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Using Return and Risk Model for Choosing Perfect Portfolio Applied Study in Cairo Stock Exchange

DOI: 10.4236/ajor.2024.141002, PP. 32-58

Keywords: Game Theory, Stochastic and Linear Programming, Perfect Portfolio, Portfolio Theory, Returns and Risks

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Abstract:

Modern financial theory, commonly known as portfolio theory, provides an analytical framework for the investment decision to be made under uncertainty. It is a well-established proposition in portfolio theory that whenever there is an imperfect correlation between returns risk is reduced by maintaining only a portion of wealth in any asset, or by selecting a portfolio according to expected returns and correlations between returns. The major improvement of the portfolio approaches over prior received theory is the incorporation of 1) the riskiness of an asset and 2) the addition from investing in any asset. The theme of this paper is to discuss how to propose a new mathematical model like that provided by Markowitz, which helps in choosing a nearly perfect portfolio and an efficient input/output. Besides applying this model to reality, the researcher uses game theory, stochastic and linear programming to provide the model proposed and then uses this model to select a perfect portfolio in the Cairo Stock Exchange. The results are fruitful and the researcher considers this model a new contribution to previous models.

References

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[2]  Picardo. E, (2022) How Game Theory Strategy Improves Decision-Making.
[3]  Markowitz, H.M. (1991) Foundations of Portfolio Theory. The Journal of Finance, 46, 469-477.
https://doi.org/10.1111/j.1540-6261.1991.tb02669.x
[4]  EFSA (2014-2023) Capital Market. Retrieved from Egyptian Financial Supervisory Authority.
https://www.fsa.go.jp/en/glopac/OverviewEGX30.aspx?Nav=1
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https://kpmg.com/eg/en/home/services/invest-in-egypt/listing-on-egyptian-exchange.html
[6]  EGX (2014-2023) Stocks. Retrieved from the Egyptian Exchange Website.

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