Modeling Returns and Volatility Transmission from Crude Oil Prices to Leone-US Dollar Exchange Rate in Sierra Leone: A GARCH Approach with Structural Breaks — Oak Academic Publishing
Research ArticleOpen AccessGoogle Scholar indexed
Modeling Returns and Volatility Transmission from Crude Oil Prices to Leone-US Dollar Exchange Rate in Sierra Leone: A GARCH Approach with Structural Breaks
Staff of the Research Department, Bank of Sierra Leone, Freetown, Sierra Leone
,
Staff of the Research Department, Bank of Sierra Leone, Freetown, Sierra Leone
,
Staff of the Research Department, Bank of Sierra Leone, Freetown, Sierra Leone
,
Staff of the Research Department, Bank of Sierra Leone, Freetown, Sierra Leone
1 Staff of the Research Department, Bank of Sierra Leone, Freetown, Sierra Leone
2 Staff of the Research Department, Bank of Sierra Leone, Freetown, Sierra Leone
3 Staff of the Research Department, Bank of Sierra Leone, Freetown, Sierra Leone
4 Staff of the Research Department, Bank of Sierra Leone, Freetown, Sierra Leone
This paper sought to shed light on the impact of shocks to global oil prices on the Leone/US Dollar exchange rate in Sierra Leone during the post war period spanning 2002M6 to 2020M5. To achieve this, the paper employed the GARCH family models with structural breaks. After establishing the existence of ARCH effects and ensuring stationarity of the data set, the paper first applied both GARCH (1, 1) and GARCH (1, 1) in Mean models to capture the symmetry effect of global oil prices increase on exchange rate. Furthermore, the paper employed exponential GARCH (EGARCH (1, 1)) model to capture the asymmetric impact of oil price increase on the Leone/US Dollar exchange rate. Among the three models estimated, the EGARCH (1, 1) model was found to have the best fit as all of its mean and variance coefficients were not only found to be statistically significant but also had the least values of the model selection criteria. The empirical results suggest that an increase in oil price leads to depreciation of the exchanges rate in Sierra Leone and that exchange rate volatility exhibit s persistence and autoregressive behavior. Furthermore, the paper finds evidence of asymmetry, indicating that positive shocks to crude oil prices will lead to a higher volatility in the exchange rate than negative shocks of the same magnitude. Finally, the paper finds evidence of structural breaks in the exchange series. The main policy implication from these findings is that the monetary authority should consider global oil price dynamics and the past history of exchange rate movements when formulating policy responses to exchange rate volatility in Sierra Leone .
KeywordsGARCHCrude Oil PriceExchange Rate
Afees Salisu and Mobolaji (2013). Modeling Returns and Volatility Transmission between Oil Price and US-Nigeria Exchange Rate. Energy Economics, 39, 169-176. https://doi.org/10.1016/j.eneco.2013.05.003
Aloui, R., Aissa, M. S. B., & Nguyen, D. K. (2013). Conditional Dependence Structure between Oil Prices and Exchange Rates: A Copula-GARCH Approach. Journal of International Money and Finance, 32, 719-738. https://doi.org/10.1016/j.jimonfin.2012.06.006
Amano, R. A., & Van Norden, S. (1998a). Oil Prices and the Rise and Fall of the US Real Exchange Rate. Journal of International Money and Finance, 17, 299-316. https://doi.org/10.1016/S0261-5606(98)00004-7
Amano, R. A., & Van Norden, S. (1998b). Exchange Rates and Oil Prices. Review of International Economics, 6, 683-669. https://doi.org/10.1111/1467-9396.00136
Bal, D. P., & Rath, B. N. (2015). Nonlinear Causality between Crude Oil Price and Exchange Rate: A Comparative Study of China and India. Energy Economics, 51, 149-156. https://doi.org/10.1016/j.eneco.2015.06.013
Basher, S. A., Haug, A. A., & Sadorsky, P. (2016). The Impact of Oil Shocks on Exchange Rates: A Markov Switching Approach. Energy Economics, 54, 11-23. https://doi.org/10.1016/j.eneco.2015.12.004
Beckmann, J., & Czudaj, R. (2013). Is There a Homogeneous Causality Pattern between Oil Prices and Currencies of Oil Importers and Exporters? Energy Economics, 40, 665-678. https://doi.org/10.1016/j.eneco.2013.08.007
Beckmann, J., & Schüssler, R. (2016). Forecasting Exchange Rates under Parameter and Model Uncertainty. Journal of International Money and Finance, 60, 267-288. https://doi.org/10.1016/j.jimonfin.2015.07.001
Bénassy-Quéré, A., Mignon, V., & Penot, A. (2007). China and the Relationship between the Oil Price and the Dollar. Energy Policy, 35, 5795-5805. https://doi.org/10.1016/j.enpol.2007.05.035
Bloomberg, S. B., & Harris, E. S. (1995). The Commodity-Consumer Price Connection: Fact or Fable? Economic Policy Review, 21-38.
Buetzer, S., Habib, M. M., & Stracca, L. (2016). Global Exchange Rate Configurations: Do Oil Shocks Matter? IMF Economic Review, 64, 443-470. https://doi.org/10.1057/imfer.2016.9
Chris Brooks (2008). Introductory Econometrics for Finance (2nd ed., pp. 406-409). Reading: The ICMA Centre, University of Reading.
Dauda Mohammed, J., Afangideh, U., Ogundelend, O. S. (2019). Oil Price and Exchange Rate Nexus-Evidence from Nigeria. https://doi.org/10.5296/ijafr.v9i1.14386
Engle, R. F. (1982). Autoregressive Conditional Heteroskedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica, 50, 987-1007. https://doi.org/10.2307/1912773
EViews 9 User’s Guide II, Unit Root Tests with a Breakpoint (pp. 557-572).
Fratzscher, M., Schneider, D., & Van Robays, I. (2014). Oil Prices, Exchange Rates and Asset Prices. Working Paper Series No. 1689, Frankfurt: European Central Bank. https://doi.org/10.2139/ssrn.2269027
Ghosh, S. (2011). Examining Crude Oil Price—Exchange Rate Nexus for India during the Period of Extreme Oil Price Volatility. Applied Energy, 88, 1886. https://doi.org/10.1016/j.apenergy.2010.10.043
Golub, S. (1983). Oil Prices and Exchange Rates. The Economic Journal, 93, 576-593. https://doi.org/10.2307/2232396
Jiranyakul, K. (2015). Oil Price Volatility and Real Effective Exchange Rate: The Case of Thailand. Bangkok: School of Development Economics, National Institute of Development Administration.
Krugman, P. (1983). Oil and the Dollar. In B. Jagdeeps, & P. Bulfordh (Eds.), Economic Interdependence and Flexible Exchange Rates. Cambridge, MA: MIT Press.
Mishra, S. (2016). Analysis of Volatility Spill over between Oil Price and Exchange Rate in India: GARCH Approach. Bhubaneswar: Department of Business Administration, Utkal University. https://doi.org/10.2139/ssrn.2892670
Narayan, P. K., Narayan, S., & Prasad, A. (2008). Understanding the Oil Price-Exchange Rate Nexus for the Fiji Islands. Energy Economics, 30, 2686-2696. https://doi.org/10.1016/j.eneco.2008.03.003
Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59, 347-370. https://doi.org/10.2307/2938260
Nikbakht, L. (2010). Oil Prices and Exchange Rates: The Case of OPEC. Business Intelligence Journal, 3, 83-92.
Oluwatomisin, O., Ojeaga, P., & Agundip, A. (2014). Oil Price and Exchange Rate Volatility in Nigeria. IOSR Journal of Economics and Finance, 5, 2321-5925. https://doi.org/10.9790/5933-0540109
Perron, P. (1989). The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis. Econometrica, 57, 1361-1401. https://doi.org/10.2307/1913712
Perron, P., & Vogelsang, T. J. (1992). Non-Stationarity and Level Shifts with an Application to Purchasing Power Parity. Journal of Business & Economic Statistics, 10, 301-320. https://doi.org/10.1080/07350015.1992.10509907
Reboredo, J. C. (2012). Modelling Oil Price and Exchange Rate Co-Movements. Journal of Policy Modeling, 34, 419-440. https://doi.org/10.1016/j.jpolmod.2011.10.005
Reboredo, J., & Rivera-Castro, M. A. (2013). A Wavelet Decomposition Approach to Crude Oil Price and Exchange Rate Dependence. Economic Modelling, 32, 42-57. https://doi.org/10.1016/j.econmod.2012.12.028
Sibanda, K., & Mlambo, C. (2014). The Impact of Oil Prices on the Exchange Rate in South Africa. Journal of Economics, 5, 193-199. https://doi.org/10.1080/09765239.2014.11884996
Thorlie, M. A., Song, L. X., Wang, X. G., & Amin, M. (2014). Modelling Exchange Rate Volatility Using Asymmetric GARCH Models (Evidence from Sierra Leone). International Journal of Science and Research (IJSR), 3, 1206-1214. https://www.ijsr.net/search_index_results_paperid.php?id=OCT141143
Tiwari, A. K., Mutascu, M. L., & Albulescu, C. T. (2013). The Influence of the International Oil Prices on the Real Effective Exchange Rate in Romania in a Wavelet Transform Network. Energy Economics, 40, 714-733. https://doi.org/10.1016/j.eneco.2013.08.016
Turhan, M. I., Sensoy, A., & Hacihasanoglu, E. (2014). A Comparative Analysis of the Dynamic Relationship between Oil Prices and Exchange Rates. Journal of International Financial Markets, Institutions and Money, 32, 397-414. https://doi.org/10.1016/j.intfin.2014.07.003
Vogelsang, T. J., & Perron, P. (1998). Additional Test for Unit Root Allowing for a Break in the Trend Function at an Unknown Time. International Economic Review, 39, 1073-1100. https://doi.org/10.2307/2527353
Wilhelmsson (2006). Garch Forecasting Performance under Different Distribution Assumptions. Journal of Forecasting, 25, 561-578. https://doi.org/10.1002/for.1009
Zhang, Y.-J. (2013). The Links between the Price of Oil and the Value of US Dollar. International Journal of Energy Economics and Policy, 3, 341-351.