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

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  • Roudari, Soheil

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.

Suggested Citation

  • 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?," MPRA Paper 126829, University Library of Munich, Germany, revised 15 Sep 2024.
    • Handle: RePEc:pra:mprapa:126829
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    References listed on IDEAS

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    1. Fama, Eugene F, 1981. "Stock Returns, Real Activity, Inflation, and Money," American Economic Review, American Economic Association, vol. 71(4), pages 545-565, September.
    2. Rangan GUPTA & Roula INGLESI-LOTZ, 2012. "Macro Shocks and Real US Stock Prices with Special Focus on the “Great Recession”," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 12(2).
    3. Bodie, Zvi, 1976. "Common Stocks as a Hedge against Inflation," Journal of Finance, American Finance Association, vol. 31(2), pages 459-470, May.
    4. Geske, Robert & Roll, Richard, 1983. "The Fiscal and Monetary Linkage between Stock Returns and Inflation," Journal of Finance, American Finance Association, vol. 38(1), pages 1-33, March.
    5. Donald A. Otieno & Rose W. Ngugi & Peter W. Muriu, 2019. "The impact of inflation rate on stock market returns: evidence from Kenya," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(1), pages 73-90, January.
    6. Hamidreza Ghorbani Dastgerdi & Zarinah Binti Yusof & Muhammad Shahbaz, 2018. "Nexus between economic sanctions and inflation: a case study in Iran," Applied Economics, Taylor & Francis Journals, vol. 50(49), pages 5316-5334, October.
    7. Kul B. Luintel & Krishna Paudyal, 2006. "Are Common Stocks A Hedge Against Inflation?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 29(1), pages 1-19, March.
    8. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    9. Orazio P. Attanasio & Laura Blow & Robert Hamilton & Andrew Leicester, 2009. "Booms and Busts: Consumption, House Prices and Expectations," Economica, London School of Economics and Political Science, vol. 76(301), pages 20-50, February.
    10. Dario Laudati & M. Hashem Pesaran, 2023. "Identifying the effects of sanctions on the Iranian economy using newspaper coverage," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 271-294, April.
    11. Gavin, Michael, 1989. "The stock market and exchange rate dynamics," Journal of International Money and Finance, Elsevier, vol. 8(2), pages 181-200, June.
    12. Greg Adams & Grant McQueen & Robert Wood, 2004. "The Effects of Inflation News on High Frequency Stock Returns," The Journal of Business, University of Chicago Press, vol. 77(3), pages 547-574, July.
    13. Areli Bermudez Delgado, Nancy & Bermudez Delgado, Estefanía & Saucedo, Eduardo, 2018. "The relationship between oil prices, the stock market and the exchange rate: Evidence from Mexico," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 266-275.
    14. Thomas J. Fisher & Colin M. Gallagher, 2012. "New Weighted Portmanteau Statistics for Time Series Goodness of Fit Testing," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(498), pages 777-787, June.
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    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • F5 - International Economics - - International Relations, National Security, and International Political Economy
    • G01 - Financial Economics - - General - - - Financial Crises

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