IDEAS home Printed from https://ideas.repec.org/p/pre/wpaper/201103.html
   My bibliography  Save this paper

The Opportunistic approach to monetary policy and financial markets

Author

Listed:
  • Kasai Ndahiriwe

    (Department of Economics, University of Pretoria)

  • Ruthira Naraidoo

    (Department of Economics, University of Pretoria)

Abstract

We test the concept of the Opportunistic Approach to monetary policy in South Africa post 2000 inflation targeting regime. Our findings support the two features of the opportunistic approach. First, we find that the models that include an intermediate target that reflects the recent history of inflation rather than simple inflation target improve the fit of the models. Second, the data supports the view that the South African Reserve Bank (SARB) behaves with some degree of nonresponsiveness when inflation is within the zone of discretion but react aggressively otherwise. Recursive estimates from our preferred model reveal that overall there has been a subdued reaction to inflation, output and financial conditions amidst the increased economic uncertainty of the 2007- 2009 financial crisis.

Suggested Citation

  • Kasai Ndahiriwe & Ruthira Naraidoo, 2011. "The Opportunistic approach to monetary policy and financial markets," Working Papers 201103, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201103
    as

    Download full text from publisher

    File URL: http://www.up.ac.za/media/shared/61/WP/wp_2011_03.zp39414.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gerlach-Kristen Petra, 2004. "Interest-Rate Smoothing: Monetary Policy Inertia or Unobserved Variables?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 4(1), pages 1-19, March.
    2. Bomfim, Antulio N & Rudebusch, Glenn D, 2000. "Opportunistic and Deliberate Disinflation under Imperfect Credibility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(4), pages 707-721, November.
    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. Kirsten Thompson & Renee Van Eyden & Rangan Gupta, 2015. "Identifying an index of financial conditions for South Africa," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 32(2), pages 256-274, June.
    2. Kirsten Thompson & Renee van Eyden & Rangan Gupta, 2013. "Identifying a financial conditions index for South Africa," Working Papers 201333, University of Pretoria, Department of Economics.
    3. Ndahiriwe Kasa & Ruthira Naraidoo, 2013. "The opportunistic approach to monetary policy and financial market conditions," Applied Economics, Taylor & Francis Journals, vol. 45(18), pages 2537-2545, June.
    4. Goodness C. Aye & Rangan Gupta & Mampho P. Modise, 2015. "Do Stock Prices Impact Consumption and Interest Rate in South Africa? Evidence from a Time-varying Vector Autoregressive Model," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 14(2), pages 176-196, August.
    5. Kasai, Ndahiriwe & Naraidoo, Ruthira, 2011. "Evaluating the forecasting performance of linear and nonlinear monetary policy rules for South Africa," MPRA Paper 40699, University Library of Munich, Germany.
    6. Philippe Burger, 2014. "Inflation and Market Uncertainty in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 82(4), pages 583-602, December.

    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. Naraidoo, Ruthira & Paya, Ivan, 2012. "Forecasting monetary policy rules in South Africa," International Journal of Forecasting, Elsevier, vol. 28(2), pages 446-455.
    2. Glenn Rudebusch & Lars E.O. Svensson, 1999. "Policy Rules for Inflation Targeting," NBER Chapters, in: Monetary Policy Rules, pages 203-262, National Bureau of Economic Research, Inc.
    3. Dewachter, Hans & Iania, Leonardo & Lyrio, Marco, 2011. "A New-Keynesian model of the yield curve with learning dynamics: A Bayesian evaluation," MPRA Paper 34461, University Library of Munich, Germany, revised Sep 2011.
    4. Siklos, Pierre L., 2013. "Sources of disagreement in inflation forecasts: An international empirical investigation," Journal of International Economics, Elsevier, vol. 90(1), pages 218-231.
    5. Paulo R. Mota & Abel L. C. Fernandes, 2019. "The Dynamic Adjustment Of Central Banks’ Target Interest Rate: The Case Of The Ecb," FEP Working Papers 613, Universidade do Porto, Faculdade de Economia do Porto.
    6. Helle Bunzel & Walter Enders, 2010. "The Taylor Rule and "Opportunistic" Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(5), pages 931-949, August.
    7. Glenn D. Rudebusch & Tao Wu, 2008. "A Macro‐Finance Model of the Term Structure, Monetary Policy and the Economy," Economic Journal, Royal Economic Society, vol. 118(530), pages 906-926, July.
    8. Amir Kia, 2005. "Overnight Monetary Policy in the United States: Active or Interest-Rate Smoothing?," Carleton Economic Papers 05-07, Carleton University, Department of Economics, revised Mar 2010.
    9. Wieland, Volker & Wolters, Maik, 2013. "Forecasting and Policy Making," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 239-325, Elsevier.
    10. Serkan ÇİÇEK & Cüneyt AKAR & Eray YÜCEL, 2011. "Türkiye’de enflasyon beklentilerinin çapalanması ve güvenilirlik," Iktisat Isletme ve Finans, Bilgesel Yayincilik, vol. 26(304), pages 37-55.
    11. Huh, Chan G. & Lansing, Kevin J., 2000. "Expectations, credibility, and disinflation in a small macroeconomic model," Journal of Economics and Business, Elsevier, vol. 52(1-2), pages 51-86.
    12. Carlos Medel, 2018. "An econometric analysis on survey-data-based anchoring of inflation expectations in Chile," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 21(2), pages 128-152, August.
    13. Glenn D. Rudebusch, 2001. "Is The Fed Too Timid? Monetary Policy In An Uncertain World," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 203-217, May.
    14. Glenn D. Rudebusch, 2006. "Monetary Policy Inertia: Fact or Fiction?," International Journal of Central Banking, International Journal of Central Banking, vol. 2(4), December.
    15. Christian Aubin & Ibrahima Diouf & Dominique Pepin, 2010. "Inertie De La Politique Monétaire Dans La Zone Euro : Le Rôle De L'Hétérogénéité," Post-Print hal-00960030, HAL.
    16. Camille Cornand & Cheick Kader M’baye, 2018. "Band or point inflation targeting? An experimental approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 283-309, July.
    17. Kabundi, Alain & Schaling, Eric & Some, Modeste, 2015. "Monetary policy and heterogeneous inflation expectations in South Africa," Economic Modelling, Elsevier, vol. 45(C), pages 109-117.
    18. Carlos Carvalho & Stefano Eusepi & Emanuel Moench & Bruce Preston, 2023. "Anchored Inflation Expectations," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(1), pages 1-47, January.
    19. Tesfaselassie, M.F. & Schaling, E., 2010. "Managing disinflation under uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 34(12), pages 2568-2577, December.
    20. Demertzis Maria & Viegi Nicola, 2009. "Inflation Targeting: A Framework for Communication," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-32, December.

    More about this item

    Keywords

    monetary policy; opportunistic approach; intermediate inflation; financial conditions;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

    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:pre:wpaper:201103. 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: Rangan Gupta (email available below). General contact details of provider: https://edirc.repec.org/data/decupza.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.