Roudari, Soheil and Tehranchian, Amirmansour and Zarei, Pegah and kakaei, hamid (2020): ارزيابي اثر تکانه درآمد نفت بر شاخص سهام در ايران: کاربردي از الگوي مارکوف سويچينگ خودرگرسيون برداري. Published in: Quarterly Energy Economics Review , Vol. 17, No. 69 (1 September 2021): pp. 23-55.
Preview |
PDF
MPRA_paper_127014.pdf Download (1MB) | Preview |
Abstract
In the present study, the effect of oil revenue shock on the stock market index in the period 1384:1 – 1397:2 has been investigated seasonally using the Markov switching vector autoregression model. The results show that when the stock index is in the low regime, the positive shock of inflation, exchange rate and government debt to the banking network leads to an increase in the stock index and a positive shock to the interest rate leads to a decrease in the stock market index in all periods. Also, the positive shock of economic growth has led to increase in the stock index in most periods. But if the stock index be in the high regime, the positive shock of oil revenues, interest rate and economic growth has led to decrease in the stock market index in all periods, and the government budget deficit, liquidity, inflation, exchange rate and government debt to the banking network in all periods has been positive effect on stock market index. According to the research results, if the goal is normal growth in the stock market, monetary and fiscal policies as well as instruments under the control of the central bank (liquidity, exchange rate and interest rate) should be adopted according to the level and regime of the stock market. So that the stock market in the country does not deviate from its path and trend. Otherwise, the stock market can face with uncertainty, and this uncertainty provides the ground for liquidity to leave this market and transfer to other parallel markets and create harmful economic effects.
| Item Type: | MPRA Paper |
|---|---|
| Original Title: | ارزيابي اثر تکانه درآمد نفت بر شاخص سهام در ايران: کاربردي از الگوي مارکوف سويچينگ خودرگرسيون برداري |
| English Title: | Evaluating the effect of oil revenue shock on stock market index in Iran: Application of Markov switching vector autoregressive |
| Language: | Persian |
| Keywords: | Stock Market Index, Oil Revenues, Budget Deficit, Exchange rate, MS-VAR Model. |
| Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C24 - Truncated and Censored Models ; Switching Regression Models ; Threshold Regression Models E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E44 - Financial Markets and the Macroeconomy E - Macroeconomics and Monetary Economics > E6 - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook > E61 - Policy Objectives ; Policy Designs and Consistency ; Policy Coordination G - Financial Economics > G3 - Corporate Finance and Governance > G38 - Government Policy and Regulation |
| Item ID: | 127014 |
| Depositing User: | Dr Soheil Roudari |
| Date Deposited: | 26 Nov 2025 17:01 |
| Last Modified: | 26 Nov 2025 17:01 |
| References: | Apergis, N., & Miller, S. M. (2009). Do structural oil-market shocks affect stock prices? Energy economics, 31(4), 569-575. Balcilar, M., Van Eyden, R., Uwilingiye, J., & Gupta, R. (2017). The impact of oil price on South African GDP growth: A Bayesian Markov switching‐var analysis. African Development Review, 29(2), 319-336. Bastianin, A., & Manera, M. (2015). How does stock market volatility react to oil shocks?. Bastianin, A., Conti, F., & Manera, M. (2016). The impacts of oil price shocks on stock market volatility: Evidence from the G7 countries. Energy Policy, 98, 160-169. Bhatia, V., & Basu, S. (2020). Causality-in-quantiles between crude oil and stock markets: Evidence from emerging economies. Finance Research Letters, 101736. Boldanov, R., Degiannakis, S., & Filis, G. (2016). Time-varying correlation between oil and stock market volatilities: Evidence from oil-importing and oil-exporting countries. International Review of Financial Analysis, 48, 209-220. Bouoiyour, J., Selmi, R., Shahzad, S. J. H., & Shahbaz, M. (2017). Response of stock returns to oil price shocks: Evidence from oil importing and exporting countries. Journal of Economic Integration, 913-936. Cevik, N. K., Cevik, E. I., & Dibooglu, S. (2020). Oil Prices, Stock Market Returns and Volatility Spillovers: Evidence from Turkey. Journal of Policy Modeling. Chen, J., Zhu, X., & Zhong, M. (2019). Nonlinear effects of financial factors on fluctuations in nonferrous metals prices: A Markov-switching VAR analysis. Resources Policy, 61, 489-500. Degiannakis, S., Filis, G., & Arora, V. (2018). Oil prices and stock markets: A review of the theory and empirical evidence. The Energy Journal, 39(5). Dornbusch, R., & Fischer, S. (1980). Exchange rates and the current account. The American Economic Review, 70(5), 960-971. Frankel, J. A. (1983). Monetary and portfolio-balance models of exchange rate determination, in economic interdependence and flexible exchange rates. JS Bhandari and BH Putnam (eds.), MIT Press, Cambridge MA. Jammazi, R., Ferrer, R., Jareño, F., & Shahzad, S. J. H. (2017). Time-varying causality between crude oil and stock markets: What can we learn from a multiscale perspective? International Review of Economics & Finance, 49, 453-483. Kang, W., Ratti, R. A., & Yoon, K. H. (2015). The impact of oil price shocks on the stock market return and volatility relationship. Journal of International Financial Markets, Institutions and Money, 34, 41-54. Kelikume, I., & Muritala, O. (2019). The impact of changes in oil price on stock market: Evidence from Africa. International Journal of Management, Economics and Social Sciences (IJMESS), 8(3), 169-194. Khan, M. I., Teng, J. Z., Khan, M. K., Jadoon, A. U., & Khan, M. F. (2020). The impact of oil prices on stock market development in Pakistan: Evidence with a novel dynamic simulated ARDL approach. Resources Policy, 101899. Kilian, L., & Park, C. (2009). The impact of oil price shocks on the US stock market. International Economic Review, 50(4), 1267-1287. Koop, G., Pesaran, M. H., & Potter, S. M. (1996). Impulse response analysis in nonlinear multivariate models. Journal of econometrics, 74(1), 119-147. Krolzig, H. M. (1998). Econometric modelling of Markov-switching vector autoregressions using MSVAR for Ox. Lange, R. H. (2016). The Monetary Transmission Mechanism and Inflation Targeting: A Regime-Switching VAR Approach for Canada. Applied Economics and Finance, 3(2), 263-279. Le, C., & David, D. (2014). Asset price volatility and financial contagion: analysis using the MS-VAR framework. Eurasian Economic Review, 4(2), 133-162. Mokni, K. (2020). Time-varying effect of oil price shocks on the stock market returns: Evidence from oil-importing and oil-exporting countries. Energy Reports, 6, 605-619. Nandha, M., & Faff, R. (2008). Does oil move equity prices? A global view. Energy economics, 30(3), 986-997. Ozdemir, S., & Akgul, I. (2015). Inflationary effects of oil prices and domestic gasoline prices: Markov-switching-VAR analysis. Petroleum Science, 12(2), 355-365. Pavlova, A., & Rigobon, R. (2007). Asset prices and exchange rates. The Review of Financial Studies, 20(4), 1139-1180. Ready, R. C. (2018). Oil prices and the stock market. Review of Finance, 22(1), 155-176. Shiller, R. J. (1988). Causes of changing financial market volatility. Proceedings, Federal Reserve Bank of Kansas City, 1-32. Wong, H. T. (2017). Real exchange rate returns and real stock price returns. International Review of Economics & Finance, 49, 340-352. Youssef, M., & Mokni, K. (2019). Do Crude Oil Prices Drive the Relationship between Stock Markets of Oil-Importing and Oil-Exporting Countries?, Economies, 7(3), 70. |
| URI: | https://mpra.ub.uni-muenchen.de/id/eprint/127014 |

