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sjamao 2022, 4(1): 10-18 |
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Esmaeili Z, Etemad S M K, Mahmoodabadi H. Investigating the Effect of Stock Market Variables on GDP in Iran Using Autoregressive Distributed Lag (ARDL) Model. sjamao 2022; 4 (1) :10-18
URL: http://sjamao.srpub.org/article-7-152-en.html
URL: http://sjamao.srpub.org/article-7-152-en.html
Department of Accounting, Faculty of Management and Accounting, Zand Institute of Higher Education, Shiraz, Iran
Abstract: (875 Views)
Paying attention to the development of macroeconomic variables, including GDP, has been an important part of the planners’ concerns in different communities, because it is not only affected by the economic and political conditions of the communities, but also by financial and capital markets. This study aimed to investigate the effect of stock market variables on GDP in Iran. In this regard, this has been studied using quarterly statistical data from 2009 to 2020 and an autoregressive distributed lag (ARDL) model. To do this, three variables of total index, industrial index and trade value as the stock market activity and GDP variable have been used. The results showed that the variables of total index and industry index have no effect on GDP in the short run and in the long run, but the value of stock trading affects GDP, and this effect is reversed. The number of vector error correction (VEC) factor was -0.49 that showed the equilibrium in almost two time periods.
Type of Study: Research |
Subject:
Accounting
Received: 2021/12/15 | Revised: 2022/01/13 | Accepted: 2022/01/20 | Published: 2022/01/30
Received: 2021/12/15 | Revised: 2022/01/13 | Accepted: 2022/01/20 | Published: 2022/01/30
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