IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/22428.html
   My bibliography  Save this paper

The Impact of Central Bank's intervention in the foreign exchange market on the Exchange Rate: The case of Zambia (1995-2008)

Author

Listed:
  • Mwansa, Katwamba

Abstract

The central bank of Zambia called Bank of Zambia (BOZ) has, like many other central banks in both developing and developed economies, been from time to time intervening in the foreign exchange market by either purchasing or selling foreign exchange (mainly United States of America Dollars) to the market. Central banks have given a myriad of reasons for this particular behaviour. Chief among these and which is the focus of this paper is to smooth volatility or reverse a trend of the domestic currency in this case the kwacha. Despite central banks’ intervention activities in the foreign exchange markets, literature on the efficacy of these interventions in terms of impacting domestic currencies has remained controversial. While some strands of literature seem to suggest that such intervention has an impact on the currencies some literature disagrees. Early studies done in the 1980s suggest that intervention operations do not affect the exchange rate and if they do this effect is very small and only in the short run. More recent studies however, have found evidence of the effect on both the level and volatility of exchange rates. Further, recent studies focused on emerging market and developing countries have found strong evidence of the effect of central banks’ intervention operations in the foreign exchange market on exchange rates. This paper therefore examines the effect of the BOZ’s foreign currency market interventions on the level and volatility of the kwacha/ USD exchange rate between 1995 and 2008. In order to study the impact of interventions on the kwacha, the paper uses monthly data (both sales and purchases) on foreign exchange intervention and employs the GARCH (1, 1) and Exponential GARCH frameworks to model volatility. The results from GARCH model suggest that sales of foreign exchange in this case the $ causes the exchange rate to appreciate while purchases of the $ cause the exchange rate to depreciate. As for the impact on volatility, the GARCH (1, 1) model reveals that BOZ interventions increase volatility. Empirical results from the EGARCH model on the other hand suggest that both sales and purchases of $ cause the exchange rate to appreciate. The results on the impact of intervention on volatility are mixed though generally intervention appears to be increasing volatility.

Suggested Citation

  • Mwansa, Katwamba, 2009. "The Impact of Central Bank's intervention in the foreign exchange market on the Exchange Rate: The case of Zambia (1995-2008)," MPRA Paper 22428, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:22428
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/22428/1/MPRA_paper_22428.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kaminsky, Graciela L. & Lewis, Karen K., 1996. "Does foreign exchange intervention signal future monetary policy?," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 285-312, April.
    2. Rasmus Fatum & Michael M. Hutchison, 2003. "Is sterilised foreign exchange intervention effective after all? an event study approach," Economic Journal, Royal Economic Society, vol. 113(487), pages 390-411, April.
    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. Juan J. Echavarría & Luis F. Melo-Velandia & Mauricio Villamizar-Villegas, 2018. "The impact of pre-announced day-to-day interventions on the Colombian exchange rate," Empirical Economics, Springer, vol. 55(3), pages 1319-1336, November.
    2. Paolo Vitale, 2007. "An assessment of some open issues in the analysis of foreign exchange intervention," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 12(2), pages 155-170.
    3. Jaehun Chung & Yongmiao Hong, 2007. "Model-free evaluation of directional predictability in foreign exchange markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(5), pages 855-889.
    4. Pasquariello, Paolo, 2007. "Informative trading or just costly noise? An analysis of Central Bank interventions," Journal of Financial Markets, Elsevier, vol. 10(2), pages 107-143, May.
    5. Lukas Menkhoff, 2010. "High‐Frequency Analysis Of Foreign Exchange Interventions: What Do We Learn?," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 85-112, February.
    6. Christian Pierdzioch & Georg Stadtmann, 2004. "The Effectiveness of the Interventions of the Swiss National Bank - An Event-Study Analysis," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 140(II), pages 229-244, June.
    7. Ozge Akinci & Olcay Yucel Culha & Umit Ozlale & Gulbin Sahinbeyoğlu, 2006. "The effectiveness of foreign exchange interventions under a floating exchange rate regime for the Turkish economy: a post-crisis period analysis," Applied Economics, Taylor & Francis Journals, vol. 38(12), pages 1371-1388.
    8. Mauricio Villamizar-Villegas & David Perez-Reyna, 2017. "A Theoretical Approach To Sterilized Foreign Exchange Intervention," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 343-365, February.
    9. Smita Roy Trivedi, 2020. "The Moses effect: can central banks really guide foreign exchange markets?," Empirical Economics, Springer, vol. 58(6), pages 2837-2865, June.
    10. Fratzscher, Marcel, 2008. "Communication and exchange rate policy," Journal of Macroeconomics, Elsevier, vol. 30(4), pages 1651-1672, December.
    11. Jaehun Chung & Yongmiao Hong, 2013. "Model-Free Evaluation of Directional Predictability in Foreign Exchange," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    12. Ricardo T. Fernholz, 2015. "Exchange Rate Manipulation And Constructive Ambiguity," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1323-1348, November.
    13. Timo Wollmershäuser, 2003. "Sterilisierte Devisenmarktinterventionen - ein umstrittenes währungspolitisches Instrument," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(19), pages 34-44, October.
    14. Marcel Fratzscher, 2008. "Oral Interventions Versus Actual Interventions in Fx Markets – An Event‐Study Approach," Economic Journal, Royal Economic Society, vol. 118(530), pages 1079-1106, July.
    15. Chang, Mei-Ching & Suardi, Sandy & Chang, Yuanchen, 2017. "Foreign exchange intervention in Asian countries: What determine the odds of success during the credit crisis?," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 370-390.
    16. Dewachter, Hans & Erdemlioglu, Deniz & Gnabo, Jean-Yves & Lecourt, Christelle, 2014. "The intra-day impact of communication on euro-dollar volatility and jumps," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 131-154.
    17. Sweeney, Richard J., 2007. "Fed intervention, dollar appreciation, and systematic risk," Journal of International Money and Finance, Elsevier, vol. 26(2), pages 167-192, March.
    18. Ronald McDonald & Xuxin Mao, 2016. "Japan's Currency Intervention Regimes: A Microstructural Analysis with Speculation and Sentiment," Working Papers 2016_06, Business School - Economics, University of Glasgow.
    19. Cavusoglu Nevin, 2011. "Exchange Rates and the Effectiveness of Actual and Oral Official Interventions: A Survey on Findings, Issues and Policy Implications," Global Economy Journal, De Gruyter, vol. 10(4), pages 1-42, January.
    20. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.

    More about this item

    Keywords

    foreign exchange intervention; Bank of Zambia; EGARCH;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • A10 - General Economics and Teaching - - General Economics - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:22428. 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.