TIMING OPTIMAL DES PAIEMENTS INTERNATIONAUX SELON LES MARCHÉS ASIATIQUE, EUROPÉEN ET NORD-AMÉRICAIN : CAS DE LA RD CONGO / OPTIMAL TIMING OF INTERNATIONAL PAYMENTS ACROSS ASIAN, EUROPEAN AND NORTH AMERICAN MARKETS: THE CASE OF DR CONGO
Abstract
Cette étude analyse les variations des taux de change entre les sessions de marché (Asie, Europe, Amérique) pour optimiser le timing des paiements internationaux, avec une perspective particulière sur la République Démocratique du Congo, dont l'économie dépend fortement des devises étrangères pour ses activités quotidiennes. Cinq paires de devises sont examinées (2023-2025), en accordant une attention spéciale au CDF/USD comme cas d'étude représentatif des défis uniques auxquels font face les économies émergentes Africaines. Notre méthodologie combine analyse statistique, modélisation GARCH et apprentissage automatique (Gradient Boosting) pour identifier les patterns temporels exploitables. Les résultats révèlent des inefficiences systématiques, avec des économies potentielles atteignant 1,5% sur les transactions internationales. La prévisibilité varie considérablement (R²=0,75 pour l'EUR/USD contre R²=0,34-0,40 pour le CDF/USD), reflétant les différentes dynamiques de marché. Cette recherche offre aux entreprises Congolaises, institutions financières et à la Banque Centrale du Congo un cadre pratique pour optimiser leurs opérations de change, réduire les coûts de transaction et améliorer la gestion des réserves, contribuant ainsi à renforcer la stabilité économique nationale dans un contexte de forte dépendance aux devises étrangères.
JEL: F31, G15, D53, O55, E58
Article visualizations:
Keywords
Full Text:
PDFReferences
Adegbite, A. A., & Ayadi, O. F. (2010). Market microstructure and intra-day volatility patterns in African currency markets. African Journal of Economic Policy, 17(1), 1–22.
Alagidede, P., & Ibrahim, M. (2017). "On the causes and effects of exchange rate volatility on economic growth: Evidence from Africa." Journal of African Economies, 26(5), 542-576.
Andersen, T. G., & Bollerslev, T. (1997). Intraday periodicity and volatility persistence in financial markets. Journal of Empirical Finance, 4(2-3), 115–158. https://doi.org/10.1016/S0927-5398(97)00004-2
Asongu, S., Nwachukwu, J. et Tchamyou, V. (2018) Effects of asymmetric information on market timing in the mutual fund industry. International Journal of Managerial Finance, 14(5), pp. 542-557.
Berger, D., Chaboud, A., Chernenko, S., Howorka, E. et Wright, J. (2008) Order flow and exchange rate dynamics in electronic brokerage system data. Journal of International Economics, 75(1), pp. 93-109.
BIS (2022) Triennial Central Bank Survey of Foreign Exchange and Over-the-counter Derivatives Markets in 2022. Basel: Bank for International Settlements.
Breedon, F. et Ranaldo, A. (2013) Intraday patterns in FX returns and order flow. Journal of Money, Credit and Banking, 45(5), pp. 953-965.
Dacorogna, M. M., Gençay, R., Müller, U. A., Pictet, O. V., & Olsen, R. B. (2001). An Introduction to High-Frequency Finance. Academic Press.
Fama, E. (1970) 'Efficient capital markets: A review of theory and empirical work', The Journal of Finance, 25(2), pp. 383-417.
Gençay, R., Selçuk, F., & Whitcher, B. (2001). An Introduction to Wavelets and Other Filtering Methods in Finance and Economics. Academic Press.
Kodongo, O. et Ojah, K. (2012). The dynamic relation between foreign exchange rates and international portfolio flows: Evidence from Africa's capital markets, International Review of Economics & Finance, 24, pp. 71-87.
Lyons, R. K. (2001). The Microstructure Approach to Exchange Rates. MIT Press.
Lo, A. (2004) 'The adaptive markets hypothesis: Market efficiency from an evolutionary perspective', Journal of Portfolio Management, 30(5), pp. 15-29.
Melvin, M., & Yin, X. (2000). Public information arrival, exchange rate volatility, and quote frequency. The Economic Journal, 110(465), 644–661. https://doi.org/10.1111/1468-0297.00545
Melvin, M. et Prins, J. (2015) Equity hedging and exchange rates at the London 4 p.m. fix, Journal of Financial Markets, 22, pp. 50-72.
Muteba Mwamba, J.W. (2011). Modelling stock price behaviour: The Kernel approach. Journal of Economics and International Finance Vol. 3(7), pp. 418-423, July 2011 .Available online at http://www.academicjournals.org/JEIF ISSN 2006-9812 ©2011 Academic Journals
Nelson, D. (1991) Conditional heteroskedasticity in asset returns: A new approach, Econometrica, 59(2), pp. 347-370.
Okafor, F. O., Piesse, J., & Webster, A. (2017). Exchange rate volatility and firm performance in emerging markets: Evidence from Nigeria. International Journal of Emerging Markets, 12(1), 112-130.
Tagoe, N., Nyarko, E., & Anarfi, J. K. (2015). Foreign exchange risk management practices among Ghanaian firms. The Journal of Risk Finance, 16(4), 350–365. https://doi.org/10.1108/JRF-11-2014-0151
Zhang, Y., Aggarwal, C. C., & Qi, G.-J. (2017). Stock Price Prediction via Discovering Multi-Frequency Trading Patterns. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2141–2149. https://doi.org/10.1145/3097983.3098126
DOI: http://dx.doi.org/10.46827/ejefr.v8i8.1939
Refbacks
- There are currently no refbacks.
Copyright (c) 2025 Edson Niyonsaba Sebigunda, John Weirstrass Muteba Mwamba

This work is licensed under a Creative Commons Attribution 4.0 International License.
The research works published in this journal are free to be accessed. They can be shared (copied and redistributed in any medium or format) and\or adapted (remixed, transformed, and built upon the material for any purpose, commercially and\or not commercially) under the following terms: attribution (appropriate credit must be given indicating original authors, research work name and publication name mentioning if changes were made) and without adding additional restrictions (without restricting others from doing anything the actual license permits). Authors retain the full copyright of their published research works and cannot revoke these freedoms as long as the license terms are followed.
Copyright © 2016 - 2026. European Journal of Economic and Financial Research (ISSN 2501-9430) is a registered trademark of Open Access Publishing Group. All rights reserved.
This journal is a serial publication uniquely identified by an International Standard Serial Number (ISSN) serial number certificate issued by Romanian National Library. All the research works are uniquely identified by a CrossRef DOI digital object identifier supplied by indexing and repository platforms. All the research works published on this journal are meeting the Open Access Publishing requirements and standards formulated by Budapest Open Access Initiative (2002), the Bethesda Statement on Open Access Publishing (2003) and Berlin Declaration on Open Access to Knowledge in the Sciences and Humanities (2003) and can be freely accessed, shared, modified, distributed and used in educational, commercial and non-commercial purposes under a Creative Commons Attribution 4.0 International License. Copyrights of the published research works are retained by authors.