This research investigates the relationship between exchange rate volatility forecasting and its impact on inflation in Sierra Leone, utilizing a GARCH-MIDAS approach with mixed data. The analysis spans from January 2020 to August 2023 for monthly inflation and daily nominal exchange rates, employing the GARCH-MIDAS model and the Prophet machine learning model for forecasting exchange rates. Our findings highlight a robust link between monthly inflation and daily exchange rate volatility, emphasizing the critical connection between exchange rate depreciation and heightened inflation in Sierra Leone’s import-reliant economy. Exchange rate patterns reveal a consistent depreciation trend of the Leone against the US dollar, with a projected peak rate of 1 US dollar equal to 25.64 Leones by March 12, 2024. Distinctive patterns of strengthening on Sundays and Mondays, followed by sharp depreciation from Tuesdays onward, are observed due to dynamics in foreign exchange market demand. Notably, the study identifies increased depreciation during April and May, associated with the Hajj pilgrimage, and a resurgence of exchange rate pressure in mid-October due to importer demand for essential commodities. Policy implications point to the need for the Bank of Sierra Leone to adopt unconventional measures, emphasizing effective inflation-targeting policies, exchange rate stabilization, diversification of imports, and prudent foreign exchange reserve accumulation. Investments in resilient sectors like agriculture and manufacturing are crucial to reduce import dependency. In conclusion, this research reveals the relationship between exchange rate volatility and inflation in Sierra Leone while identifying a knowledge gap that warrants further investigation into the impact of geopolitical events and supply chain disruptions on exchange rates and inflation, offering valuable insights for more effective policy formulation.
Cite this paper
Tamuke, E. C. E. and Kamara, L. O. M. (2024). The Role of Forecasting Exchange Rate Volatility and Its Impact on Inflation in Sierra Leone: Evidence from a GARCH-MIDAS approach. Open Access Library Journal, 11, e2172. doi: http://dx.doi.org/10.4236/oalib.1112172.
Jackson, E.A. (2020) Adoption of Inflation Targeting in Sierra Leone: An Empirical Discourse. İktisat Politikası Araştırmaları Dergisi. Journal of Economic Policy Researches, 7, 21-50. https://doi.org/10.26650/jepr735604
Bangura, M.C. (2012) Exchange Rate Pass-Through to Infla-tion in Sierra Leone: A Structural Vector Autoregressive Approach. Journal of Monetary and Economic Integration, 12, 93-123.
Warburton, C.E.S. and Jackson, E.A. (2020) Monetary Policy Responses to Exogenous Perturbations: The Case of a Small Open Economy (2007-2018). PSL Quarterly Review, 73, 181-201.
Santacreu, A.M. and LaBelle, J. (2022) Global Supply Chain Disruptions and Inflation during the COVID-19 Pandemic. Review, 104, 78-91. https://doi.org/10.20955/r.104.78-91
Froot, K.A. and Rogoff, K. (1995) Chapter 32 Perspectives on PPP and Long-Run Real Exchange Rates. Handbook of International Economics, 3, 1647-1688. https://doi.org/10.1016/s1573-4404(05)80012-7
Adler, M. and Dumas, B. (1983) International Portfolio Choice and Corporation Finance: A Synthesis. The Journal of Finance, 38, 925-984. https://doi.org/10.1111/j.1540-6261.1983.tb02511.x
Marquez, R. (2002) Competition, Ad-verse Selection, and Information Dispersion in the Banking Industry: Table 1. Review of Financial Studies, 15, 901-926. https://doi.org/10.1093/rfs/15.3.901
Bahmani-Oskooee, M. and Hegerty, S.W. (2009) The Effects of Exchange-Rate Volatility on Commodity Trade between the United States and Mexico. Southern Economic Journal, 75, 1019-1044. https://doi.org/10.1002/j.2325-8012.2009.tb00945.x
Jackson, E.A., Tamuke, E. and Sillah, A. (2021) Is There a J-Curve Effect in Sierra Leone? An Empirical Analysis with VECM. Modern Economy, 12, 1486-1518. https://doi.org/10.4236/me.2021.1210076
Frankel, J.A. (1986) Expectations and Commodity Price Dynamics: The Overshooting Model. American Journal of Agricultural Economics, 68, 344-348. https://doi.org/10.2307/1241436
Salisu, A.A., Cuñado, J. and Gupta, R. (2022) Geopolitical Risks and Historical Exchange Rate Volatility of the BRICS. International Review of Economics & Finance, 77, 179-190. https://doi.org/10.1016/j.iref.2021.09.017
Barunik, J., Krehlik, T. and Vacha, L. (2016) Modeling and Forecasting Exchange Rate Volatility in Time-Frequency Domain. European Journal of Operational Research, 251, 329-340. https://doi.org/10.1016/j.ejor.2015.12.010
Obstfeld, M. and Rogoff, K. (2000) The Six Major Puzzles in International Macroe-conomics: Is There a Common Cause? NBER Macroeconomics Annual, 15, 339-390. https://doi.org/10.1086/654423
Benavides, G. and Capistrán, C. (2012) Forecasting Exchange Rate Volatility: The Superior Performance of Conditional Combinations of Time Series and Option Implied Forecasts. Journal of Empirical Finance, 19, 627-639. https://doi.org/10.1016/j.jempfin.2012.07.001
Hansen, P.R. and Lunde, A. (2005) A Forecast Comparison of Volatility Models: Does Anything Beat a GARCH(1,1)? Journal of Applied Econometrics, 20, 873-889. https://doi.org/10.1002/jae.800
Engle, R.F., Ghysels, E. and Sohn, B. (2013) Stock Market Volatility and Macroeconomic Fundamentals. Review of Economics and Statistics, 95, 776-797. https://doi.org/10.1162/rest_a_00300