Static & Dynamic Models & Stock Market Efficiency Evaluation of T.S.E. Listed Companies’

Objective: The purpose of this paper is to evaluate weak-form market efficiency using static (fixed-coefficient models) & dynamic (time-varying models) models. Studying efficient market hypothesis (EMH) in emerging markets is an important subject among many researchers, due to many reasons mostl...

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Main Authors: Hanieh Hekmat, Ali Rahmani, Mahnaz Mola Nazari, Mir Hossein Mosavi, Hasan Ghalibaf Asl
Format: Article
Language:fas
Published: University of Tehran 2021-02-01
Series:تحقیقات مالی
Subjects:
Online Access:https://jfr.ut.ac.ir/article_80197_faf74d1178e1dd2d1e18cb9b7d21f493.pdf
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spelling doaj-32d38578ecc041ebad889800187a63942021-05-15T06:40:23ZfasUniversity of Tehranتحقیقات مالی1024-81532423-53772021-02-0122447649510.22059/frj.2020.300741.100701180197Static & Dynamic Models & Stock Market Efficiency Evaluation of T.S.E. Listed Companies’Hanieh Hekmat0Ali Rahmani1Mahnaz Mola Nazari2Mir Hossein Mosavi3Hasan Ghalibaf Asl4Assistant Prof., Department of Accounting, Faculty of Social Sciences and Economics, Al-Zahra University, Tehran, Iran., Prof., Department of Accounting, Faculty of Social Sciences and Economics, Al-Zahra University, Tehran, Iran.Associate Prof., Department of Accounting, Faculty of Social Sciences and Economics, Al-Zahra University, Tehran, Iran.Associate Prof., Department of Accounting, Faculty of Social Sciences and Economics, Al-Zahra University, Tehran, Iran.Associate Prof., Department of Accounting, Faculty of Social Sciences and Economics, Al-Zahra University, Tehran, Iran.Objective: The purpose of this paper is to evaluate weak-form market efficiency using static (fixed-coefficient models) & dynamic (time-varying models) models. Studying efficient market hypothesis (EMH) in emerging markets is an important subject among many researchers, due to many reasons mostly market efficiency in these markets is on doubts, it looks that methodological & statistical deficiencies provoked these problems. In previous studies mostly total market efficiency was considered as a whole market, regardless of lots of differences existed in individual companies. However, market efficiency tests should be examined among individual companies in order to compare each stock characteristic. Methods: In this paper, we evaluate weak-form market efficiency; applying static & dynamic ARMA-GARCH models through a sample of 58 T.S.E. listed companies’ daily returns from 2006 to 2018. Results: Testing the significance of auto-regressive coefficients in static models shows that 15 cases have been confirmed & 43 cases have been rejected. To test more scrutinously, dynamic models have been fitted for those 43 rejected cases. The results show that 12 companies were both efficient & zero-convergent & the informational efficiencies of 31 companies were rejected (among which 9 ones were zero-convergent, too). Thus, we couldn't confirm any of the two hypotheses, included weak-form market efficiency & the movement toward weak-form market efficiency. Conclusion: The difference in the dynamic & static models’ results shows the impact of the type of method selected on the results of weak-form market efficiencies’ test. Also, the time-line charts of 21 companies could explain some improvement in the degree of market efficiency & positive change since 2006. Finally, using dynamic models in the robustness test demonstrate that the more a company is liquid, the more is the probability of the weak-form market efficiency to be confirmed.https://jfr.ut.ac.ir/article_80197_faf74d1178e1dd2d1e18cb9b7d21f493.pdfweak-form market efficiencydynamic garch modelskalman filterinformational efficiencyliquidity
collection DOAJ
language fas
format Article
sources DOAJ
author Hanieh Hekmat
Ali Rahmani
Mahnaz Mola Nazari
Mir Hossein Mosavi
Hasan Ghalibaf Asl
spellingShingle Hanieh Hekmat
Ali Rahmani
Mahnaz Mola Nazari
Mir Hossein Mosavi
Hasan Ghalibaf Asl
Static & Dynamic Models & Stock Market Efficiency Evaluation of T.S.E. Listed Companies’
تحقیقات مالی
weak-form market efficiency
dynamic garch models
kalman filter
informational efficiency
liquidity
author_facet Hanieh Hekmat
Ali Rahmani
Mahnaz Mola Nazari
Mir Hossein Mosavi
Hasan Ghalibaf Asl
author_sort Hanieh Hekmat
title Static & Dynamic Models & Stock Market Efficiency Evaluation of T.S.E. Listed Companies’
title_short Static & Dynamic Models & Stock Market Efficiency Evaluation of T.S.E. Listed Companies’
title_full Static & Dynamic Models & Stock Market Efficiency Evaluation of T.S.E. Listed Companies’
title_fullStr Static & Dynamic Models & Stock Market Efficiency Evaluation of T.S.E. Listed Companies’
title_full_unstemmed Static & Dynamic Models & Stock Market Efficiency Evaluation of T.S.E. Listed Companies’
title_sort static & dynamic models & stock market efficiency evaluation of t.s.e. listed companies’
publisher University of Tehran
series تحقیقات مالی
issn 1024-8153
2423-5377
publishDate 2021-02-01
description Objective: The purpose of this paper is to evaluate weak-form market efficiency using static (fixed-coefficient models) & dynamic (time-varying models) models. Studying efficient market hypothesis (EMH) in emerging markets is an important subject among many researchers, due to many reasons mostly market efficiency in these markets is on doubts, it looks that methodological & statistical deficiencies provoked these problems. In previous studies mostly total market efficiency was considered as a whole market, regardless of lots of differences existed in individual companies. However, market efficiency tests should be examined among individual companies in order to compare each stock characteristic. Methods: In this paper, we evaluate weak-form market efficiency; applying static & dynamic ARMA-GARCH models through a sample of 58 T.S.E. listed companies’ daily returns from 2006 to 2018. Results: Testing the significance of auto-regressive coefficients in static models shows that 15 cases have been confirmed & 43 cases have been rejected. To test more scrutinously, dynamic models have been fitted for those 43 rejected cases. The results show that 12 companies were both efficient & zero-convergent & the informational efficiencies of 31 companies were rejected (among which 9 ones were zero-convergent, too). Thus, we couldn't confirm any of the two hypotheses, included weak-form market efficiency & the movement toward weak-form market efficiency. Conclusion: The difference in the dynamic & static models’ results shows the impact of the type of method selected on the results of weak-form market efficiencies’ test. Also, the time-line charts of 21 companies could explain some improvement in the degree of market efficiency & positive change since 2006. Finally, using dynamic models in the robustness test demonstrate that the more a company is liquid, the more is the probability of the weak-form market efficiency to be confirmed.
topic weak-form market efficiency
dynamic garch models
kalman filter
informational efficiency
liquidity
url https://jfr.ut.ac.ir/article_80197_faf74d1178e1dd2d1e18cb9b7d21f493.pdf
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