Jpn., 39 (1996), 99–117. https://doi.org/10.15807/jorsj.39.99 doi: 10.15807/jorsj.39.99 |
[44] | P. Jorion, Portfolio optimization in practice, Financ. Anal. J., 48 (1992), 68–74. https://doi.org/10.2469/faj.v48.n1.68 doi: 10.2469/faj.v48.n1.68 |
[45] | C. S. Pedersen, S. E. Satchell, Choosing the right measure of risk: a survey, In: The current state of economic science, 1998. |
[46] | L. A. T. Cox, Why risk is not variance: an expository note, Risk Anal., 28 (2008), 925–928. https://doi.org/10.1111/j.1539-6924.2008.01062.x doi: 10.1111/j.1539-6924.2008.01062.x |
[47] | N. Bagheri, Deterministic goal programming approach for Islamic portfolio selection, Oper. Res., 21 (2021), 1447–1459. https://doi.org/10.1007/s12351-019-00517-w doi: 10.1007/s12351-019-00517-w |
[48] | S. A. Bond, S. E. Satchell, Statistical properties of the sample semi-variance, Applied Mathematical Finance, 9 (2002), 219–239. https://doi.org/10.1080/1350486022000015850 doi: 10.1080/1350486022000015850 |
[49] | H. Masri, A Shariah-compliant portfolio selection model, J. Oper. Res. Soc., 69 (2018), 1568–1575. https://doi.org/10.1057/s41274-017-0223-6 doi: 10.1057/s41274-017-0223-6 |
[50] | G. Cornuejols, R. Tütüncü, Optimization methods in finance, Cambridge University Press, 2006. |
[51] | F. J. Fabozzi, P. N. Kolm, D. A. Pachamanova, S. M. Focardi, Robust portfolio optimization and management, John Wiley & Sons, 2007. |
[52] | D. Roman, K. Darby-Dowman, G. Mitra, Mean-risk models using two risk measures: a multi-objective approach, Quant. Financ., 7 (2007), 443–458. https://doi.org/10.1080/14697680701448456 doi: 10.1080/14697680701448456 |
[53] | I. Usta, Y. M. Kantar, Mean-variance-skewness-entropy measures: a multi-objective approach for portfolio selection, Entropy, 13 (2011), 117–133. https://doi.org/10.3390/e13010117 doi: 10.3390/e13010117 |
[54] | R. D. Arnott, W. H. Wagner, The measurement and control of trading costs, Financ. Anal. J., 46 (1990), 73–80. https://doi.org/10.2469/faj.v46.n6.73 doi: 10.2469/faj.v46.n6.73 |
[55] | G. O. Aragon, W. E. Ferson, Portfolio performance evaluation, Foundations and Trends® in Finance, 2 (2007), 83–190. http://doi.org/10.1561/0500000015 doi: 10.1561/0500000015 |
[56] | A. F. Perold, Large-scale portfolio optimization, Manage. Sci., 30 (1984), 1143–1160. https://doi.org/10.1287/mnsc.30.10.1143 doi: 10.1287/mnsc.30.10.1143 |
[57] | A. R. Norhidayah, K. Hanim, S. Masitah, Linear versus quadratic portfolio optimization model with transaction cost, AIP Conference Proceedings, 1602 (2014), 533. https://doi.org/10.1063/1.4882537 doi: 10.1063/1.4882537 |
[58] | R. C. Green, B. Hollifield, When will mean‐variance efficient portfolios be well diversified?, The Journal of Finance, 47 (1992), 1785–1809. https://doi.org/10.1111/j.1540-6261.1992.tb04683.x doi: 10.1111/j.1540-6261.1992.tb04683.x |
[59] | P. Krokhmal, J. Palmquist, S. Uryasev, Portfolio optimization with conditional value-at-risk objective and constraints, J. Risk, 4 (2002), 43–68. https://doi.org/10.21314/JOR.2002.057 doi: 10.21314/JOR.2002.057 |
[60] | N. J. Jobst, M. D. Horniman, C. A. Lucas, G. Mitra, Computational aspects of alternative portfolio selection models in the presence of discrete asset choice constraints, Quant. Financ., 1 (2001), 489–501. https://doi.org/10.1088/1469-7688/1/5/301 doi: 10.1088/1469-7688/1/5/301 |
[61] | J.L. Evans, S. H. Archer, Diversification and the reduction of dispersion: an empirical analysis, The Journal of Finance, 23 (1968), 761–767. https://doi.org/10.2307/2325905 doi: 10.2307/2325905 |
[62] | M. Statman, How many stocks make a diversified portfolio?, J. Financ. Quant. Anal., 22 (1987), 353–363. https://doi.org/10.2307/2330969 doi: 10.2307/2330969 |
[63] | L. Adamiec, D. Cernauskas, Optimal number of assets for reduction of market risk through diversification, International Journal of Economics, Business and Management Research, 3 (2019), 45–54. |
[64] | H. C. Jimbo, I. S. Ngongo, N. G. Andjiga, T. Suzuki, C. A.Onana, Portfolio optimization under cardinality constraints: a comparative study, Open Journal of Statistics, 7 (2017), 731–742. https://doi.org/10.4236/ojs.2017.74051 doi: 10.4236/ojs.2017.74051 |
[65] | E. Ballestero, Mean‐semivariance efficient frontier: a downside risk model for portfolio selection, Applied Mathematical Finance, 12 (2005), 1–15. https://doi.org/10.1080/1350486042000254015 doi: 10.1080/1350486042000254015 |
[66] | H. B. Salah, J. G. De Gooijer, A. Gannoun, M. Ribatet, Mean–variance and mean–semivariance portfolio selection: a multivariate nonparametric approach, Financ. Mark. Portf. Manag., 32 (2018), 419–436. https://doi.org/10.1007/s11408-018-0317-4 doi: 10.1007/s11408-018-0317-4 |
[67] | D. Pla-Santamaria, M Bravo, Portfolio optimization based on downside risk: a mean-semivariance efficient frontier from Dow Jones blue chips, Ann. Oper. Res., 205 (2013), 189–201. https://doi.org/10.1007/s10479-012-1243-x doi: 10.1007/s10479-012-1243-x |
[68] | W. F. Sharpe, Capital asset prices: a theory of market equilibrium under conditions of risk, The Journal of Finance, 19 (1964), 425–442. https://doi.org/10.1111/j.1540-6261.1964.tb02865.x doi: 10.1111/j.1540-6261.1964.tb02865.x |
[69] | S. T. Rachev, F. J. Fabozzi, S. V. Stoyanov, Advanced stochastic models, risk assessment, and portfolio optimization: the ideal risk, uncertainty, and performance measures, John Wiley & Sons, 2008. |
[70] | E. Lockwood, Predicting the unpredictable: value-at-risk, performativity, and the politics of financial uncertainty, Rev. Int. Polit. Econ., 22 (2015), 719–756. https://doi.org/10.1080/09692290.2014.957233 doi: 10.1080/09692290.2014.957233 |
[71] | R. Campbell, R. Huisman, K. Koedijk, Optimal portfolio selection in a value-at-risk framework, J. Bank. Financ., 25 (2001), 1789–1804. https://doi.org/10.1016/S0378-4266(00)00160-6 doi: 10.1016/S0378-4266(00)00160-6 |
[72] | G. J. Alexander, A. M. Baptista, Economic implications of using a mean-VaR model for portfolio selection: a comparison with mean-variance analysis, J. Econ. Dyn. Control, 26 (2002), 1159–1193. https://doi.org/10.1016/S0165-1889(01)00041-0 doi: 10.1016/S0165-1889(01)00041-0 |
[73] | T. J. Linsmeier, N. D. Pearson, Value at risk, Financ. Anal. J., 56 (2000), 47–67. https://doi.org/10.2469/faj.v56.n2.2343 doi: 10.2469/faj.v56.n2.2343 |
[74] | B. Warwick, The handbook of risk, John Wiley & Sons, 2003. |
[75] | P. Artzner, F. Delbaen, J.-M. Eber, D. Heath, Thinking coherently, Risk, 10 (1997), 68–71. |
[76] | R. Sparkes, Socially responsible investment, Handbook of finance. Volume 2: investment management and financial management, 2008. https://doi.org/10.1002/9780470404324.hof002014 doi: 10.1002/9780470404324.hof002014 |
[77] | W. Ghoul, P. Karam, MRI and SRI mutual funds: a comparison of Christian, Islamic (morally responsible investing), and socially responsible investing (SRI) mutual funds, The Journal of Investing, 16 (2007), 96–102. https://doi.org/10.3905/joi.2007.686416 doi: 10.3905/joi.2007.686416 |
[78] | J. A. Sandwick, P. Collazzo, Modern portfolio theory with sharia: a comparative analysis, J. Asset Manag., 22 (2021), 30–42. https://doi.org/10.1057/s41260-020-00187-w doi: 10.1057/s41260-020-00187-w |
[79] | E. Ballestero, M. Bravo, B. Pérez-Gladish, M. Arenas-Parra, D. Pla-Santamaria, Socially responsible investment: a multicriteria approach to portfolio selection combining ethical and financial objectives, Eur. J. Oper. Res., 216 (2012), 487–494. https://doi.org/10.1016/j.ejor.2011.07.011 doi: 10.1016/j.ejor.2011.07.011 |
[80] | U. Derigs, S. Marzban, New strategies and a new paradigm for Shariah-compliant portfolio optimization, J. Bank. Financ., 33 (2009), 1166–1176. https://doi.org/10.1016/j.jbankfin.2008.12.011 doi: 10.1016/j.jbankfin.2008.12.011 |
[81] | S. Braiek, R. Bedoui, L. Belkacem, Islamic portfolio optimization under systemic risk: Vine Copula‐CoVaR based model, Int. J. Financ. Econ., 27 (2022), 1321–1339. https://doi.org/10.1002/ijfe.2217 doi: 10.1002/ijfe.2217 |
[82] | T. Adrian, M. K. Brunnermeier, CoVaR, NBER Working Paper, 2011, No. 17454. https://doi.org/10.3386/w17454 |
[83] | B. Li, R. Zhang, A new mean-variance-entropy model for uncertain portfolio optimization with liquidity and diversification, Chaos Soliton. Fract., 146 (2021), 110842. https://doi.org/10.1016/j.chaos.2021.110842 doi: 10.1016/j.chaos.2021.110842 |
[84] | L. Min, J. Dong, J. Liu, X. Gong, Robust mean-risk portfolio optimization using machine learning-based trade-off parameter, Appl. Soft Comput., 113 (2021), 107948. https://doi.org/10.1016/j.asoc.2021.107948 doi: 10.1016/j.asoc.2021.107948 |
[85] | X. Li, A. S. Uysal, J. M. Mulvey, Multi-period portfolio optimization using model predictive control with mean-variance and risk parity frameworks, Eur. J. Oper. Res., 299 (2022), 1158–1176. https://doi.org/10.1016/j.ejor.2021.10.002 doi: 10.1016/j.ejor.2021.10.002 |
[86] | X. Wen, H. Cheng, Which is the safe haven for emerging stock markets, gold or the US dollar?, Emerg. Mark. Rev., 35 (2018), 69–90. https://doi.org/10.1016/j.ememar.2017.12.006 doi: 10.1016/j.ememar.2017.12.006 |
[87] | Z. Dai, H. Zhu, X. Zhang, Dynamic spillover effects and portfolio strategies between crude oil, gold and Chinese stock markets related to new energy vehicle, Energ. Econ., 109 (2022), 105959. https://doi.org/10.1016/j.eneco.2022.105959 doi: 10.1016/j.eneco.2022.105959 |
[88] | F. X. Diebold, K. Yilmaz, Better to give than to receive: predictive directional measurement of volatility spillovers, Int. J. Forecasting, 28 (2012), 57–66. https://doi.org/10.1016/j.ijforecast.2011.02.006 doi: 10.1016/j.ijforecast.2011.02.006 |
[89] | F. X. Diebold, K. Yılmaz, On the network topology of variance decompositions: measuring the connectedness of financial firms, J. Econometrics, 182 (2014), 119–134. https://doi.org/10.1016/j.jeconom.2014.04.012 doi: 10.1016/j.jeconom.2014.04.012 |
[90] | Z. Dai, T. Li, M. Yang, Forecasting stock return volatility: the role of shrinkage approaches in a data‐rich environment, J. Forecasting, 41 (2022), 980–996. https://doi.org/10.1002/for.2841 doi: 10.1002/for.2841 |
[91] | Z. Dai, H. Zhu, Dynamic risk spillover among crude oil, economic policy uncertainty and Chinese financial sectors, Int. Rev. Econ. Financ., 83 (2023), 421–450. https://doi.org/10.1016/j.iref.2022.09.005 doi: 10.1016/j.iref.2022.09.005 |