IDEAS home Printed from https://ideas.repec.org/a/ris/ilojep/0075.html
   My bibliography  Save this article

Exchange Rate, External Reserves And Current Account Balance Nexus In Oil-Dependent Countries: A Toda-Yamomotobased Panel Vector Autoregressive (Pvar) Approach

Author

Listed:

Abstract

The international monetary authorities have been consistently advising oil-dependent countries to change their exchange rate policy from a fixed to a floating exchange rate regime. While some of these countries including Nigeria have announced their adoption of a free-floating exchange rate system, evidence shows that the majority are suffering from “fear of floating”, hence operating an abridged exchange rate system. This study employs the Toda-Yamomoto-based Panel Vector Autoregressive (PVAR) model to use the causality approach to determine the exchange rate system that best explains the de facto exchange rate policy system operating in these countries. This is explained by the dynamic causality between exchange rates and foreign reserves. The dynamic causality between the exchange rate and current account balance also explains the potential effect of devaluation to improve the external trade balance, which implies the Jcurve and Marshall Lerner condition. The results show that there is no significant causality from foreign reserves and trade balance to the exchange rate, suggesting that oil-dependent countries are more aligned to a fixed exchange rate regime than a floating exchange rate regime. We also find significant negative causality from the exchange rate to foreign reserves, while foreign reserves have a positive causal effect on the current account balance. This implies that the expected devaluation gains that may be prompting oil-dependent countries to stick to fixed exchange rate regimes are not there, as currency devaluation tends to worsen trade performance and foreign reserves rather than improve them. While oil-dependent countries are not benefiting much from a fixed exchange rate system, it is recommended that appropriate policy to boost private sector generation of foreign exchange should be put in place before the adoption of a fullfledged floating exchange rate system.

Suggested Citation

  • F. Oloko, Tirimisiyu & O. Ogunsiji, Muritala, 2024. "Exchange Rate, External Reserves And Current Account Balance Nexus In Oil-Dependent Countries: A Toda-Yamomotobased Panel Vector Autoregressive (Pvar) Approach," Ilorin Journal of Economic Policy, Department of Economics, University of Ilorin, vol. 11(1), pages 1-17, June.
    • Handle: RePEc:ris:ilojep:0075
    as

    Download full text from publisher

    File URL: https://ijep.org/issues/volume11issue112024/v1/Oloko2024.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jeffry Frieden & David Leblang & Neven Valev, 2010. "The political economy of exchange rate regimes in transition economies," The Review of International Organizations, Springer, vol. 5(1), pages 1-25, March.
    2. Sebastian Edwards, 1996. "The Determinants of the Choice between Fixed and Flexible Exchange-Rate Regimes," NBER Working Papers 5756, National Bureau of Economic Research, Inc.
    3. Carmen M. Reinhart & Kenneth S. Rogoff, 2004. "The Modern History of Exchange Rate Arrangements: A Reinterpretation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 1-48.
    4. Liaqat, Zara, 2019. "Does government debt crowd out capital formation? A dynamic approach using panel VAR," Economics Letters, Elsevier, vol. 178(C), pages 86-90.
    5. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    6. Cesar M. Rodriguez, 2016. "Economic and political determinants of exchange rate regimes: The case of Latin America," International Economics, CEPII research center, issue 147, pages 1-26.
    7. Aizenman, Joshua & Hutchison, Michael M., 2012. "Exchange market pressure and absorption by international reserves: Emerging markets and fear of reserve loss during the 2008–2009 crisis," Journal of International Money and Finance, Elsevier, vol. 31(5), pages 1076-1091.
    8. Michael R. M. Abrigo & Inessa Love, 2016. "Estimation of panel vector autoregression in Stata," Stata Journal, StataCorp LP, vol. 16(3), pages 778-804, September.
    9. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    10. Brad Setser, 2007. "The Case for Exchange Rate Flexibility in Oil-Exporting Economies," Policy Briefs PB07-8, Peterson Institute for International Economics.
    11. Yousefi, Ayoub & Wirjanto, Tony S., 2003. "Exchange rate of the US dollar and the J curve: the case of oil exporting countries," Energy Economics, Elsevier, vol. 25(6), pages 741-765, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qureshi, Irfan & Liaqat, Zara, 2020. "The long-term consequences of external debt: Revisiting the evidence and inspecting the mechanism using panel VARs," Journal of Macroeconomics, Elsevier, vol. 63(C).
    2. Najia Maraoui & Thouraya Hadj Amor & Islem Khefacha & Christophe Rault, 2021. "How Economic, Political, and Institutional Factors Influence the Choice of Exchange Rate Regimes? New Evidence from Selected Countries of the MENA Region," Working Papers 1498, Economic Research Forum, revised 20 Oct 2021.
    3. Rodriguez, Cesar M., 2016. "Economic and political determinants of exchange rate regimes: The case of Latin America," International Economics, Elsevier, vol. 147(C), pages 1-26.
    4. Kacou Yves Thierry Kacou & Yacouba Kassouri & Andrew Adewale Alola & Mehmet Altuntaş, 2022. "Examining the sustainable development approach of migrants' remittances and financial development in sub‐Saharan African countries," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 804-816, October.
    5. Almukhtar Saif Al-Abri, 2014. "Labor Market Heterogeneity and Optimal Exchange Rate Regime in Resource-Rich MENA Countries," Working Papers 844, Economic Research Forum, revised Oct 2014.
    6. Wang, Jing & Rickman, Dan S. & Yu, Yihua, 2022. "Dynamics between global value chain participation, CO2 emissions, and economic growth: Evidence from a panel vector autoregression model," Energy Economics, Elsevier, vol. 109(C).
    7. Kazemzadeh, Emad & Fuinhas, José Alberto & Koengkan, Matheus & Shadmehri, Mohammad Taher Ahmadi, 2023. "Relationship between the share of renewable electricity consumption, economic complexity, financial development, and oil prices: A two-step club convergence and PVAR model approach," International Economics, Elsevier, vol. 173(C), pages 260-275.
    8. Hou, Xiaohui & Li, Shuo & Li, Wanli & Wang, Qing, 2018. "Bank diversification and liquidity creation: Panel Granger-causality evidence from China," Economic Modelling, Elsevier, vol. 71(C), pages 87-98.
    9. Qureshi, Fiza & Khan, Habib Hussain & Rehman, Ijaz Ur & Ghafoor, Abdul & Qureshi, Saba, 2019. "Mutual fund flows and investors’ expectations in BRICS economies: Implications for international diversification," Economic Systems, Elsevier, vol. 43(1), pages 130-150.
    10. Fernández-Albertos, José, 2012. "Exchange rate regime preferences of the international sector. Firm-level evidence," Economics Letters, Elsevier, vol. 116(1), pages 26-30.
    11. Ashima Goyal & Akhilesh K. Verma & Rajeswari Sengupta, 2022. "External shocks, cross-border flows and macroeconomic risks in emerging market economies," Empirical Economics, Springer, vol. 62(5), pages 2111-2148, May.
    12. Antonia López-Villavicencio & Marc Pourroy, 2017. "IT Countries: A Breed Apart? the case of Exchange Rate Pass-Through," Working Papers 1728, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    13. Dobronravova, Elizaveta (Добронравова, Елизавета), 2018. "Monetary Policy Peculiarities in Countries with Natural Resources, with Significant Changes in Terms of Trade [Особенности Монетарной Политики В Странах, Наделенных Природными Ресурсами, При Значит," Working Papers 031811, Russian Presidential Academy of National Economy and Public Administration.
    14. Levy Yeyati, Eduardo & Sturzenegger, Federico & Reggio, Iliana, 2010. "On the endogeneity of exchange rate regimes," European Economic Review, Elsevier, vol. 54(5), pages 659-677, July.
    15. Markiewicz, Agnieszka, 2006. "Choice of exchange rate regime in transition economies: An empirical analysis," Journal of Comparative Economics, Elsevier, vol. 34(3), pages 484-498, September.
    16. Dimitrios Karamanis, 2022. "Defence partnerships, military expenditure, investment, and economic growth: an analysis in PESCO countries," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 173, Hellenic Observatory, LSE.
    17. MAÏ ASSAN CHEDI, Maman, 2022. "Does Defence Expenditure Affect Education and Health expenditures in Saharan Africa?," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.
    18. Rita Fradique Lourenço, 2004. "Exchange Rate Regimes: A Global Picture Since the Emerging Market Crises in the Mid 1990s," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    19. Kumeka, Terver Theophilus & Uzoma-Nwosu, Damian Chidozie & David-Wayas, Maria Onyinye, 2022. "The effects of COVID-19 on the interrelationship among oil prices, stock prices and exchange rates in selected oil exporting economies," Resources Policy, Elsevier, vol. 77(C).
    20. Ralph Setzer, 2005. "The Political Economy of Fixed Exchange Rates: A Survival Analysis," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 265/2005, Department of Economics, University of Hohenheim, Germany.

    More about this item

    Keywords

    Exchange rate regime; Oil-dependent countries; Panel VAR; Marshall Lerner condition;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:ilojep:0075. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Daniel Akanbi (email available below). General contact details of provider: https://edirc.repec.org/data/deilong.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.