IDEAS home Printed from https://ideas.repec.org/p/pre/wpaper/201005.html
   My bibliography  Save this paper

Zone targeting monetary policy preferences and financial market conditions: a flexible nonlinear policy reaction function of the SARB monetary policy

Author

Listed:
  • Ruthira Naraidoo

    () (Department of Economics, University of Pretoria)

  • Leroi Raputsoane

    (Department of Economics, University of Pretoria)

Abstract

Based on a representation of policymaker’s preferences that capture inflation zone targeting behaviors, we estimate a flexible model of the monetary policy reaction function of the South African Reserve Bank (SARB). To address the current debate on the importance of financial asset prices in monetary policy decision making, we augment the analysis to allow for responses to financial market conditions over and above prices and output stabilisation. The main findings are that the monetary authorities’ response towards inflation is zone symmetric. Secondly, the monetary authorities’ response towards output is asymmetric with increased reaction during business cycle downturns versus upturns. Thirdly, the monetary authorities’ pay close attention to financial conditions index. They place the same weight on financial market booms and recessions so that their response is symmetric.

Suggested Citation

  • Ruthira Naraidoo & Leroi Raputsoane, 2010. "Zone targeting monetary policy preferences and financial market conditions: a flexible nonlinear policy reaction function of the SARB monetary policy," Working Papers 201005, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201005
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Alex Cukierman, 2002. "Are contemporary central banks transparent about economic models and objectives and what difference does it make?," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 15-36.
    2. Dolado Juan & Pedrero Ramón María-Dolores & Ruge-Murcia Francisco J., 2004. "Nonlinear Monetary Policy Rules: Some New Evidence for the U.S," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(3), pages 1-34, September.
    3. Orphanides, Athanasios & Wieland, Volker, 2000. "Inflation zone targeting," European Economic Review, Elsevier, vol. 44(7), pages 1351-1387, June.
    4. Rangan Gupta & Alain Kabundi & Mampho Modise, 2010. "Has the SARB become more effective post inflation targeting?," Economic Change and Restructuring, Springer, vol. 43(3), pages 187-204, August.
    5. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, Oxford University Press, vol. 115(1), pages 147-180.
    6. Svensson, Lars E. O., 1999. "Inflation targeting as a monetary policy rule," Journal of Monetary Economics, Elsevier, vol. 43(3), pages 607-654, June.
    7. Estrella, Arturo & Mishkin, Frederic S., 1997. "The predictive power of the term structure of interest rates in Europe and the United States: Implications for the European Central Bank," European Economic Review, Elsevier, vol. 41(7), pages 1375-1401, July.
    8. Ruge-Murcia, Francisco J, 2003. " Inflation Targeting under Asymmetric Preferences," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(5), pages 763-785, October.
    9. Geoffrey Woglom, 2003. "How Has Inflation Targeting Affected Monetary Policy in South Africa?," South African Journal of Economics, Economic Society of South Africa, vol. 71(2), pages 198-210, June.
    10. Mark Gertler & Jordi Gali & Richard Clarida, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December.
    11. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    12. Lubik, Thomas A. & Schorfheide, Frank, 2007. "Do central banks respond to exchange rate movements? A structural investigation," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1069-1087, May.
    13. Virginie Boinet & Christopher Martin, 2008. "Targets, zones, and asymmetries: a flexible nonlinear model of recent UK monetary policy," Oxford Economic Papers, Oxford University Press, vol. 60(3), pages 423-439, July.
    14. Castro, Vítor, 2008. "Are Central Banks following a linear or nonlinear (augmented) Taylor rule?," The Warwick Economics Research Paper Series (TWERPS) 872, University of Warwick, Department of Economics.
    15. Edward Nelson, 2000. "UK monetary policy 1972-97: a guide using Taylor rules," Bank of England working papers 120, Bank of England.
    16. Aksoy, Yunus & Orphanides, Athanasios & Small, David & Wieland, Volker & Wilcox, David, 2006. "A quantitative exploration of the opportunistic approach to disinflation," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 1877-1893, November.
    17. Taylor Mark P. & Davradakis Emmanuel, 2006. "Interest Rate Setting and Inflation Targeting: Evidence of a Nonlinear Taylor Rule for the United Kingdom," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-20, December.
    18. Ben S. Bernanke & Mark Gertler, 1999. "Monetary policy and asset price volatility," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 77-128.
    19. McCallum, Bennett T & Nelson, Edward, 1999. "An Optimizing IS-LM Specification for Monetary Policy and Business Cycle Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 31(3), pages 296-316, August.
    20. 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.
    21. A. Robert Nobay & David A. Peel, 2003. "Optimal Discretionary Monetary Policy in a Model of Asymmetric Central Bank Preferences," Economic Journal, Royal Economic Society, vol. 113(489), pages 657-665, July.
    22. Frederic S. Mishkin, 1996. "The Channels of Monetary Transmission: Lessons for Monetary Policy," NBER Working Papers 5464, National Bureau of Economic Research, Inc.
    23. Paolo Surico, 2007. "The Monetary Policy of the European Central Bank," Scandinavian Journal of Economics, Wiley Blackwell, vol. 109(1), pages 115-135, March.
    24. Schaling, Eric, 2004. "The Nonlinear Phillips Curve and Inflation Forecast Targeting: Symmetric versus Asymmetric Monetary Policy Rules," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(3), pages 361-386, June.
    25. Rudebusch, Glenn D., 2002. "Term structure evidence on interest rate smoothing and monetary policy inertia," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1161-1187, September.
    26. Alberto Ortiz & Federico Sturzenegger, 2007. "Estimating Sarb'S Policy Reaction Rule," South African Journal of Economics, Economic Society of South Africa, vol. 75(4), pages 659-680, December.
    27. English William B. & Nelson William R. & Sack Brian P., 2003. "Interpreting the Significance of the Lagged Interest Rate in Estimated Monetary Policy Rules," The B.E. Journal of Macroeconomics, De Gruyter, vol. 3(1), pages 1-18, April.
    28. Christopher Martin & Costas Milas, 2010. "Testing The Opportunistic Approach To Monetary Policy," Manchester School, University of Manchester, vol. 78(2), pages 110-125, March.
    29. Mark Gertler & Jordi Gali & Richard Clarida, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December.
    30. 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.
    31. Jan Hatzius & Peter Hooper & Frederic S. Mishkin & Kermit L. Schoenholtz & Mark W. Watson, 2010. "Financial Conditions Indexes: A Fresh Look after the Financial Crisis," NBER Working Papers 16150, National Bureau of Economic Research, Inc.
    32. Yun, Tack, 1996. "Nominal price rigidity, money supply endogeneity, and business cycles," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 345-370, April.
    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. Christophe Andre & Rangan Gupta & Patrick T. Kanda, 2012. "Do House Prices Impact Consumption and Interest Rate? Evidence from OECD Countries using an Agnostic Identification Procedure," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 58(1), pages 19-70.
    2. Pei-Fen Chen & Jhih-Hong Zeng & Chien-Chiang Lee, 2015. "Monetary Policy and the Diversification–Profitability Linkage in Banking: Evidences from Emerging Market Economies," South African Journal of Economics, Economic Society of South Africa, vol. 83(4), pages 576-597, December.
    3. Vittorio Peretti & Rangan Gupta & Roula Inglesi-Lotz, 2012. "Do House Prices Impact Consumption and Interest Rate in South Africa? Evidence from a Time-Varying Vector Autoregressive Model," Working Papers 201216, University of Pretoria, Department of Economics.
    4. Ali Babikir & Henry Mwambi, 2016. "Evaluating the combined forecasts of the dynamic factor model and the artificial neural network model using linear and nonlinear combining methods," Empirical Economics, Springer, vol. 51(4), pages 1541-1556, December.
    5. Mehmet Balcilar & Rangan Gupta & Kevin Kotzé, 2017. "Forecasting South African macroeconomic variables with a Markov-switching small open-economy dynamic stochastic general equilibrium model," Empirical Economics, Springer, vol. 53(1), pages 117-135, August.
    6. Leroi RAPUTSOANE, 2015. "The lean versus clean debate and monetary policy in South Africa," Journal of Economics and Political Economy, KSP Journals, vol. 2(4), pages 467-480, December.
    7. Ruthira Naraidoo & Leroi Raputsoane, 2015. "Financial markets and the response of monetary policy to uncertainty in South Africa," Empirical Economics, Springer, vol. 49(1), pages 255-278, August.
    8. Babikir, Ali & Gupta, Rangan & Mwabutwa, Chance & Owusu-Sekyere, Emmanuel, 2012. "Structural breaks and GARCH models of stock return volatility: The case of South Africa," Economic Modelling, Elsevier, vol. 29(6), pages 2435-2443.
    9. Beatrice D. Simo - Kengne & Mehmet Balcilar & Rangan Gupta & Monique Reid & Goodness C. Aye, 2012. "Is the relationship between monetary policy and house prices asymmetric in South Africa? Evidence from a Markov-Switching Vector Autoregressive mode," Working Papers 15-26, Eastern Mediterranean University, Department of Economics.
    10. 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.
    11. 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.
    12. Ruthira Naraidoo & Kasai Ndahiriwe, 2010. "Financial asset prices, linear and nonlinear policy rules. An In-sample assessment of the reaction function of the South African Reserve Bank," Working Papers 201006, University of Pretoria, Department of Economics.
    13. Simo-Kengne, Beatrice D. & Balcilar, Mehmet & Gupta, Rangan & Reid, Monique & Aye, Goodness C., 2013. "Is the relationship between monetary policy and house prices asymmetric across bull and bear markets in South Africa? Evidence from a Markov-switching vector autoregressive model," Economic Modelling, Elsevier, vol. 32(C), pages 161-171.

    More about this item

    Keywords

    Zones; asymmetries; financial conditions index;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian
    • 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:201005. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Rangan Gupta). General contact details of provider: http://edirc.repec.org/data/decupza.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.