The Dynamic Model of Valuation for the Bank Stocks (Case Study of Banks of Mellat, Tejarat, Eghtesad-e-Novin, and Karafarin)

Objective: The opacity in many banks’ financial reports has brought some difficulties for the analysts and shareholders who are to grasp them. In this research, using ARDL model, we assess the dynamic model of valuation of the shares of the banks listed in Tehran Stock Exchange. Method: For this pur...

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Main Authors: Ehsan Aghasi, Nader Mehregan, Mehdi Asima
Format: Article
Language:fas
Published: University of Isfahan 2019-03-01
Series:Journal of Asset Management and Financing
Subjects:
Online Access:https://amf.ui.ac.ir/article_23702_3135b7de75a4c43bf833d57efb9644d4.pdf
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author Ehsan Aghasi
Nader Mehregan
Mehdi Asima
author_facet Ehsan Aghasi
Nader Mehregan
Mehdi Asima
author_sort Ehsan Aghasi
collection DOAJ
description Objective: The opacity in many banks’ financial reports has brought some difficulties for the analysts and shareholders who are to grasp them. In this research, using ARDL model, we assess the dynamic model of valuation of the shares of the banks listed in Tehran Stock Exchange. Method: For this purpose and subject to the availability of the data, the seasonal data of the four listed banks in Tehran Stock Exchange- which has been extracted by screening method in the years of 2009-2016- has been analyzed. The other contribution of this paper is to choose a competitor model as an auto-regressive ARIMA model in order to assess the accuracy of the ARDL model, and to investigate the effects of political risk of the country on the stock prices while the effects of the sanctions on the Iranian central bank entered the model in the form of a dummy variable. Results: The results show that both of the models have a high capability of prediction of price-to-book (PB) ratio of stocks but the accuracy of the ARDL model is higher In addition, the sanction on the central bank has no significant effect on PB ratio in the long-run term. Finally, depending on the long-term effects of fundamental variables, the “valuation” variable of bank stocks was defined so that its positivity (negativity) signifies overpriced (underpriced) stock.
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spelling doaj.art-9754b5c479fc467fbadf139be46b173e2022-12-21T18:24:01ZfasUniversity of IsfahanJournal of Asset Management and Financing2383-11892383-11892019-03-017111313410.22108/amf.2018.107983.119823702The Dynamic Model of Valuation for the Bank Stocks (Case Study of Banks of Mellat, Tejarat, Eghtesad-e-Novin, and Karafarin)Ehsan Aghasi0Nader Mehregan1Mehdi Asima2Department of finance, faculty of management and finance, Khatam University, Tehran, Iranprofessor, Department of Economics, Faculty of Economics and Social Sciences, University of BoAliSina, Hamedan, IranPhD Student, Department of Finance, Faculty of Management University of Tehran, Tehran, IranObjective: The opacity in many banks’ financial reports has brought some difficulties for the analysts and shareholders who are to grasp them. In this research, using ARDL model, we assess the dynamic model of valuation of the shares of the banks listed in Tehran Stock Exchange. Method: For this purpose and subject to the availability of the data, the seasonal data of the four listed banks in Tehran Stock Exchange- which has been extracted by screening method in the years of 2009-2016- has been analyzed. The other contribution of this paper is to choose a competitor model as an auto-regressive ARIMA model in order to assess the accuracy of the ARDL model, and to investigate the effects of political risk of the country on the stock prices while the effects of the sanctions on the Iranian central bank entered the model in the form of a dummy variable. Results: The results show that both of the models have a high capability of prediction of price-to-book (PB) ratio of stocks but the accuracy of the ARDL model is higher In addition, the sanction on the central bank has no significant effect on PB ratio in the long-run term. Finally, depending on the long-term effects of fundamental variables, the “valuation” variable of bank stocks was defined so that its positivity (negativity) signifies overpriced (underpriced) stock.https://amf.ui.ac.ir/article_23702_3135b7de75a4c43bf833d57efb9644d4.pdfthe dynamic model of stock valuationardl modelarima modelddm valuation model
spellingShingle Ehsan Aghasi
Nader Mehregan
Mehdi Asima
The Dynamic Model of Valuation for the Bank Stocks (Case Study of Banks of Mellat, Tejarat, Eghtesad-e-Novin, and Karafarin)
Journal of Asset Management and Financing
the dynamic model of stock valuation
ardl model
arima model
ddm valuation model
title The Dynamic Model of Valuation for the Bank Stocks (Case Study of Banks of Mellat, Tejarat, Eghtesad-e-Novin, and Karafarin)
title_full The Dynamic Model of Valuation for the Bank Stocks (Case Study of Banks of Mellat, Tejarat, Eghtesad-e-Novin, and Karafarin)
title_fullStr The Dynamic Model of Valuation for the Bank Stocks (Case Study of Banks of Mellat, Tejarat, Eghtesad-e-Novin, and Karafarin)
title_full_unstemmed The Dynamic Model of Valuation for the Bank Stocks (Case Study of Banks of Mellat, Tejarat, Eghtesad-e-Novin, and Karafarin)
title_short The Dynamic Model of Valuation for the Bank Stocks (Case Study of Banks of Mellat, Tejarat, Eghtesad-e-Novin, and Karafarin)
title_sort dynamic model of valuation for the bank stocks case study of banks of mellat tejarat eghtesad e novin and karafarin
topic the dynamic model of stock valuation
ardl model
arima model
ddm valuation model
url https://amf.ui.ac.ir/article_23702_3135b7de75a4c43bf833d57efb9644d4.pdf
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