Investigating the Dynamic Spillover among Exchange Rate, Stock Market Index, Housing Price and Inflation in Iran: Does the Severity of Sanctions Matter?

Roudari, Soheil (2024): Investigating the Dynamic Spillover among Exchange Rate, Stock Market Index, Housing Price and Inflation in Iran: Does the Severity of Sanctions Matter?

Abstract

Examining the spillover effects between exchange rates, stock market index, housing prices and inflation is one of the key issues in macroeconomics. This topic is particularly important in relation to Iran, which has been affected by various international sanctions for many years and has restricted the role of oil exports in the economy. Because the application of international sanctions can have a significant effect on the relationship between indicators as well as their impact and effectiveness on the investigated network, we study the effects of the dynamic spillover between the above four indices by using a TVP-VAR model that is based on Diebold and Yilmaz (2012). We have also focused on three time periods: the whole period (March 2006-January 2022), the first period of sanctions (June 2010-July 2015) and the second period of sanctions (May 2018-January 2022). The results show that in all three periods, inflation rate is the most influential indicator in the network. But these results are different in relation to the percentage of influence of these four indicators on the entire network. In the entire period and in the first period of sanctions, exchange rate volatilities have been the main channel of transmitting shocks to the network. However, in the second period of sanctions the main transmitter is inflation. According to the results, the increase in the exchange rate (devaluation of riyal) has been the most important key factor in creating destructive fluctuations in Iran’s economy, which ripples through the entire economy, affecting the stock market index, inflation rate, and housing prices.

• Item Type: MPRA Paper
• Language: English
• Keywords: Stock Market, Inflation, Housing, Exchange Rate, Sanction, TVP-VAR Model
• Subjects: E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E31 - Price Level ; Inflation ; Deflation; F - International Economics > F5 - International Relations, National Security, and International Political Economy; G - Financial Economics > G0 - General > G01 - Financial Crises

References

Adams, G., McQueen, G., & Wood, R. (2004). The effects of inflation news on high frequency stock returns. The Journal of Business, 77(3), 547-574.

Antonakakis, N., Gupta, R., & Tiwari, A. K. (2017). Has the correlation of inflation and stock prices changed in the United States over the last two centuries? Research in International Business and Finance, 42, 1-8.

Attanasio, O. P., Blow, L., Hamilton, R., & Leicester, A. (2009). Booms and busts: Consumption, house prices and expectations. Economica, 76(301), 20-50.

Bodie, Z. (1976). Common stocks as a hedge against inflation. The journal of finance, 31(2), 459-470.

Bouri, E., Cepni, O., Gabauer, D., & Gupta, R. (2021). Return connectedness across asset classes around the COVID-19 outbreak. International review of financial analysis, 73, 101646.

Branson, W.H. (1983), “Macroeconomic Determinants of Real Exchange Risk. In: Herring, R.J. (Ed.)”, Managing Foreign Exchange Risk, Cambridge University, Cambridge.

Delgado, N. A. B., Delgado, E. B., & Saucedo, E. (2018). The relationship between oil prices, the stock market and the exchange rate: Evidence from Mexico. The North American Journal of Economics and Finance, 45, 266-275.

Diebold, F. X., & Yilmaz, K. (2012). Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of forecasting, 28(1), 57-66.

Dizaji, S. F., & Van Bergeijk, P. A. (2013). Potential early phase success and ultimate failure of economic sanctions: A VAR approach with an application to Iran. Journal of Peace Research, 50(6), 721-736.

Dornbusch, R., & Fischer, S. (1980). Exchange rates and the current account. The American economic review, 70(5), 960-971.

Early, B. R., & Cilizoglu, M. (2020). Economic sanctions in flux: Enduring challenges, new policies, and defining the future research agenda. International Studies Perspectives, 21(4), 438-477.

Esfahani, H. S., Mohaddes, K., & Pesaran, M. H. (2013). Oil exports and the Iranian economy. The quarterly review of economics and finance, 53(3), 221-237.

Fama, E. F. (1981). Stock returns, real activity, inflation, and money. The American economic review, 71(4), 545-565.

Fisher, I., (1930). The Theory of Interest, Macmillan, New York.

Fisher, T. J., & Gallagher, C. M. (2012). New weighted portmanteau statistics for time series goodness of fit testing. Journal of the American Statistical Association, 107(498), 777-787.

Frankel, J. A. (1992). Monetary and portfolio-balance models of exchange rate determination. In International economic policies and their theoretical foundations (pp. 793-832). Academic Press.

Gavin, M. (1989). The stock market and exchange rate dynamics. Journal of international money and finance, 8(2), 181-200.

Geske, R., & Roll, R. (1983). The fiscal and monetary linkage between stock returns and inflation. The journal of Finance, 38(1), 1-33.

Ghorbani Dastgerdi, H.; Yusof, Z.B. & Shahbaz, M. (2018). Nexus between Economic Sanctions and Inflation: a Case Study in Iran, Applied Economics, 50, 1-19.

Gupta, J., Chevalier, A., & Sayekt, F. (2001). The causality between interest rate, exchange rate and stock price in emerging markets: The case of the Jakarta stock exchange. In Fuzzy Sets in Management, Economics and Marketing, 7(25) 145-163.

Ha, L.T. & Hoang, D.P. (2021). Economic Sanctions and Environmental Performance: The Moderating Role of Financial Market Development and Institutional Quality, Environmental Science and Pollution Research, 29, 19657-19678.

Ha, L.T. & Nam, P.X. (2021). An Investigation of Relationship between Global Economic Sanction and Life Expectancy: Do Financial and Institutional System Matter?, Development Studies Research, 9.

Hadinejad, M., Mohammadi, T., & Shearkhani, S. (2010). Examine the Sanctions' Efficiency on Iran's Non-Oil Trade (Gravity Model). Available at SSRN 1661723.

Hatipoglu, E., Considine, J., & AlDayel, A. (2022). Unintended Transnational Effects of Sanctions: A Global Vector Autoregression Simulation. Defense and Peace Economics, 33(5), 1-17.

Laudati, D., & Pesaran, M. H. (2021). Identifying the Effects of Sanctions on the Iranian Economy using Newspaper Coverage. arXiv preprint arXiv:2110.09400.

Li, L., Narayan, P. K., & Zheng, X. (2010). An analysis of inflation and stock returns for the UK. Journal of international financial markets, institutions and money, 20(5), 519-532.

Luintel, K. B., & Paudyal, K. (2006). Are common stocks a hedge against inflation?. Journal of Financial Research, 29(1), 1-19.

Mashayekh, S.; Moradkhani, H.H.; Honarmandi, Z. and Sabzeparvar, S. (2012). Iran Stock Market, Alternatives and Oil Prices, American Journal of Scientific Research, 80, 92-105.

Muellbauer, J., & Murphy, A. (1990). Is the UK balance of payments sustainable?. Economic Policy, 5(11), 347-396.

Otieno, D. A., Ngugi, R. W., & Muriu, P. W. (2019). The impact of inflation rate on stock market returns: evidence from Kenya. Journal of Economics and Finance, 43(1), 73-90.

Peel, D. A., & Pope, P. F. (1988). Stock Returns and expected inflation in the UK: some new evidence. Journal of Business Finance & Accounting, 15(4), 459-467.

Rangan, G., & Inglesi-Lotz, R. (2012). Macro shocks and real US stock prices with special focus on the “Great Recession”.

Zhao, H. (2010). Dynamic relationship between exchange rate and stock price: Evidence from China. Research in International Business and Finance, 24(2), 103-112.