Volume 26, Issue 3 (Autunm 2021)                   JPBUD 2021, 26(3): 131-154 | Back to browse issues page


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Hadipour H, Paytakhti Oskooe A, Rahmani K. (2021). Factors Affecting the Instability Index in Tehran Stock Exchange. JPBUD. 26(3), 131-154. doi:10.52547/jpbud.26.3.131
URL: http://jpbud.ir/article-1-2029-en.html
1- Department of Financial Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran
2- Department of Economics, Tabriz Branch, Islamic Azad University, Tabriz, Iran , Oskooe@iaut.ac.ir
3- Department of Management, Tabriz Branch, Islamic Azad University, Tabriz, Iran.
Abstract:   (2677 Views)
The food and beverage industry has always been one of the most popular industries for investors and market participants in Iran. In the present paper, using conditional turbulence method, the model for factors affecting the instability index in the food and beverage industry in Tehran Stock Exchange has been studied and presented. For this purpose, the monthly data from March 2009 to March 2020 have been used. Also based on regression results, turbulence can be caused by factors such as political conflicts and international problems in Iran, and strengthened or weakened by the effects of parallel markets such as oil, gold and currency, as well as inflation and liquidity. Based on regression results, factors outside the stock market in Iran, have a greater impact on turmoil and instability in the stocks of the food and beverage industry (excluding sugar) compared to in-company factors. Therefore, from the point of view of the performed analyses, the most important effect and factor causing volatility of the stock exchange are inflation, exchange rate, liquidity volume, oil price, gold price, and political news. Accordingly, this study provides research and executive proposals with regard to capital market volatility management.
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Type of Study: Research | Subject: financial economics
Received: Jul 08 2021 | Accepted: Dec 05 2021 | ePublished: Mar 06 2022

References
1. Abdorrahimian, M. H., Torabi, T., Sadeghisharif, S. J., & Darabi, R. (2018). Behavioral Decision Making Pattern for Individual Investors in Tehran Stock Exchange. Journal of Investment Knowledge, 7(26), 113-130. [Link:http://jik.srbiau.ac.ir/article_12604.html]
2. Aboura, S., & Chevallier, J. (2015). Volatility Returns with Vengeance: Financial Markets vs. Commodities. Research in International Business and Finance, 33(1), 334-354. [DOI:10.1016/j.ribaf.2014.04.003]
3. Abzari, M., & Derakhshideh, H. (2013). The Effect of Transparency of Financial Information on Investors' Behavior in Isfahan Stock Exchange. The Journal of Planning and Budgeting, 18(1), 59-75. [Link:http://jpbud.ir/article-1-846-fa.html]
4. Akomolafe, K. J., Danladi, J. D., Babalola, O., & Abah, A. G. (2015). Monetary Policy and Commercial Banks' Performance in Nigeria. Public Policy and Administration Research, 5(9), 158-166.
5. Asgharian, H., Christiansen, C., & Hou, A. J. (2015). Effects of Macroeconomic Uncertainty on the Stock and Bond Markets. Finance Research Letters, 13(1), 10-16. [DOI:10.1016/j.frl.2015.03.008]
6. Ayusuk, A., & Sriboonchitta, S. (2016). Copula Based Volatility Models and Extreme Value Theory for Portfolio Simulation with an Application to Asian Stock Markets. In Causal Inference in Econometrics (pp. 279-293): Springer. [DOI:10.1007/978-3-319-27284-9_17]
7. Dabirinia, A., Pourkarim, M., & Abbaszadeh, S. (2020). The Effect of Information Risk on the Financial Performance of the Company with Emphasis on the Role of External Monitoring. Journal of Accounting and Management Vision, 3(33), 1-17. [Link:http://www.jamv.ir/article_121906.html]
8. Ehouman, Y. A. (2020). Volatility Transmission between Oil Prices and Banks' Stock Prices as a New Source of Instability: Lessons from the United States Experience. Economic Modelling, 91(1), 198-217. [DOI:10.1016/j.econmod.2020.06.009]
9. ElBannan, M. A. (2017). Stock Market Liquidity, Family Ownership, and Capital Structure Choices in an Emerging Country. Emerging Markets Review, 33(1), 201-231. [DOI:10.1016/j.ememar.2017.11.001]
10. Eskandari, M., Saeedi, A., & Fallah, M. (2019). The Effect of Gold on Portfolio Diversification: The Case of Indexed Portfolios from Tehran Stock Exchange. Journal of Financial Management Perspective, 9(27), 81-107. [Link:http://jfmp.sbu.ac.ir/article_95817.html]
11. Fasanya, I. O., & Akinde, M. A. (2019). Volatility Transmission in the Nigerian Financial Market. The Journal of Finance and Data Science, 5(2), 99-115. [DOI:10.1016/j.jfds.2019.01.003]
12. Fotros, M. H., & Hoshidari, M. (2018). Dynamic Relationships between Oil Prices, Gold Prices and Exchange Rates with Indicators of Tehran Stock Exchange. Quarterly Energy Economics Review, 14(58), 89-116. [Link:http://iiesj.ir/article-1-1099-fa.html]
13. Humpe, A., & Macmillan, P. (2009). Can Macroeconomic Variables Explain Long-Term Stock Market Movements? A Comparison of the US and Japan. Applied Financial Economics, 19(2), 111-119. [DOI:10.1080/09603100701748956]
14. Jahangiri, K., & Hekmati Farid, S. (2015). Investigating the Effects of Volatility Spillover between Stock, Gold, Oil and Exchange Markets. Economics Research, 15(56), 161-194. [Link:http://joer.atu.ac.ir/article_1269.html]
15. Khajeh-Saeed, Z., Farzinvash, A., Elahi, N., & Asgharpour, H. (2019). The Share of Monetary Policy Transmission Channels in the Tehran Stock Exchange Price Index. The Journal of Planning and Budgeting, 23(4), 87-112. [Link: http://jpbud.ir/article-1-1708-fa.html]
16. Khanmohammadi, M. H., Asadi, A., & Mohseni Dehkalani, N. (2018). Dynamics of the Shock of Markets in Parallel with the Stock Market on Stock Return (An Approach of the Models of Time Parameter Change). Financial Management Perspective, 8(23), 61-85. [Link:http://jfmp.sbu.ac.ir/article_95529.html]
17. Komeyjani, A., & Ebrahimi, S. (2013). Effect of Exchange Rate Volatility on Productivity Growth in Developing Countries While Considering Their Financial Development Levels. Journal of Applied Economics Studies in Iran, 2(6), 1-27. [Link:https://aes.basu.ac.ir/article_459.html]
18. Nikoomaram, H., Pourzamani, Z., & Dehghan, A. (2013). Spillover Effect on the On Contest Markets for Capital Market. Journal of Investment Knowledge, 3(11), 179-200. [Link:http://jik.srbiau.ac.ir/article_7644.html]
19. Pashaeefam, R., & Omidipour, R. (2009). The Effect of Inflation Rate on Real Stock Return in Iran Economy. Journal of Economic Research and Policies, 17(50), 93-113. [Link:http://qjerp.ir/article-1-258-fa.html]
20. Piraei, K., & Shahsavar, M. R. (2009). The Impacts of Macroeconomic Variables on the Iranian Stock Market. The Economic Research, 9(1), 21-38. [Link:http://ecor.modares.ac.ir/article-18-2863-fa.html]
21. Razmi, H., & Porfahad, M. (2019). Relationship between Cash Flow Risk and Capital Structure Decisions. Journal of Accounting and Management Vision, 2(15), 119-135. [Link:http://www.jamv.ir/article_97142.html]
22. Rezazadeh, A. (2016). The Impact of Macroeconomic Variables on Tehran Stock Market Returns Volatility: GARCH-X Approach. Quarterly Journal of Applied Theories of Economics, 3(2), 121-136. [Link:https://ecoj.tabrizu.ac.ir/article_5000.html]
23. Shahbazi, K., Rezaei, E., & Salehi, Y. (2013). The Impact of Oil Price Shocks on the Stock Returns of Tehran Stock Exchange (TSE). Financial Knowledge of Securities Analysis, 6(2), 125-136. [Link: http://jfksa.srbiau.ac.ir/article_2629.html]
24. Shamsoddini, M., Tash, S., & Khodadad Kashi, F. (2017). Measuring Asymmetric Information in Food Products and Beverages Industry's Active Firms in Tehran Stock Exchange. Journal of Agricultural Economics and Development, 31(1), 60-72. [Link:https://dx.doi.org/10.22067/jead2.v31i1.55540]
25. Subayyal, M., & Shah, A. (2011). The Cointegration between Exchange Rates and Stock Prices in Highly Volatile Markets: Evidence from Pakistan. Middle Eastern Finance and Economics, 15(1), 156-163.
26. Touil, M., & Mamoghli, C. (2020). Institutional Environment and Determinants of Adjustment Speed to the Target Capital Structure in the MENA Region. Borsa Istanbul Review, 20(2), 121-143. [DOI:10.1016/j.bir.2019.12.003]
27. Wong, W.-K., Khan, H., & Du, J. (2005). Money, Interest Rate, and Stock Prices: New Evidence from Singapore and the United States. National University of Singapore Department of Economics. Working Paper No. 0601. [DOI:10.2139/ssrn.1607605]
28. Zhou, X., Zhang, J., & Zhang, Z. (2021). How Does News Flow Affect Cross-Market Volatility Spillovers? Evidence from China's Stock Index Futures and Spot Markets. International Review of Economics & Finance, 73(1), 196-213. [DOI:10.1016/j.iref.2021.01.003]

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