A System Dynamics Model Of Exchange Rate Determination And Forecasting

Main Article Content

Aima Khan


Objective: The objective of this paper is to develop a model of exchange rate determination and forecasting to provide reasonable forecasts for the exchange rate to facilitate long-term investments.

Design: The study develops the model using the system dynamics method. Grounded on the fundamental theories, the model incorporates nonlinear feedback relationships of interest rate, inflation, per capita income, terms of trade, and oil prices with the exchange rate.

Findings: The simulation results indicate the robustness of the model to mimic not only the long term past behavior of the exchange rate but also its ability to provide a reliable long-term forecast for the exchange rate. The model is portable and applies to any oil-exporting country after calibration.

Policy Implications: The study has practical implications for individuals, businesses, and the Government because they are all influenced by the exchange rate movements. Specifically, this model provides a useful tool for long term strategic financial planning of oil firms.

Originality: The study develops a model for exchange rate accounting for nonlinear feedback relationships among the variables.


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Khan, A. (2020). A System Dynamics Model Of Exchange Rate Determination And Forecasting. SEISENSE Journal of Management, 3(4), 44-55. https://doi.org/10.33215/sjom.v3i4.367
Research Articles

Copyright (c) 2020 Aima Khan

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This work is licensed under a Creative Commons Attribution 4.0 International License.

Aima Khan, University of Bergen, Norway

Aima Khan is a Ph.D. scholar at the system dynamics group, “University of Bergen”, Norway. She is a lecturer at “The women university”, Multan, Pakistan. She holds an MBA degree and a Master of Science (MS) with a specialization in finance. Her Ph.D. project focuses on firm valuation and policy analysis
using system dynamics. Her major area of interest for research involves finance using simulation as well as econometrics. She has publications in scientific journals.

Abbas, Q., Iqbal, J., & Ayaz, L. (2012). Relationship between GDP, inflation and real interest rate with exchange rate fluctuation of African countries. International Journal of Academic Research in Accounting, Finance and Management Sciences, 2(3), 132-141.

Ajao, M. G. (2015). The determinants of real exchange rate volatility in Nigeria. Ethiopian Journal of Economics, 24(2), 43-62.

Bahmani-Oskooee, M., Chang, T., Chen, T.-H., & Tzeng, H.-W. (2017). Revisiting purchasing power parity in Eastern European countries: quantile unit root tests. Empirical Economics, 52(2), 463-483. doi: 10.1007/s00181-016-1099-z DOI: https://doi.org/10.1007/s00181-016-1099-z

Bodenstein, M., Erceg, C. J., & Guerrieri, L. (2011). Oil shocks and external adjustment. Journal of International Economics, 83(2), 168-184. doi: 10.1016/j.jinteco.2010.10.006 DOI: https://doi.org/10.1016/j.jinteco.2010.10.006

Cerra, V., & Saxena, S. C. (2010). The monetary model strikes back: Evidence from the world. Journal of International Economics, 81(2), 184-196. doi: 10.1016/j.jinteco.2010.03.003 DOI: https://doi.org/10.1016/j.jinteco.2010.03.003

Crowley, P., & Lee, J. (2003). EXCHANGE RATE VOLATILITY AND FOREIGN INVESTMENT: International Evidence. The International Trade Journal, 17(3), 227-252. doi: 10.1080/08853900390222171 DOI: https://doi.org/10.1080/08853900390222171

Dąbrowski, M. A., Papież, M., & Śmiech, S. (2014). Exchange rates and monetary fundamentals in CEE countries: Evidence from a panel approach. Journal of Macroeconomics, 41, 148-159. DOI: https://doi.org/10.1016/j.jmacro.2014.05.005

Jiang, C., Jian, N., Liu, T.-Y., & Su, C.-W. (2016). Purchasing power parity and real exchange rate in Central Eastern European countries. International Review of Economics & Finance, 44, 349-358. doi: 10.1016/j.iref.2016.02.006 DOI: https://doi.org/10.1016/j.iref.2016.02.006

Kilicarslan, Z. (2018). Determinants of exchange rate volatility: empirical evidence for Turkey. Pressacademia, 5(2), 204-213. doi: 10.17261/Pressacademia.2018.825 DOI: https://doi.org/10.17261/Pressacademia.2018.825

Kim, J.-M., & Jung, H. (2018). Dependence Structure between Oil Prices, Exchange Rates, and Interest Rates. The Energy Journal, 39(2). doi: 10.5547/01956574.39.2.jkim DOI: https://doi.org/10.5547/01956574.39.2.jkim

Kuttner, K. N., & Posen, A. S. (2000). Inflation, Monetary Transparency, and G3 Exchange Rate Volatility. SSRN Electronic Journal. doi: 10.2139/ssrn.239300 DOI: https://doi.org/10.2139/ssrn.239300

Madura, J. (2006). Exchange rate Determination; International financial management (10th ed.): Cengage Learning.

Madura, J., & Fox, R. (2011). International Financial Management, Cengage Learning: EMEA.

Martins, J. F. d. S. (2015). Impact of real exchange rate volatility on foreign direct investment inflows in Brazil.

Meese, R. A., & Rogoff, K. (1983). Empirical exchange rate models of the seventies. Journal of International Economics, 14(1-2), 3-24. doi: 10.1016/0022-1996(83)90017-X DOI: https://doi.org/10.1016/0022-1996(83)90017-X

Oaikhenan, H. E., & Aigheyisi, O. S. (2015). Factors explaining exchange rate volatility in Nigeria: theory and empirical evidence.

Öge Güney, P., & Hasanov, M. (2014). Real interest rate parity hypothesis in post-Soviet countries: Evidence from unit root tests. Economic Modelling, 36, 120-129. doi: 10.1016/j.econmod.2013.09.017 DOI: https://doi.org/10.1016/j.econmod.2013.09.017

Park, C., & Park, S. (2013). Exchange rate predictability and a monetary model with time-varying cointegration coefficients. Journal of International Money and Finance, 37, 394-410. doi: 10.1016/j.jimonfin.2013.05.003 DOI: https://doi.org/10.1016/j.jimonfin.2013.05.003

Perera, P., Silva, N. L. C., & Silva, N. L. (2018). The impact of interest rate in determining exchange rate: Revisiting interest rate parity theory. Journal for Accounting Researchers and Educators (JARE), 1(1).

Reboredo, J. C. (2012). Modelling oil price and exchange rate co-movements. Journal of Policy Modeling, 34(3), 419-440. doi: 10.1016/j.jpolmod.2011.10.005 DOI: https://doi.org/10.1016/j.jpolmod.2011.10.005

Rogoff, K. (1996). The purchasing power parity puzzle. Journal of Economic literature, 34(2), 647-668.

Sterman, J. (2000). System Dynamics: systems thinking and modeling for a complex world.

Sterman, J. D. (1984). Appropriate summary statistics for evaluating the historical fit of system dynamics models. Dynamica, 10(2), 51-66.

Suryani, E., Chou, S.-Y., Hartono, R., & Chen, C.-H. (2010). Demand scenario analysis and planned capacity expansion: A system dynamics framework. Simulation Modelling Practice and Theory, 18(6), 732-751. doi: 10.1016/j.simpat.2010.01.013 DOI: https://doi.org/10.1016/j.simpat.2010.01.013