The Effect of Exchange Rate Uncertainty on Iran's Non-Oil Trade Balance: Stochastic Volatility Model Approach

اقتصاد پولی مالی

Article 7, Volume 25, Issue 15, May 2018, Pages 49-80

Document Type: پژوهشی

DOI: 10.22067/pm.v25i16.64262

Authors

behnam elyaspour¹; mohammadtaher ahmadi shadmehri^{* 2}; mohammadreza lotfalipour¹; mohammadali falahi¹

¹ferdowsi mashhad

²ferdoesi mashhad

Abstract

The exchange rate has always been a fundamental issue in the economic literature because of its significant effect on economic performance. Iran is a country that earns important part of its income from foreign exchange earnings by selling mineral materials. This study, therefore, investigates the effect of exchange rate uncertainty on Iran’s non-oil trade balance for the period 1989-2015. Stochastic volatility model is used for calculating uncertainty index of exchange rate. Then, the effect of exchange rate uncertainty on Iran’s Non-Oil trade balance is estimated by using Rose and Yellen (1989) model and Johansen and Juselius (1990) cointegration procedure. The results indicate that real exchange rate and its uncertainty have a negative effect on Iran’s non-oil trade balance in long-run. Therefore, the Marshall-Lerner condition is not met. In addition, J-Curve is rejected due to impulse response functions.
Keyword: Real Exchange Rate, Non-Oil Trade Balance, Uncertainty, Stochastic Volatility Model, Cointegration
JEL Classification: C32, D80, F10, F31
 
Introduction
Since the advent of the current float in 1973, most countries have been concerned about the uncertainty that floating exchange rates have introduced into world markets. Most European countries have tried to avoid this uncertainty by joining the Euro zone and adopting a common currency, which has flavors of a fixed exchange-rate system. However, most other countries still have to deal with the side effects of exchange rate uncertainty since their exchange rates float.
There are several channels through which exchange rate volatility could affect the trade flows. First, if traders are risk averse, they could reduce their activities due to exchange rate uncertainty in order to avoid any loss. Second, exchange rate uncertainty could directly affect the trade volume by making prices and profits uncertain, especially in countries where forward markets do not exist such as the developing world. Even if forward markets do exist in some industrial countries, some studies indicate that forward markets are not very effective in completely eliminating exchange rate uncertainty. Third, if exchange rate volatility persists over a longer period of time, it could induce domestic producers to switch buying from foreign sources to domestic sources, reducing the volume of trade, especially traded inputs. Finally, exchange rate uncertainty could also affect direct foreign investment decisions which in turn could lower the volume of trade. To reduce the price fluctuation due to exchange rate volatility, production facilities would be located near final markets, leading to change in pattern of trade.
Considering the numerous economic changes affecting the exchange rate in the studied period (1989-2015) in Iran, like the oil price shocks, the change of commercial policies, and changing foreign exchange policies and economic sanctions, studying the effect of exchange rate fluctuations on the non-oil trade balance is essential.
 
Theoretical Framework
The relationship of exchange rate and trade balance is explained by various theoretical approaches like the elasticity approach, absorption approach, Marshall-Lerner Condition, J-Curve approach, monetary approach and the two countries imperfect substitution model approach.
Of these, the two countries imperfect substitution model of the Rose and Yellen (1989) is used in this paper to model the relationship between exchange rate and trade balance. This approach shows the nature of the relationship of real exchange rate on trade balance in both short and long run. It stipulates that depreciation of the real exchange rate improves trade balance. Besides, the model assumes that there are no perfect substitutes in the imports and exports for the locally produced goods and services.
Rose and Yellen (1989) start with a specification of the import demand equations. As in Marshallian demand analysis, the volume of imported goods demanded by the home (foreign) country is determined by real domestic (foreign) income and the relative price of imported goods. Clearly, real income has a positive impact on the volume of import demand, and the relative price of imported goods has a negative relationship
 
Methodology      
This study, investigates the effect of exchange rate uncertainty on Iran’s non-oil trade balance for the period 1989-2015. Stochastic volatility model (SV) is used for calculating uncertainty index of exchange rate. Then, the effect of exchange rate uncertainty on Iran’s non-oil trade balance is estimated using Rose and Yellen (1989)’s model and Johansen and Juselius (1990)’s cointegration procedure.
An alternative to GARCH-type models is the class of stochastic volatility models, which postulate that volatility is driven by its own stochastic process. Estimation and inference of SV models are more complicated than for GARCH models. On the other hand, SV models have some advantages compared with GARCH models. For example, SV models offering a natural economic interpretation of volatility are easier to connect with continuous-time diffusion models with SV, and are often found to be more flexible in the modeling of financial returns. A variety of estimation methods have been proposed to estimate the SV models, in this paper MCMC methods are used to estimate of SV model.
 
 Results and Discussion
The results show that all variables in trade balance model are integrated of first order or in short hand are I(1) and cointegration test suggests one cointegrating vector for this variables.  
Briefly, the results of estimate vector show that real exchange rate, volatility of real exchange rate and GDP of Iran have negative effect on non-oil trade balance and GDP of the world has positive effect on Non-Oil trade balance.  
 
Conclusions and Suggestions
The results of estimating trade balance in long-run show that real exchange rate has negative effect on non-oil trade balance; therefore, the Marshall-Lerner condition is not met. In addition to, J-Curve is rejected due to impulse response functions. Also, uncertainty of the real exchange rate has negative effect on non-oil trade balance; therefore, policy makers must adopt policies to help stabilize the real exchange rate.

Keywords

Real Exchange Rate; Non-oil Trade Balance; Uncertainty; Stochastic Volatility Model; cointegration

References

[1] Ahmadi Shadmehri, M. & Ahmadian Yazdi, F. (2012). The Study of The Impact of Real Exchange Rate on the Iran’s Non-Oil Trade, Journal of Economy and Regional Development, 19(4), 114-155. (In Persian)

[2] Ali, D. A., Johari, F. & Alias, M. H. (2014). The Effect of Exchange Rate Movements on Trade Balance: A Chronological Theoretical Review. Economics Research International, 343-349.

[3] Asgharpour, H., mohammadpour, S., rezazadeh, A. & jahangiri, K.h. (2012). The Effect of Exchange Rate Volatility on Agricultural Export, Journal of Agricultural Economics Reseach, 4(1), 121-137. (In Persian)J

[4] Bahmani-Oskooee, M. & Bolhassani, M. (2014). Exchange Rate Uncertainty and Trade between US and Canada: Is There Evidence of Third-Country Effect?. The International Trade Journal, 28(1), 23-44.

[5] Bahmani-Oskooee, M. & Ratha, A. (2004). The J-curve: a literature review. Applied economics, 36(13), 1377-1398.

[6] Bahmani-Oskooee, M. & Brooks, T. J. (1999). Bilateral J-curve between US and her trading partners. Weltwirtschaftliches Archiv, 135(1), 156-165.

[7] Bakhromov, N. (2011). The Exchange Rate Volatility and the Trade Balance: Case of Uzbekistan. Journal of Applied Economics and Business Research, 1(3), 149-161.

[8] Bauwens, L., Hafner, C. M. & Laurent, S. (2012). Handbook of Volatility Models and Their Applications (Vol. 3). John Wiley and Sons.

[9] Duasa, J. (2007). Determinants of Malaysian Trade Balance: An ARDL Bound Testing Approach. Global Economic Review, 36(1), 89-102.

[10] Falahi, M.A., Homayounifar M. & Yavari Z. (2013). The Effects of Exchange Rate Volatility on Export Demand for Apple and Potato (The Main Developing Producer and Exporting Countries), Journal of Agricultural Economics and Development, 27(3), 204-212. (In Persian)

[11] Gandolfo, G. (2013). International Economics II: International Monetary Theory and Open-Economy Macroeconomics. Springer Science and Business Media.

[12] Hasani Dizaji, K. (2011). The Study of The Effect of Exchange Rate Fluctuations on The Trade of Selected Agricultural Products and The Trade Balance of The Agricultural Sector, Master's Thesis, Tarbiat Modares University. (In Persian)

[13] Heidari, H., Salehiyan Salehi Nejad, Z. & Feizi, S. (2014). Investigation and Analysis of Iran’s Trade Balance Reaction to Exchange Rate Changes: A Time Varying Parameter Approach, Journal of Economic Research, 14(54), 67-99. (In Persian)

[14] Heidari, H. & Zarei, F. (2012). Investigating the Commercial Relations between Iran and Its Other Major Trading Partner Focusing on J-Curve Test, Journal of Economical Modeling, 6(18), 83-103. (In Persian)

[15] Herve, G. B. D., Shen, Y. & Amed, A. (2010). The effects of real exchange rate on trade balance in Cote d’Ivorie: Evidence from the cointegration analysis and error-correction models. MPRA Paper No. 21810

[16] Huchet-Bourdon, M. & J. Korinek. (2012). Trade Effects of Exchange Rates and Their Volatility: Chile and New Zealand, OECD Trade Policy Papers, No. 136, OECD Publishing.

[17] Huchet-Bourdon, M. & J. Korinek. (2011). To What Extent Do Exchange Rates and Their Volatility Affect Trade?, OECD Trade Policy Papers, No. 119, OECD Publishing.

[18] Igue, N. N. & Ogunleye, T. S. (2014). Impact of Real Exchange Rate on Trade Balance in Nigeria. African Development Review, 26(2), 347-358.

[19] Kemal, M. A. (2005). Exchange Rate Instability and Trade: The Case of Pakistan (No. 2005: 186). Pakistan Institute of Development Economics.

[20] Lal, A. & Lowinger, T. (2002). The J-curve: Evidence from East Asia. Journal of Economic Integration, 17(2): 397-415.

[21] Lindert, P.H. & Pugel, T.A. (1996). International Economics (10th Ed.). United States of America: Irwin, Chicago.

[22] Lotfalipour, M. R., & Bazargan, B. (2014). The Impact of Exchange Rate Volatility on Trade Balance of Iran. Advances in Economics and Business, 2(8), 293-302.

[23] Lotfalipour, M.R. & Bazargan, B. (2016). The Study of Real Effective Exchange Rate, Export and Import Changes on Trade Balance in Iran, Journal of the Economic Research, 16(1), 73-94. (In Persian)

[24] Mansouri Bidakani, M. (2014). The Impact of Exchange Rate Uncertainty on Iran's Exports and Imports, Master's Thesis, Azad University. (In Persian)

[25] Memarian, E. & Jalali Naeeni, A.R. (2010). Short-Run and Long-Run Effects of Exchange Rate Shocks on Iran's Trade Balance (J-Curve Phenomenon Test Based on a VECM Model), Journal of Economic Research, 10(37), 45-69. (In Persian)

[26] Mohammadi, T., Taghavi, M. & Bandidarian, A. (2012). The Effect of Exchange Rate Uncertainty on Import with TARCH Approach. International Journal of Management and Business Research, 1(4), 211-220.

[27] Narayan, P. K. (2006). Examining the Relationship between Trade Balance and Exchange Rate: The Case of China’s Trade with the USA. Applied Economics Letters, 13(8): 507-510.

[28] Ng, Y. L., Har, W. M. & Tan, G. M. (2009). Real Exchange Rate and Trade Balance Relationship: An Empirical Study on Malaysia. International Journal of Business and Management, 3(8), 130.

[29] Nouri, M. & Navidi, H. (2013). The Exchange Rate Risk and Non-Oil Export in Iran, Journal of Economic Growth and Development Research, 3(9), 59-70. (In Persian)

[30] Ogutu, G. O. (2014). Effects Of The Real Exchange Rate on The Trade Balance in Kenya. International institute of social studies.

[31] Ozturk, I. (2006). Exchange Rate Volatility and Trade: A Literature Survey. International Journal of Applied Econometrics and Quantitative Studies, 3(1), 85-102.

[32] Pedram, M., Shirinbakhsh, S. & Rahmani, M. (2011). The J-Curve Dynamics of Iran Foreign Trade, Journal of Economic Research and Polices, 19(60), 5-18. (In Persian)

[33] Pesaran, H. H. & Shin, Y. (1998). Generalized Impulse Response Analysis In Linear Multivariate Models. Economics letters, 58(1), 17-29.

[34] Rahimi, H. (2001). The Study of the Effect of Exchange Rate Changes on Export Prices and Trade Balance: The Case of Iran (1966-1997), Master's Thesis, Shiraz University. (In Persian)

[35] Rasekhi, S., Montazeri, M. & Pasha, P. (2015). Asymmetric Non Linear Response of Trade Balance to Real Exchange Rate Changes: A Case Study of Iran, Journal of Fiscal and Economic Policies, 2(8), 41-62. (In Persian)

[36] Rose, A. K. & Yellen, J. L. (1989). Is There a J-Curve?. Journal of Monetary economics, 24(1), 53-68.

[37] Salvatore, D. (2013). International Economics. John Wiley & Sons.

[38] Sepahvand, E., Niroomand, R. & Zare Mehrjerdi M R. (2015). Effective Factors in Iran Exchange Rate. Journal of Economic Development Research, 4(16), 23-42. (In Persian)

[39] Shahbaz, M., Jalil, A. & Islam, F. (2010). Real Exchange Rate Changes and Trade Balance in Pakistan: A revisit. MPRA Paper No. 27631 posted 23.

[40] Shao, Z. (2008). Exchange Rate Changes and Trade Balance: An Emprical Study of the Case of Japan. Singapore Management Universty, 1-49.

[41] Sharif Azadeh, M.R. & Haghighat, A. (2005). The Effective Determinants of Exchange Rates in Iran, Journal of Management System, 17(3), 31-43. (In Persian)

[42] Shirvani, H. & Wilbratte, B. (1997). The Relationship between the Real Exchange Rate and the Trade Balance: An Empirical Reassessment. International economic journal, 11(1), 39-50.

[43] Soori, A. (2012). Econometric With Application of Eviews 7, Nourelm, Fifth Edition. (In Persian)

[44] Stanèik, J. (2007). Determinants of Exchange-Rate Volatility: The Case of the New EU Members. Czech Journal of Economics and Finance (Finance a uver), 57(9-10), 414-432.

[45] Stucka, T. (2004). The Effects of Exchange Rate Change on the Trade Balance in Croatia. IMF Working Papers, 2004(65), 1-29.

[46] Takahashi, M., Omori, Y. & Watanabe, T. (2009). Estimating Stochastic Volatility Models Using Daily Returns and Realized Volatility Simultaneously. Computational Statistics and Data Analysis, 53(6), 2404-2426.

[47] Tenreyro, S. (2007). On the Trade Impact of Nominal Exchange Rate Volatility. Journal of Development Economics, 82(2), 485-508.

[48] Torki, L., Tayebi, K., yazdani, M. & Fathi, E. (2014). Dynamics of Iranian Trade with Ten Trade Partners to Exchange Rate Changes According to Financial Crisis Index, Journal of Economic Research, 14(53), 167-196. (In Persian)

[49] Trinh, P. T. T. (2012). The Impact Of Exchange Rate Fluctuation On Trade Balance In Short And Long Run (No. 23). Development and Policies Research Center (DEPOCEN), Vietnam.

[50] Vargas, G. (2010). Exchange Rate Volatility and Trade: EA-11 and Mexico, Master Thesis In Economics, Jönköping University.

[51] Wang, C. H., Lin, C. H. A. & Yang, C. H. (2012). Short-Run and Long-Run Effects of Exchange Rate Change on Trade Balance: Evidence from China and Its Trading Partners. Japan and the World Economy, 24(4), 266-273.

[52] Vartabian Kashani, H. (2014). The Analysis of Exchange Rate Volatilities during (2010-2012), Journal of Fiscal and Economic Policies, 1(4), 131-154. (In Persian)

[53] Yu, J. & Meyer, R. (2006). Multivariate Stochastic Volatility Models: Bayesian Estimation and Model Comparison. Econometric Reviews, 25(2-3), 361-384.

[54] Yusoff, M. B. (2010). The Effects of Real Exchange Rate on Trade Balance and Domestic Output: A Case of Malaysia. The International Trade Journal, 24(2), 209-22.