Application of Bayesian Vector Autoregressive Model to the Analysis of J-curve in ECOWAS

Authors

  • Ebenezer Olubiyi Federal University of Agriculture Abeokuta
  • Oluyeni Ologunwa Federal University of Technology, Akure
  • Toluwalope Ogunro Lead City University

Keywords:

Current account adjustment, international integration, forecasting and simulation

Abstract

Objectives: This study examines the existence and pattern of J-curve in ECOWAS region. Prior Work: From the theoretical standpoint, exchange rate devaluation leads to current account deterioration in the short run but leads to current account improvement in the long run. Empirical evidences do not unanimously support this assertion. Approach: A Bayesian vector autoregressive (BVAR) is utilized to forecast the pattern J-curve in 5 ECOWAS for data spanning 1990 to 2022. Results: J-curve does not exist in some countries. Specifically, Gambia experienced S-curve after 11 years while Togo experience trade surplus after 13 years. In Nigeria, J-curve exists in the short run but turned S-curve towards the long run. J-curve breaks down in Ghana and Cote d’Ivoire.  International relative price influences the pattern of the J-curve, particularly in Francophone countries. Implication: Employing BVAR provides accurate, reliable and dependable results and researchers can benefit from utilizing it. The study also indicates that macroeconomic policy coordination in ECOWAS may not produce expected results for each country member. Value: This study if the first to employ BVAR in the analysis of J-curve in ECOWAS.

Author Biography

Toluwalope Ogunro, Lead City University

Department of Economics

References

Adeniyi, O., Omisakin, O., & Oyinlola, M. (2011). Exchange rate and trade balance in West African Monetary Zone: Is there a J-curve? The International Journal of Applied Economics and Finance, 5(3), 167 – 176.

Arize, A. Malindretos, C., & Igwe, E. (2017). Do exchange rate changes improve the trade balance? An asymmetric nonlinear cointegration approach. International Review of Economics and Finance, 49, 313–326.

Arming, L. Sunday, R., & Pacific, Y. (2015). Exchange rate and trade balance of Ghana: testing the validity of Marshal-Lerner condition. International Journal of Development and Emerging Economies, 3(2), 38-52.

Bahmani-Oskooee, M. (2006). Cointegration approach to estimating the long run trade elasticities in LDCs. International Economic Journal, 12(3), 79-96.

Bahmani-Oskooee, M., & Arize, A. (2019). On the asymmetric effect of exchange rate volatility on trade flows: evidence from Africa. Emerging Markets Finance and Trade, 1-27.

Bahmani-Oskooee, M., & Gelan, A. (2012). Is there J-curve effect in Africa? International Review of Applied Economics, 26(1), 71-81

Bawa, S., Abdul, R., Sami, Z., & Dauda, M. (2018). Testing the J-curve phenomenon in Nigeria: an ARDL bounds testing approach. West African Journal of Monetary and Economic Integration, 18(1), 47-71.

Bhattarai, K., & Armah, M. (2013). The effects of exchange rate on the trade balance in Ghana: evidence from cointegration analysis. African Journal of Business Management, 7(14), 1126-1143.

Bickerdike, C. (1906). The theory of incipient taxes, Economic Journal, 16, 529-535.

Bickerdike, C. (1920). The instability of foreign exchange. The Economic Journal, 30, 118–122.

Black, J., Hashimzade, N., & Myles, G. (2017). A dictionary of economics (5th ed.). Oxford, United Kingdom: Oxford University Press.

Doan, T. Litterman, R., & Sims, C. (1984). Forecasting and conditional projection using realistic prior distributions. Econometric Reviews, 3(1), 1-100.

Duru, I., Eze, M., Saleh, A., & Uzoma, K. (2022). Exchange rate and trade balance in Nigeria: testing for the validity of J-curve phenomenon and Marshall-Lerner condition. Asian Themes in Social Sciences Research, 6(1), 1-11.

Eke, I., Eke, F., & Obafemi, F. (2015). Exchange rate behavior and trade balance in Nigeria: an empirical investigation. International Journal of Humanities and Social Sciences 5(8), 71-78.

Gupta-Kapoor, A. & Ramakrishnan, U. (1999). Is there a J-curve? A new estimation for Japan. International Economic Journal 13(4), 71-79.

Hsing, Y. (2010). Test of the Marshall–Lerner condition for eight selected Asian countries and policy implications. Global Economic Review, 39(1), 91-98.

Jackson, E., Tamuke, E., & Silah, A. (2021). Is there a J-curve effect in Sierra Leone? An empirical analysis with VECM. Modern Economy 12, 1486-1518.

Keho, Y. (2021). Real exchange rate dynamics and trade balance in WAEMU countries: evidence from panel NARDL. Journal of Economics and Financial Analysis, 5(2),1-22.

Kwanne-Akosah, N. & Omane-Adjepong, M. (2017). Exchange rate and external trade flows: empirical evidence of J-curve effect in Ghana. MPRA working paper no. 6640.

Lawal, I., Salisu, A., Asaleye, A., Oseni, E., Lawal-Adedoyin, D., Omoju, E., DickTonye, A., Ogunwole, E., & Babajide, A. (2022). Economic growth, exchange rate and remittances nexus: evidence from Africa. Journal of Risk and Financial Management, 15(1), 1-13.

Litterman, R. (1983). A Random Walk, Markov model for the distribution of time series. Journal of Business and Economic Statistics, 1(2), 169–173.

Litterman, R. (1986). Forecasting with Bayesian vector autoregressions -five years of experience. Journal of Business & Economic Statistics, 4(1), 25-38.

Mahmood, H., Alkhateeb, T., & Ahmad, N. (2017). Impact of devaluation on foreign trade in Saudi-Arabia, MPRA working paper no. 109452.

Marimon, R., & Scott, A. (2001). Computational Methods for the Study of Dynamic Economies. Oxford, Oxford University Press.

Migliardo, C. (2010). Monetary policy transmission in Italy: a BVAR analysis with sign restriction. AUCO Czech Economic Review, 4, 139-167.

Mwito, M. Mkenda, B., & Luvanda, E. (2021). The asymmetric J-curve phenomenon: Kenya versus her trading partners. Central Bank Review, 21, 25-34.

Nusair, S. (2016). The J-curve phenomenon in European transition Economies: a nonlinear ARDL approach. International Review of Applied Economics, 31(1), 1-27.

Olubiyi, E., Posu, S., & Dada, M. (forthcoming). J-curve and Marshall-Lerner condition in ECOWAS: how important is asymmetric exchanger rate? Accepted for publication in Portuguese Economic Journal.

Olubiyi, E., Kolade, F., & Dairo, D. (2019). Effects of Exchange rate movements on selected agricultural products in Emerging African countries.

Olubiyi, E., Posu, M., & Ogunnusi, T. (2023). Does Intra-African Migration Matter for Intra-African Trade? EuroEconomica, 42(1), 165-182.

Olugbon, B., Omotosho, O., & Babalola, B. (2017). Devaluation and trade balance in Nigeria: a test of Marshall-Lerner condition. European Journal of Business and Management, 9(4), 1-10.

Onakoya, A., Johnson, S., & Ajibola, O. (2019). Exchange rate and trade balance: the case for J-curve effect in Nigeria. KIU Journal of Social Sciences, 4(4), 47-63.

Ouliaris, S., Pagan, A., & Restrepo, J. (2016). Quantitative macroeconomic modeling with structural vector autoregressions–an Eviews implementation. Washington DC: IMF Institute for Capacity Development.

Oyetayo, J., Olaifa, F., & Olubiyi, E. (2024). Analysis of Trade effects of parallel exchange rate in Nigeria. Asian Journal of Economics Business and Accounting, 24(6), 4-25.

Rocha, S., Magalhães, M., & Brilhante, A. (2024). A BVAR note on the J-curve and the Mashall-Lerner condition for Brazil. International Journal of Economics and Finance, 16(3):31-41.

Shuaib, M., & Isah, A. (2020). Exchange rate dynamic and trade balance in selected African countries. Journal of African Trade, 7(1-2), 69-83.

Siklar, I., & Kecili, A. (2018) Estimation of the Marshall-Lerner and J-curve dynamic for Turkey. International Journal of Economic and Finance, 4(5), 125-130.

Sims, C., & Uhlig, H. (1991). Understanding unitrooters: A helicopter tour. Econometrica: Journal of the Econometric Society,1591-1599.

Spulbar, C., Niţoi, M., & Stanciu, C. (2012). Monetary policy analysis in Romania: a Bayesian VAR approach. African Journal of Business and Management, 6(36), 9957-9968.

Timothy, O., Nwuju, K., Da-Ariboko, A., & Wegbom, A. (2023). Application of Bayesian vector autoregressive models in the analysis of qasi money and money supply: a case study of Nigeria. Asian Jounal of Probablity and Statistics, 25(3), 108-117.

World Bank (2023). World Development Indicators, World Bank Group, Washington DC.

Downloads

Published

2025-05-31

How to Cite

Olubiyi, E., Ologunwa, O. . ., & Ogunro, T. (2025). Application of Bayesian Vector Autoregressive Model to the Analysis of J-curve in ECOWAS. EuroEconomica, 44(1), 118–146. Retrieved from https://dj.univ-danubius.ro/index.php/EE/article/view/3311

Issue

Section

Articles

Most read articles by the same author(s)