Portfolio optimization using modified Markowitz model based on CO-GARCH modeling compared to the market

Portfolio optimization and deciding which stocks deserve to be included in the investment portfolio and how to allocate capital are complex issues. Theoretically, the selection of the stock portfolio in the case of risk minimization can be solved Using mathematical formulas and through a quadratic e...

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Main Authors: Fahime Jahanian, seyyed Ali Paytakhti Oskooe, Ahmad Mohammadi, Ali Asghar Mottaghi
Format: Article
Language:fas
Published: University of Sistan and Baluchestan 2022-08-01
Series:اقتصاد باثبات
Subjects:
Online Access:https://sedj.usb.ac.ir/article_7184_f677ecc9ab88b53b6ff6a50d8aca4902.pdf
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author Fahime Jahanian
seyyed Ali Paytakhti Oskooe
Ahmad Mohammadi
Ali Asghar Mottaghi
author_facet Fahime Jahanian
seyyed Ali Paytakhti Oskooe
Ahmad Mohammadi
Ali Asghar Mottaghi
author_sort Fahime Jahanian
collection DOAJ
description Portfolio optimization and deciding which stocks deserve to be included in the investment portfolio and how to allocate capital are complex issues. Theoretically, the selection of the stock portfolio in the case of risk minimization can be solved Using mathematical formulas and through a quadratic equation, but in the real world, given that the behavior of the stock market does not follow a linear pattern, common linear methods also cannot be useful in describing this behavior. A natural way to consider time-based constraints of discrete processes is to use GARCH family models. The continuous-time GARCH (CO-GARCH) model is a direct analogue of the discrete-time GARCH that generalizes the basic features of the mentioned process in a natural way. Another advantage of the CO-GARCH model is that its second-order structure is known and defined. Therefore, in this research, portfolio optimization using the modified Markowitz model based on CO-GARCH modeling has been investigated in comparison with the market. The statistical population of the current research includes the information of the companies admitted to the Tehran Stock Exchange for the period of 2010 to 2019 and the statistical sample was selected using the systematic elimination method. First, the optimal investment model based on the Markowitz model based on the CO-GARCH model was presented and then compared with the market. The results of the research indicate that the efficiency of the optimal portfolio formed using the adjusted Markowitz model based on CO-GARCH fluctuations has a significant difference compared to the efficiency of the market.
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spelling doaj.art-a0327f6ca8b24f3eaea5cb3db097f87c2022-12-22T04:23:46ZfasUniversity of Sistan and Baluchestanاقتصاد باثبات2821-10492022-08-0132698210.22111/sedj.2022.43411.12297184Portfolio optimization using modified Markowitz model based on CO-GARCH modeling compared to the marketFahime Jahanian0seyyed Ali Paytakhti Oskooe1Ahmad Mohammadi2Ali Asghar Mottaghi3Department of Economics, Accounting and Management, Tabriz branch, Islamic Azad University, Tabriz. IranAssociate Professor,,Department of Economics, Accounting and Management. Tabriz branch. Islamic Azad University. Tabriz. IranAssistant Professor,,Department of Economics, Accounting and Management. Tabriz branch. Islamic Azad University. Tabriz. IranAssistant Professor,Department of Economics, Accounting and Management. Tabriz branch. Islamic Azad University. Tabriz. IranPortfolio optimization and deciding which stocks deserve to be included in the investment portfolio and how to allocate capital are complex issues. Theoretically, the selection of the stock portfolio in the case of risk minimization can be solved Using mathematical formulas and through a quadratic equation, but in the real world, given that the behavior of the stock market does not follow a linear pattern, common linear methods also cannot be useful in describing this behavior. A natural way to consider time-based constraints of discrete processes is to use GARCH family models. The continuous-time GARCH (CO-GARCH) model is a direct analogue of the discrete-time GARCH that generalizes the basic features of the mentioned process in a natural way. Another advantage of the CO-GARCH model is that its second-order structure is known and defined. Therefore, in this research, portfolio optimization using the modified Markowitz model based on CO-GARCH modeling has been investigated in comparison with the market. The statistical population of the current research includes the information of the companies admitted to the Tehran Stock Exchange for the period of 2010 to 2019 and the statistical sample was selected using the systematic elimination method. First, the optimal investment model based on the Markowitz model based on the CO-GARCH model was presented and then compared with the market. The results of the research indicate that the efficiency of the optimal portfolio formed using the adjusted Markowitz model based on CO-GARCH fluctuations has a significant difference compared to the efficiency of the market.https://sedj.usb.ac.ir/article_7184_f677ecc9ab88b53b6ff6a50d8aca4902.pdfportfolio optimizationmarkowitz modelco-garch modelingmarket
spellingShingle Fahime Jahanian
seyyed Ali Paytakhti Oskooe
Ahmad Mohammadi
Ali Asghar Mottaghi
Portfolio optimization using modified Markowitz model based on CO-GARCH modeling compared to the market
اقتصاد باثبات
portfolio optimization
markowitz model
co-garch modeling
market
title Portfolio optimization using modified Markowitz model based on CO-GARCH modeling compared to the market
title_full Portfolio optimization using modified Markowitz model based on CO-GARCH modeling compared to the market
title_fullStr Portfolio optimization using modified Markowitz model based on CO-GARCH modeling compared to the market
title_full_unstemmed Portfolio optimization using modified Markowitz model based on CO-GARCH modeling compared to the market
title_short Portfolio optimization using modified Markowitz model based on CO-GARCH modeling compared to the market
title_sort portfolio optimization using modified markowitz model based on co garch modeling compared to the market
topic portfolio optimization
markowitz model
co-garch modeling
market
url https://sedj.usb.ac.ir/article_7184_f677ecc9ab88b53b6ff6a50d8aca4902.pdf
work_keys_str_mv AT fahimejahanian portfoliooptimizationusingmodifiedmarkowitzmodelbasedoncogarchmodelingcomparedtothemarket
AT seyyedalipaytakhtioskooe portfoliooptimizationusingmodifiedmarkowitzmodelbasedoncogarchmodelingcomparedtothemarket
AT ahmadmohammadi portfoliooptimizationusingmodifiedmarkowitzmodelbasedoncogarchmodelingcomparedtothemarket
AT aliasgharmottaghi portfoliooptimizationusingmodifiedmarkowitzmodelbasedoncogarchmodelingcomparedtothemarket