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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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 |
work_keys_str_mv |
AT haniehhekmat staticdynamicmodelsstockmarketefficiencyevaluationoftselistedcompanies AT alirahmani staticdynamicmodelsstockmarketefficiencyevaluationoftselistedcompanies AT mahnazmolanazari staticdynamicmodelsstockmarketefficiencyevaluationoftselistedcompanies AT mirhosseinmosavi staticdynamicmodelsstockmarketefficiencyevaluationoftselistedcompanies AT hasanghalibafasl staticdynamicmodelsstockmarketefficiencyevaluationoftselistedcompanies |
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1721440690429231104 |