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Monetary policy reaction function pre and post the global financial crisis

Author

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  • Raputsoane, Leroi
Abstract
This paper analyses the monetary policy reaction function pre and post the recent global financial crisis in South Africa. This is achieved by comparing the reaction function of the the monetary policy interest rate to changes in the target variables that comprise the inflation rate, output gap and financial stress index pre and post the recent global financial crisis. The results show a negligible reaction of the monetary policy to changes in inflation in the pre and post the recent global financial crisis period. The results further show a relatively loose monetary policy stance during the financially stressful economic conditions in the pre and post the recent global financial crisis period. Most importantly, the results show that the reaction of monetary policy to changes in the target variables pre the recent global financial crisis period has not changed significantly compared to post the recent global financial crisis period. Therefore the paper concludes that there is no material difference in the conduct of monetary policy by the monetary authority in South Africa pre and post the recent global financial crisis.

Suggested Citation

  • Raputsoane, Leroi, 2018. "Monetary policy reaction function pre and post the global financial crisis," MPRA Paper 84866, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:84866
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    File URL: https://mpra.ub.uni-muenchen.de/84866/1/MPRA_paper_84866.pdf
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    as
    1. Ben S. Bernanke & Mark Gertler, 2001. "Should Central Banks Respond to Movements in Asset Prices?," American Economic Review, American Economic Association, vol. 91(2), pages 253-257, May.
    2. Frederic S. Mishkin, 2009. "Is Monetary Policy Effective during Financial Crises?," American Economic Review, American Economic Association, vol. 99(2), pages 573-577, May.
    3. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 147-180.
    4. Boivin, Jean & Kiley, Michael T. & Mishkin, Frederic S., 2010. "How Has the Monetary Transmission Mechanism Evolved Over Time?," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 8, pages 369-422, Elsevier.
    5. Robert B. Litterman, 1984. "Forecasting and policy analysis with Bayesian vector autoregression models," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 8(Fall).
    6. Chang-jin Kim & N. Kundan Kishor & Charles R Nelson, 2006. "A Time-Varying Parameter Model for a Forward-Looking Monetary Policy Rule Based on Real-Time Data," Working Papers UWEC-2007-32, University of Washington, Department of Economics.
    7. Alejandro Justiniano & Giorgio E. Primiceri, 2008. "The Time-Varying Volatility of Macroeconomic Fluctuations," American Economic Review, American Economic Association, vol. 98(3), pages 604-641, June.
    8. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
    9. Ben S. Bernanke & Ilian Mihov, 1998. "Measuring Monetary Policy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(3), pages 869-902.
    10. Cúrdia, Vasco & Woodford, Michael, 2011. "The central-bank balance sheet as an instrument of monetarypolicy," Journal of Monetary Economics, Elsevier, vol. 58(1), pages 54-79, January.
    11. Hanson, Michael S., 2006. "Varying monetary policy regimes: A vector autoregressive investigation," Journal of Economics and Business, Elsevier, vol. 58(5-6), pages 407-427.
    12. Canova, Fabio, 1993. "Modelling and forecasting exchange rates with a Bayesian time-varying coefficient model," Journal of Economic Dynamics and Control, Elsevier, vol. 17(1-2), pages 233-261.
    13. Frederic S. Mishkin, 2011. "Monetary Policy Strategy: Lessons from the Crisis," NBER Working Papers 16755, National Bureau of Economic Research, Inc.
    14. Assenmacher-Wesche, Katrin, 2006. "Estimating Central Banks' preferences from a time-varying empirical reaction function," European Economic Review, Elsevier, vol. 50(8), pages 1951-1974, November.
    15. Sims, Christopher A & Uhlig, Harald, 1991. "Understanding Unit Rooters: A Helicopter Tour," Econometrica, Econometric Society, vol. 59(6), pages 1591-1599, November.
    16. Illing, Mark & Liu, Ying, 2006. "Measuring financial stress in a developed country: An application to Canada," Journal of Financial Stability, Elsevier, vol. 2(3), pages 243-265, October.
    17. Gary M. Koop, 2013. "Forecasting with Medium and Large Bayesian VARS," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(2), pages 177-203, March.
    18. Dimitris Korobilis, 2013. "Assessing the Transmission of Monetary Policy Using Time-varying Parameter Dynamic Factor Models-super-," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(2), pages 157-179, April.
    19. Morten O. Ravn & Harald Uhlig, 2002. "On adjusting the Hodrick-Prescott filter for the frequency of observations," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 371-375.
    20. 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.
    21. repec:ulb:ulbeco:2013/13388 is not listed on IDEAS
    22. Kevin L. Kliesen & Michael T. Owyang & E. Katarina Vermann, 2012. "Disentangling diverse measures: a survey of financial stress indexes," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 369-398.
    23. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    24. Vasco Cúrdia & Michael Woodford, 2010. "Credit Spreads and Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(s1), pages 3-35, September.
    25. Claudio Borio, 2014. "The financial cycle and macroeconomics: what have we learned and what are the policy implications?," Chapters, in: Ewald Nowotny & Doris Ritzberger-Grünwald & Peter Backé (ed.), Financial Cycles and the Real Economy, chapter 2, pages 10-35, Edward Elgar Publishing.
    26. Timothy Cogley & Thomas J. Sargent, 2005. "The conquest of US inflation: Learning and robustness to model uncertainty," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 528-563, April.
    27. Nelson, Edward & Nikolov, Kalin, 2004. "Monetary Policy and Stagflation in the UK," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(3), pages 293-318, June.
    28. Borio, Claudio, 2014. "The financial cycle and macroeconomics: What have we learnt?," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 182-198.
    29. Rudebusch, Glenn D, 1998. "Do Measures of Monetary Policy in a VAR Make Sense?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 907-931, November.
    30. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    31. James H. Stock & Mark W. Watson, 2001. "Vector Autoregressions," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 101-115, Fall.
    32. Leroi RAPUTSOANE, 2016. "Financial Stress Indicator Variables and Monetary Policy in South Africa," Journal of Economics Bibliography, KSP Journals, vol. 3(2), pages 203-214, June.
    33. Athanasios Orphanides, 2002. "Monetary-Policy Rules and the Great Inflation," American Economic Review, American Economic Association, vol. 92(2), pages 115-120, May.
    34. Claudio Borio & William R. White, 2003. "Whither monetary and financial stability : the implications of evolving policy regimes," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 131-211.
    35. Ravi Balakrishnan & Stephan Danninger & Selim Elekdag & Irina Tytell, 2011. "The Transmission of Financial Stress from Advanced to Emerging Economies," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(0), pages 40-68, May.
    36. Marco Del Negro & Giorgio E. Primiceri, 2015. "Time Varying Structural Vector Autoregressions and Monetary Policy: A Corrigendum," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1342-1345.
    37. Cardarelli, Roberto & Elekdag, Selim & Lall, Subir, 2011. "Financial stress and economic contractions," Journal of Financial Stability, Elsevier, vol. 7(2), pages 78-97, June.
    38. Baxa, Jaromír & Horváth, Roman & Vašíček, Bořek, 2014. "How Does Monetary Policy Change? Evidence On Inflation-Targeting Countries," Macroeconomic Dynamics, Cambridge University Press, vol. 18(3), pages 593-630, April.
    39. Michael Woodford, 2012. "Inflation Targeting and Financial Stability," NBER Working Papers 17967, National Bureau of Economic Research, Inc.
    40. John B. Taylor, 2012. "Monetary Policy Rules Work and Discretion Doesn’t: A Tale of Two Eras," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(6), pages 1017-1032, September.
    41. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    42. Mise, Emi & Kim, Tae-Hwan & Newbold, Paul, 2005. "On suboptimality of the Hodrick-Prescott filter at time series endpoints," Journal of Macroeconomics, Elsevier, vol. 27(1), pages 53-67, March.
    43. Edward Nelson, 2005. "Monetary Policy Neglect and the Great Inflation in Canada, Australia, and New Zealand," International Journal of Central Banking, International Journal of Central Banking, vol. 1(1), May.
    44. Timothy Cogley & Giorgio E. Primiceri & Thomas J. Sargent, 2010. "Inflation-Gap Persistence in the US," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 43-69, January.
    45. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    46. Rudebusch, Glenn D, 1998. "Do Measures of Monetary Policy in a VAR Make Sense? A Reply," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 943-948, November.
    47. Kim, Chang-Jin & Nelson, Charles R., 2006. "Estimation of a forward-looking monetary policy rule: A time-varying parameter model using ex post data," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 1949-1966, November.
    48. Cevik, Emrah Ismail & Dibooglu, Sel & Kutan, Ali M., 2013. "Measuring financial stress in transition economies," Journal of Financial Stability, Elsevier, vol. 9(4), pages 597-611.
    49. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 99-132, March-Apr.
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    More about this item

    Keywords

    Monetary policy; Financial stress; Foreign exchange rate;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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