Evaluating the Performance and Ability Explain of Market Index Returns by Selected Stock Portfolios Based on Throughput Accounting Criteria in Comparison with the New Network Matrix Model

Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
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JR_AMFA-8-3_011

تاریخ نمایه سازی: 19 تیر 1402

Abstract:

One of the strategies used in active portfolio management is the "network matrix model "which can be used to form different portfolios with different characteristics of stocks or companies. In this study, with the data of ۱۵۶ companies listed on the Tehran Stock Exchange during the period ۲۰۱۱ to ۲۰۱۸ using the network matrix model and based on throughput accounting criteria, portfolio formation and their performance with the portfolios of the new network matrix model (Defensive, neutral and aggressive stocks) and market portfolio were compared. The results show that the proposed network matrix model portfolios based on throughput accounting criteria have higher performance than the new network matrix model in terms of Sharpe, Sortino, upside potential, and omega criteria. Also, portfolios consisting of stocks of companies with high system performance, in addition to the above criteria, have higher performance in terms of Jensen's Alpha criteria than the new network matrix model, and in terms of upside potential and omega criteria, have higher performance than the market portfolio. The performance of portfolios consisting of stocks of companies with low system performance has a stronger correlation with the market portfolio compared to the new network matrix model.

Authors

Mohammad Aslani

Ph.D. Student of Accounting Department, Borujerd Branch, Islamic Azad University, Borujerd, Iran

Mohammad Reza Setayesh

Assistant Professor, Department of Accounting, Borujerd Branch, Islamic Azad University, Borujerd, Iran

Mohammad Hasan Janani

Assistant Professor, Department of Accounting, Borujerd Branch, Islamic Azad University, Borujerd, Iran

mahmoud hematfar

Associate Professor, Department of Accounting, Borujerd Branch, Islamic Azad University, Borujerd, Iran

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