A Model Approach to Understanding Monetary Aggregates Growth in Sierra Leone and Implications for Policy Formulation

  • Emerson Abraham JACKSON Modelling and Forecasting Section Research and Statistics Department, Bank of Sierra Leone, Sierra Leone
  • Patricia Sarah VANDY Acting Head, Financial Services Department Institute of Public Administration and Management, University of Sierra Leone, Sierra Leone


This study has adopted a model approach to developing an understanding of monetary aggregates (MA) growth in Sierra Leone, which certainly has implications for effective policy formulation by the central bank authority. In pursuance of this, we utilized the Autoregressive Moving Average (ARIMA) model with data spanning 2002M1 to 2021M12 to investigate the out-of-sample projection performance of the disaggregated components that makes up the MA for Sierra Leone – typically in this case Reserve Money (RMA), Currency-in-Circulation (CiC) and Reserve Money (RM). In our evidence from the empirical projection (covering the period 2022M1-2022M12), we observed that RM is projected to grow more than CiC over the observed period. Given RM being the operational target of the Bank of Sierra Leone, we believe that such an outcome is a promising indication particularly in ensuring the bank addresses its core mandates of monitoring price and financial stability. The increased scope of RM in the BSL system is a laudable outcome when it comes to meeting reserve requirements and also managing risks about price and financial stability. The study recommends that the BSL adopt innovation strategies concerned with FinTech and the emergence of the National Switch to effectively manage the MA portfolio in the entire banking system, which will also support the overall growth ambition of the central government.



[1] Bošnjak, M., Novak, I. and Krišto, A. 2018. Monetary and absorption approach to explain the Croatian current account. Zb. rad. Ekon. fak. Rij., 36(2): 929-946. DOI:https://doi.org/10.18045/zbefri.2018.2.929
[2] Box, G.E.P., & Jenkins, G.M. 1976. Time series analysis: Forecasting and control. San Francisco: Holden-Day.
[3] Currie, L. 1956. Studies in the Quantity Theory of Money. Chicago: University of Chicago Press.
[4] Dinh, D.V. 2019. Forecasting domestic credit growth based on ARIMA model: Evidence from Vietnam and China. Management Science Letters, 10: 100-110. DOI:http://10.5267/j.msl.2019.11.010
[5] Elger, T., Jones, B.E., and Nilsson, B. 2006. Forecasting with Monetary Aggregates: Recent Evidence for the United States. Journal of Economics and Business, 58(5–6): 428-446. DOI:https://doi.org/10.1016/j.jeconbus.2006.06.004
[6] Estrella, A., and Mishkin, F.S. 1996. Is there a role for Monetary Aggregates in the conduct of Monetary Policy? National Bureau of Economic Research (NBER) Working Paper 5845. Retrieved March 2, 2022, from https://www.nber.org/system/files/working_papers/w5845/w5845.pdf
[7] Fisher, I. 1936. 100% Money. Adelphi Company: New York, NY, USA.
[8] Friedman, M. 1970. A Theoretical Framework for Monetary Analysis. Journal of Political Economy, 78(2): 193–238. DOI: http://www.jstor.org/stable/1830684
[9] Garratt, A., Koop, G., Mise, E., and Vahey, S.P. 2009. Real-Time Prediction with U.K. Monetary Aggregates in the Presence of Model Uncertainty. Journal of Business & Economic Statistics, 27(4): 480-491. DOI: https://doi.org/10.1198/jbes.2009.07208
[10] Hamjah, M.A. 2014. Climatic Effects on Major Pulse Crops Production in Bangladesh: An Application of Box-Jenkins ARIMAX Model. Journal of Economics and Sustainable Development, 5(15): 169-180.
[11] Jabbie, M., and Jackson, E.A. 2020. On the Validity of Purchasing Power Parity (PPP): The Case of Sierra Leone. Journal of Advanced Studies in Finance (JASF), 1(21): 18-27. DOI:https://doi.org/10.14505//jasf.v11.1(21).03
[12] Jackson, E.A. 2020. Informal Employment. In: Leal Filho W., Azul A., Brandli L., Özuyar P., Wall T. (eds) Decent Work and Economic Growth. Encyclopedia of the UN Sustainable Development Goals. Springer, Cham. DOI: https://doi.org/10.1007/978-3-319-71058-7_15-1
[13] Jackson, E.A. 2018. Comparison between Static and Dynamic Forecast in Autoregressive Integrated Moving Average for Seasonally Adjusted Headline Consumer Price Index. Revista Economica, 70(1): 53 – 65.
[14] Jackson, E.A. 2021. Forecasting COVID-19 daily contraction in Sierra Leone with implications for Policy Formulation. Journal of Economic Policy Research, 8(1): 1-16. DOI:https://doi.org/10.26650/JEPR795665
[15] Jackson, E.A. and Jabbie, M. 2019. Understanding Market Failure in the Developing Country Context. In, Walter L. Filho (eds), Decent Work and Economic Growth: Encyclopedia of Sustainable Development Goals, Springer Nature Publisher. DOI: https://doi.org/10.1007/978-3-319-71058-7_44-1
[16] Jackson, E.A. and Jabbie, M. 2020. Twin Deficits hypothesis as an indication of government failure in Sierra Leone: An empirical investigation (2007 to 2018). Journal of Economic Policy Researches, 7(1): 43-68. DOI: https://doi.org/10.26650/JEPR658440
[17] Jackson, E.A. and Tamuke, E. 2018. Probability Forecast Using Fan Chart Analysis: A Case of the Sierra Leone Economy. Journal of Advanced Studies in Finance, 1(17): 34 – 44. DOI:https://doi.org/10.14505//jasf.v9.1(17).04
[18] Jackson, E.A. and Tamuke, E. 2021. The Science and Art of Communicating Fan Chart Uncertainty: The case of Inflation Outcome in Sierra Leone. Journal of Advanced Studies in Finance, 1(23): 28.39.
[19] Jackson, E.A., Barrie, M.S., and Johnson, L. 2021. Impact of Exchange Rate and Inflation on Commercial Banks’ Performance in Sierra Leone. Journal of Smart Economic Growth, 6(3): 67-95.
[20] Jackson, E.A., Sillah, A. and Tamuke, E. 2018. Modelling Monthly Headline Consumer Price Index (HCPI) through Seasonal Box-Jenkins Methodology. International Journal of Sciences, 7(1): 51-56. DOI: 10.18483/ijSci.1507
[21] 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 Journal, 12(10).
[22] Jackson, E.A. and Tamuke, E. 2020. Predicting Disaggregated Tourist Arrivals in Sierra Leone using ARIMA Model. Theoretical and Practical Research in the Economic Fields, 2(20): 132-142. DOI: https://doi.org/10.14505/tpref.v10.2(20).06
[23] Juhro S.M., and Rummel O. 2022. Monetary Policy Framework. In: Warjiyo P., Juhro S.M. (eds) Central Bank Policy Mix: Issues, Challenges, and Policy Responses. Springer, Singapore. DOI: https://doi.org/10.1007/978-981-16-6827-2_3
[24] Labonte, M. 2009. Monetary Aggregates: Their Use in the Conduct of Monetary Policy. Retrieved March 2, 2022, from https://www.everycrsreport.com/files/20090316_RL31416_1ec3b5570791b8b3292aee43c5f6a910d0580fe4.pdf
[25] Pankratz, A. 1983. Forecasting with Univariate Box - Jenkins Models: Concepts and Cases. USA: John Wiley & Sons, Inc.
[26] Shaibu, I., and Osamwonyi, I.O. 2020. A Univariate Analysis of Money Demand in Nigeria International Journal of Management Studies and Social Science Research, 2(2): 84-98. Retrieved February 27, 2022, from https://www.ijmsssr.org/paper/IJMSSSR00117.pdf
[27] Slutsky E. E. 1927. Slozhenie sluchainykh prichin, kak istochnik tsiklicheskikh protsessov. Voprosy kon yunktury, 3(1927): 34–64.
[28] Stock, J.H. and Watson, M.W. 2003. Introduction to Econometrics. Amsterdam: Addison Wesley.
[29] Wold, H. 1938. A study in the analysis of stationary time series. Doctoral Thesis, Uppsala: Almqvist & Wiksell.
[30] Bank of Sierra Leone. 2019. The Bank of Sierra Leone Act 2019. Retrieved March 2, 2022, from http://www.bsl.gov.sl/Bank%20of%20Sierra%20Leone%20Ascent%202019.pdf
How to Cite
JACKSON, Emerson Abraham; VANDY, Patricia Sarah. A Model Approach to Understanding Monetary Aggregates Growth in Sierra Leone and Implications for Policy Formulation. Theoretical and Practical Research in the Economic Fields, [S.l.], v. 13, n. 1, p. 5 - 18, june 2022. ISSN 2068-7710. Available at: <https://journals.aserspublishing.eu/tpref/article/view/7080>. Date accessed: 04 dec. 2022. doi: https://doi.org/10.14505/tpref.v13.1(25).01.