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

Auteur/ices

  • Edson Niyonsaba Sebigunda La Haute École de Commerce de Kinshasa, République Démocratique du Congo 2University of Johannesburg, School of Economics, Johannesburg, South Africa
  • John Weirstrass Muteba Mwamba La Haute École de Commerce de Kinshasa, République Démocratique du Congo University of Johannesburg, School of Economics, Johannesburg, South Africa York University, School of Health Policy and Management, Toronto, Canada

DOI :

https://doi.org/10.46827/ejefr.v8i8.1939

Mots-clés :

marchés des changes, microstructure du marché, arbitrage temporel, Franc Congolais, économies émergentes

Résumé

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

 

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Biographies des auteurs

  • Edson Niyonsaba Sebigunda, La Haute École de Commerce de Kinshasa, République Démocratique du Congo 2University of Johannesburg, School of Economics, Johannesburg, South Africa

    Dr. Edson Niyonsaba Sebigunda is the Director General of La Haute École de Commerce de Kinshasa (HEC-KIN), Democratic Republic of Congo. He holds a PhD in Management Science from Yaoundé II University (2011-2014). He is a senior expert in project management and impact evaluation, economist-financial researcher, and manager of socio-demographic surveys. His research interests include foreign exchange markets, emerging market economics, and financial risk management.

    ResearchGate: https://www.researchgate.net/profile/Niyonsaba-Edson

  • John Weirstrass Muteba Mwamba, La Haute École de Commerce de Kinshasa, République Démocratique du Congo University of Johannesburg, School of Economics, Johannesburg, South Africa York University, School of Health Policy and Management, Toronto, Canada

    Dr. John Weirstrass Muteba Mwamba is an Associate Professor in Financial Economics at the University of Johannesburg, South Africa, and at La Haute École de Commerce de Kinshasa (HEC-KIN), Democratic Republic of Congo. He is also a Research Associate at York University, School of Health Policy and Management, Canada. He holds a B.Sc. Honours degree in Mathematical Statistics and Computer Programming, a master's degree in Financial Economics, and a PhD in Financial Economics from the University of Johannesburg. He also holds a certificate in Decision Sciences from INSEAD Business School (Paris) and a Data Science diploma from McMaster University (Canada). His research focuses on Data Science, Text Modeling, Financial Statistics, and Decision Theory. He is the Founder of the Analytics Research Group and a member of the South African Economic Society.

    Institutional webpage: https://pure.uj.ac.za/en/persons/john-muteba-mwamba,   

    ORCID: https://orcid.org/0000-0002-8002-1156,

    ResearchGate: https://www.researchgate.net/profile/John-Weirstrass-Muteba-Mwamba

Références

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

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Publiée

2025-05-09

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