IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/83324.html
   My bibliography  Save this paper

Exchange Rate Behaviour in the West Africa Monetary Zone: A GARCH Approach

Author

Listed:
  • Oshinloye, Micheal
  • Onanuga, Olaronke
  • Onanuga, Abayomi

Abstract

This study employs Generalized Autoregressive Conditional Heteroscedasticity (GARCH) to explore the level of exchange rate volatility in West African Monetary Zone for the period 1980-2014. Our empirical findings reveal that the Gambian dalasi experiences the least volatile official exchange rate while the Liberia dollar is the most volatile in the Zone. There is the need for the government of Gambia and Nigeria to control overshooting dynamics experienced by dalasi and naira. All the countries should exercise monetary and fiscal measures on time to put their exchange rate volatility under check.

Suggested Citation

  • Oshinloye, Micheal & Onanuga, Olaronke & Onanuga, Abayomi, 2015. "Exchange Rate Behaviour in the West Africa Monetary Zone: A GARCH Approach," MPRA Paper 83324, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:83324
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/83324/1/MPRA_paper_83324.PDF
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brooks,Chris, 2008. "RATS Handbook to Accompany Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9780521896955, September.
    2. Stockman, Alan C, 1980. "A Theory of Exchange Rate Determination," Journal of Political Economy, University of Chicago Press, vol. 88(4), pages 673-698, August.
    3. Deniz Erdemlioglu & Sébastien Laurent & Christopher J. Neely, 2013. "Econometric modeling of exchange rate volatility and jumps," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 16, pages 373-427, Edward Elgar Publishing.
    4. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    5. Dornbusch, Rudiger, 1976. "Expectations and Exchange Rate Dynamics," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1161-1176, December.
    6. Eleanor Doyle, 2001. "Exchange rate volatility and Irish-UK trade, 1979-1992," Applied Economics, Taylor & Francis Journals, vol. 33(2), pages 249-265.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. A. Adenekan & G. Sanni & A. Itodo, 2019. "Investigating the Impact of Exchange Rate Volatility on Naira Exchange Rate in Nigeria," Economic and Financial Review, Central Bank of Nigeria, vol. 57(3), September.

    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. John T. Cuddington & Hong Liang, 1998. "Commodity Price Volatility Across Exchange Rate Regimes," International Finance 9802003, University Library of Munich, Germany, revised 11 May 1998.
    2. Prelorentzos, Arsenios-Georgios N. & Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Xidonas, Panos & Goutte, Stephane & Thomakos, Dimitrios D., 2024. "Introducing the GVAR-GARCH model: Evidence from financial markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    3. Goudarzi, Mostafa & Khanarinejad, Komeil & Ardakani, Zahra, 2012. "Investigation the Role of Exchange Rate Volatility on Iran's Agricultural Exports (Case Study: Date, Pistachio and Saffron)," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 4(1), pages 1-7, March.
    4. Christopher J. Neely & Lucio Sarno, 2002. "How well do monetary fundamentals forecast exchange rates?," Review, Federal Reserve Bank of St. Louis, vol. 84(Sep), pages 51-74.
    5. Edward C. H. Tang, 2021. "Speculate a lot," Pacific Economic Review, Wiley Blackwell, vol. 26(1), pages 91-109, February.
    6. Yin-Wong Cheung & Menzie D. Chinn & Antonio I. Garcia Pascual, 2003. "What Do We Know about Recent Exchange Rate Models? In-Sample Fit and Out-of-Sample Performance Evaluated," CESifo Working Paper Series 902, CESifo.
    7. Kai-Li Wang & Christopher Fawson & Christopher B. Barrett & James B. McDonald, 2001. "A flexible parametric GARCH model with an application to exchange rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(4), pages 521-536.
    8. Justice Matarutse, 2014. "Volatility characteristics of stocks underlying Exchange Traded Funds in South Africa," Journal of Economics and Behavioral Studies, AMH International, vol. 6(10), pages 829-839.
    9. Nicholas Apergis & Umit Bulut & Gulbahar Ucler & Serife Ozsahin, 2021. "The causal linkage between inflation and inflation uncertainty under structural breaks: Evidence from Turkey," Manchester School, University of Manchester, vol. 89(3), pages 259-275, June.
    10. Roman Frydman & Michael D. Goldberg & Søren Johansen & Katarina Juselius, 2008. "A Resolution of the Purchasing Power Parity Puzzle: Imperfect Knowledge and Long Swings," Discussion Papers 08-31, University of Copenhagen. Department of Economics.
    11. Kollman, R., 1996. "The Exchange Rate in a Dynamic-Optimizing Current Account Model with Nominal Rigidities: a Quantitative Investigation," Cahiers de recherche 9614, Universite de Montreal, Departement de sciences economiques.
    12. Cheng, Fuzhi & Orden, David, 2005. "Exchange rate misalignment and its effects on agricultural producer support estimates," MTID discussion papers 81, International Food Policy Research Institute (IFPRI).
    13. Myers, Robert J., 1994. "Time Series Econometrics and Commodity Price Analysis: A Review," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 62(02), pages 1-15, August.
    14. Kempa, Bernd, 2005. "An oversimplified inquiry into the sources of exchange rate variability," Economic Modelling, Elsevier, vol. 22(3), pages 439-458, May.
    15. Ioannis N. Kallianiotis & Karen Bianchi & Augustine C. Arize & John Malindretos & Ikechukwu Ndu, 2020. "Financial Assets, Expected Return and Risk, Speculation, Uncertainty, and Exchange Rate Determination," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 3-30.
    16. Ali CELÝK, 2021. "Volatility of BIST 100 Returns After 2020, Calendar Anomalies and COVID-19 Effect," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 15(1), pages 61-81.
    17. Samih Antoine Azar, 2013. "Mean Aversion in and Persistence of Shocks to the US Dollar: Evidence from Nine Foreign Currencies," International Journal of Economics and Financial Issues, Econjournals, vol. 3(3), pages 723-733.
    18. Hodrick, Robert J., 1989. "Risk, uncertainty, and exchange rates," Journal of Monetary Economics, Elsevier, vol. 23(3), pages 433-459, May.
    19. Das, Suman & Roy, Saikat Sinha, 2023. "Following the leaders? A study of co-movement and volatility spillover in BRICS currencies," Economic Systems, Elsevier, vol. 47(2).
    20. Lee E. Ohanian & Alan C. Stockman, 1997. "Short-run independence of monetary policy under pegged exchange rates and effects of money on exchange rates and interest rates," Proceedings, Federal Reserve Bank of Cleveland, pages 783-814.

    More about this item

    Keywords

    Exchange rate Volatility; GARCH; West African Monetary Zone;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • F02 - International Economics - - General - - - International Economic Order and Integration
    • F31 - International Economics - - International Finance - - - Foreign Exchange

    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:pra:mprapa:83324. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.