The Performance Analysis of Dynamic Investment Portfolio Insurance Strategies Based on Value at Risk
DOI:
https://doi.org/10.33095/fnqfjv14Keywords:
Efficient Portfolio, Portfolio Insurance Strategies, VBPI, VaR, G110, G120, G170.Abstract
The research aims to address the fundamental problem by reducing the systematic risks to which investments in the stock market are exposed and to benefit from the emerging potential provided by investment portfolio insurance strategies, through Value at Risk Based Portfolio Insurance (VBPI), using the comparative analytical approach. The research community was represented by the (ISX60) index, The data was collected through the annual reports of the Iraq Stock Exchange to form three intentional yearly conditional samples for the period (2022-2024), and several financial models were relied upon, such as Simple Ranking, Single Index, Sharpe, and Treynor Models. Several results were reached, as the efficient dynamic investment portfolio before insurance according to the Sharpe model outperformed the VBPI. At the same time, the VBPI succeeded in achieving a performance level according to the Treynor model on the uninsured portfolio. The originality of the research lies in building three efficient dynamic investment portfolios and insuring them according to the Value at Risk Model as a new strategy in insuring investment portfolios.
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Abdel Latif, W. I., & Mohammed, B. H. (2020). Influence of Determinants of Investor Behavior in Making Investment Decision “Research Applied in the Market Iraq Stock Exchange". Journal of Economics and Administrative Sciences, 26(121), 133-155. https://doi.org/10.33095/jeas.v26i121.1944
Agustinus, M. (2021). Comparative Analysis of the Performance between Sharia and Conventional Equity Mutual Funds Using Sharpe and Treynor Method. In International Journal of Innovative Science and Research Technology (Vol. 6, Issue 11). www.ijisrt.com204
Fakher Abd AL- Hassan, R., & Sakr Maktouf, H. (2022). Evaluation of the Strategic Performance of the State Board of Antiquities and Heritage/Case Study. Journal of Economics and Administrative Sciences, 28(134), 81-95. https://doi.org/10.33095/jeas.v28i134.2422
Alipour, P., & Bastani, A. F. (2023). Value-at-Risk-Based Portfolio Insurance: Performance Evaluation and Benchmarking Against CPPI in a Markov-Modulated Regime-Switching Market. http://arxiv.org/abs/2305.12539
Kadim Alkhalidi, F. F., & Mohammed Aljubori, A. T. (2021). The variation of the Firm’s value considering the relationship between the financial structure and earnings per share. Journal of Economics and Administrative Sciences, 27(125), 212-232. https://doi.org/10.33095/jeas.v27i125.2073
Atmaca, M. E. (2022). Portfolio management and performance improvement with Sharpe and Treynor ratios in electricity markets. Energy Reports, 8, 192–201. https://doi.org/10.1016/j.egyr.2021.11.287
Baesens, B., & van Gestel, T. (2009). Credit Risk Management Basic Concepts: financial risk components, rating analysis, models, economic and regulatory capital.
Bouyé, E. (n.d.). Portfolio Insurance: A Short Introduction. Available at SSRN: https://ssrn.com/abstract=1416790 or http://dx.doi.org/10.2139/ssrn.1416790
Chacko, G., & Viceira, L. M. (1999). Dynamic Consumption and Portfolio Choice with Stochastic Volatility in Incomplete Markets. https://doi.org/https://doi.org/10.1093/rfs/hhi035
Chen, Z. (2024). Index Model with Modern Portfolio Theory and its Application to Find Optimal Portfolio in the American Stock Market. In Business, Economics and Management EMFRM (Vol. 2023).
Chen, Z. W., Chai, J., & Ge, J. Y. (2014). The efficacy of CPPI and VBPI based on stationary bootstrap method. Applied Mechanics and Materials, 687–691, 4848–4852. https://doi.org/10.4028/www.scientific.net/AMM.687-691.4848
khalid Chyad, A., & Aljubori, A. T. (2021). ARIMA model to forecast the ISX60 indicator: an applied study an Iraqi financial market. Turkish Journal of Computer and Mathematics Education Vol, 12(7), 2549-2554.
Corelli, A. (2018). Springer Texts in Business and Economics Analytical Corporate Finance Second Edition. https://doi.org/https://doi.org/10.1007/978-3-319-95762-3
Engle, Robert F.; Manganelli, Simone (2001). Value at risk models in finance, ECB Working Paper, No. 75, European Central Bank (ECB), Frankfurt a. M.https://hdl.handle.net/10419/152509
Gourieroux, C., Laurent, J. P., & Scaillet, O. (2000). Sensitivity analysis of Values at Risk. In Journal of Empirical Finance (Vol. 7).
Gül, Ö. (2010). Comparison of Value-at-Risk using various empirical methods for the portfolios of BRICT and G-7 countries in the long run.
Hasanov, A. (2021). The impact of policy uncertainty on the performance of mutual funds: empirical evidence from the US. [Università Ca’Foscari Venezia].
https://unitesi.unive.it/bitstream/20.500.14247/10131/1/877494-1248455.pdf
Ho, L. chih, Cadle, J., & Theobald, M. (2011). An analysis of risk-based asset allocation and portfolio insurance strategies. Review of Quantitative Finance and Accounting, 36(2), 247–267. https://doi.org/10.1007/s11156-010-0175-2
Huang, X. (2014). Analyzing value at risk and expected shortfall methods: the use of parametric, non-parametric, and semi-parametric models.
Isma’eel, & Ganawy. (2019). Building the optimal portfolio for stock using multi-objective genetic algorithm - comparative analytical research in the Iraqi stock market. Journal of Economics and Administrative Sciences, 25(113), 45-78. https://doi.org/10.33095/jeas.v25i113.1688
Jiang, C., Ma, Y., & An, Y. (2009). The effectiveness of the VaR-based portfolio insurance strategy: An empirical analysis. International Review of Financial Analysis, 18(4), 185–197. https://doi.org/10.1016/j.irfa.2009.04.001
Jonasardottir, R., & Lavstrand, A. (2011). Performance and Sensitivity Analysis of the VaR-Based Portfolio Insurance Strategy. rapport nr.: Master Degree Project 2011: 159.
Kaluge, D., Danarti, T., & Wahyu, P. (2023, September). Comparative Analysis of Stock Systematic Risk Based on Business Sector. In Brawijaya International Conference on Business, Administration, Taxation, and Tourism (BICBATT 2022) (pp. 106-115). Atlantis Press. https://doi.org/10.2991/978-94-6463-240-8_13
Juszczuk, P., Kaliszewski, I., Miroforidis, J., & Podkopaev, D. (2020). A condition for asset redundancy in the mean-variance model of portfolio investment. Control and Cybernetics, 49.
Leković, M. (2017). Mutual funds portfolio performance evaluation models: Sharpe, Treynor and Jensen index. 46, br. 4 .https://doi.org/10.5937/bankarstvo1704108l
Liao, C.-H. (2003). Essays on Dynamic Portfolio Management.
Lorenzo, L., & Arroyo, J. (2023). Online risk-based portfolio allocation on subsets of crypto assets applying a prototype-based clustering algorithm. Financial Innovation, 9(1). https://doi.org/10.1186/s40854-022-00438-2
Maheswari& Dineshkumar,2019. (n.d.).
Manurung, A. H., HibatullahI, F. F., & Sijabat, J. (2023). Stock Selection Using Roy Criteria to Construct a Portfolio and the Effects of Variables on Portfolio Return. Journal of Finance and Investment Analysis, 27–42. https://doi.org/10.47260/jfia/1232
Mary, J. F. (2015). The single index model and the construction of optimal portfolio with Cnxpharma script. In International Journal of Management (Vol. 6, Issue 1). www.jifactor.com
Mistry, J., & Khatwani, R. A. (2023). Examining the superiority of the Sharpe single-index model of portfolio selection: A study of the Indian mid-cap sector. Humanities and Social Sciences Communications, 10(1). https://doi.org/10.1057/s41599-023-01686-y
Najamuddin, Y., Meidawati, N., Putri, N. S., Nustini, Y., & Kholid, M. N. (2022). Optimal portfolio analysis of manufacturing entities in the Indonesia Sharia Stock Index. International Journal of Research in Business and Social Science (2147- 4478), 10(8), 188–199. https://doi.org/10.20525/ijrbs.v10i8.1506
Nandan, T., & Srivastava, N. (2017). Construction of Optimal Portfolio Using Sharpe’s Single Index Model: An Empirical Study on Nifty 50 Stocks. Journal of Management Research and Analysis, 4(2), 74–83. https://doi.org/10.18231/2394-2770.2017.0010
Ningrum, M. L., & Risman, A. (2022). Performance Analysis of Protected Fund and Equity Fund Using Sharpe, Treynor, Jensen. Indikator: Jurnal Ilmiah Manajemen Dan Bisnis, 6(1), 52. https://doi.org/10.22441/indikator.v6i1.15228
Nystrup, P., Madsen, H., & Lindström, E. (2018). Dynamic portfolio optimization across hidden market regimes. Quantitative Finance, 18(1), 83–95.
https://doi.org/10.1080/14697688.2017.1342857
Oseremen Egbele, M., Arne Rygg Supervisor, L., & Thorburm, K. (2021). The stock market reaction to private placement announcements.
Reddy, K., Lakshmi. S N, M., Thilaga, S., & Mahabub Basha, M. (2023). Construction of an optimal portfolio using the single index model: an empirical study of pre and post COVID 19. Journal of Pharmaceutical Negative Results, 14.
https://doi.org/10.47750/pnr.2023.14.03.51
Rout, B., & Panda, J. K. (2020). Construction of Optimal Portfolio on Selected Stocks of BSE Using Sharpe’s Single Index Model Biswajit Rout.
Sandu, D.-M. (2023). Is There Any Effect of ESG Scores on Portfolio Performance in South Africa? Proceedings of the International Conference on Business Excellence, 17(1), 1807–1817. https://doi.org/10.2478/picbe-2023-0160
Sharpe, W. F. (1964). capital asset prices: a theory of market equilibrium under conditions of risk. The Journal of Finance, 19(3), 425–442.
https://doi.org/10.1111/j.1540-6261.1964.tb02865.x
Theiler, U. (2011). Risk-minimising investment strategies—Embedding portfolio optimisation into a dynamic insurance framework. Journal of Risk Management in Financial Institutions, 4(4), 334-369.
Trieu, T. D. (2017). Portfolio Insurance Strategies: An empirical analysis of a frontier market-the Vietnamese case.
Xu, M., Sherris, M., & Shao, A. W. (2019). ARC Centre of Excellence in Population Ageing Portfolio Insurance Strategies for a Target Annuitization Fund Portfolio Insurance Strategies for a Target Annuitization Fund. www.cepar.edu.au
Ye, Y., Pei, H., Wang, B., Chen, P.-Y., Zhu, Y., Xiao, J., & Li, B. (2020). Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States. https://doi.org/https://doi.org/10.1609/aaai.v34i01.5462
Yuan, L. (2021). Dynamic Portfolio Optimization (Doctoral dissertation, University of Minnesota).
Yuliana, R., Siwiyanti, L., Purnomo, B. S., & Purnamasari, I. (2024). Determinants Of Investment Portfolio Performance: A Systematics Literature Review Article Info ABSTRACT. The Eastasouth Management and Business, 02(02), 149–155. https://doi.org/10.58812/esmb.v2i02
Zagst, R., & Kraus, J. (2011). Stochastic Dominance of Portfolio Insurance Strategies OBPI versus CPPI.
Zhang, T., Zhou, H., Li, L., & Gu, F. (2015). Optimal rebalance rules for the constant proportion portfolio insurance strategy - Evidence from China. Economic Systems, 39(3), 413–422. https://doi.org/10.1016/j.ecosys.2015.02.001
Zieling, D., Mahayni, A., & Balder, S. (2014). Performance evaluation of optimized portfolio insurance strategies. Journal of Banking and Finance, 43(1), 212–225.
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