IDEAS home Printed from https://ideas.repec.org/p/hhs/umnees/0918.html
   My bibliography  Save this paper

Mozambican Monetary Policy and the Yield Curve of Treasury Bills - An Empirical Study

Author

Listed:

Abstract

While there is a relatively large empirical literature on the link between monetary policy and yield curve for developed economies, studies on emerging and developing economies are very rare. This paper contributes to reducing this gap by studying the effectiveness of monetary policy in Mozambique. Using monthly data it examines the pass-through of changes in the policy rate to the yield curve of treasury bills in the period 2006 - 2015. The main finding is that there is a pass-through from policy rate to treasury bill. However, the transmission from short to long term maturities in the yield curve is weak and slow.

Suggested Citation

  • Machava, Agostinho & Brännäs, Kurt, 2015. "Mozambican Monetary Policy and the Yield Curve of Treasury Bills - An Empirical Study," Umeå Economic Studies 918, Umeå University, Department of Economics.
  • Handle: RePEc:hhs:umnees:0918
    as

    Download full text from publisher

    File URL: http://www.usbe.umu.se/digitalAssets/172/172650_ues918.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mr. Nikoloz Gigineishvili, 2011. "Determinants of Interest Rate Pass-Through: Do Macroeconomic Conditions and Financial Market Structure Matter?," IMF Working Papers 2011/176, International Monetary Fund.
    2. Cook, Timothy & Hahn, Thomas, 1988. "The Information Content of Discount Rate Announcements and Their Effect on Market Interest Rates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 20(2), pages 167-180, May.
    3. Mohamed Z. M. Aazim & N. S. Cooray, 2012. "Monetary Policy and Yield Curve Dynamics in an Emerging Market: Sri Lankan Perspectives," South Asian Journal of Macroeconomics and Public Finance, , vol. 1(1), pages 25-56, June.
    4. Kwan Soo Bong & Taeyoung Doh & Woong Yong Park, 2014. "Yield curve and monetary policy expectations in small open economies," Research Working Paper RWP 14-13, Federal Reserve Bank of Kansas City.
    5. V. Vance Roley & Gordon H. Sellon, 1995. "Monetary policy actions and long-term interest rates," Economic Review, Federal Reserve Bank of Kansas City, vol. 80(Q IV), pages 73-89.
    6. V. Vance Roley & Carl E. Walsh, 1985. "Monetary Policy Regimes, Expected Inflation, and the Response of Interest Rates to Money Announcements," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 100(Supplemen), pages 1011-1039.
    7. Ang, Andrew & Piazzesi, Monika, 2003. "A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables," Journal of Monetary Economics, Elsevier, vol. 50(4), pages 745-787, May.
    8. Peter Montiel & Christopher Adam & Wilfred Mbowe & Stephen O’Connell, 2012. "Financial Architecture and the Monetary Transmission Mechanism in Tanzania," CSAE Working Paper Series 2012-03, Centre for the Study of African Economies, University of Oxford.
    9. Hordahl, Peter & Tristani, Oreste & Vestin, David, 2006. "A joint econometric model of macroeconomic and term-structure dynamics," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 405-444.
    10. Estrella, Arturo & Hardouvelis, Gikas A, 1991. "The Term Structure as a Predictor of Real Economic Activity," Journal of Finance, American Finance Association, vol. 46(2), pages 555-576, June.
    11. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
    12. Diebold, Francis X. & Li, Canlin, 2006. "Forecasting the term structure of government bond yields," Journal of Econometrics, Elsevier, vol. 130(2), pages 337-364, February.
    13. Giuseppe Fontana, 2006. "The 'New Consensus' View of Monetary Policy: A New Wicksellian Connection?," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 3(2), pages 263-278.
    14. Demiralp, Selva & Yılmaz, Kamil, 2012. "Asymmetric response to monetary policy surprises at the long-end of the yield curve," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 404-418.
    15. Wali Ullah & Yasumasa Matsuda & Yoshihiko Tsukuda, 2014. "Dynamics of the term structure of interest rates and monetary policy: is monetary policy effective during zero interest rate policy?," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(3), pages 546-572, March.
    16. Joseph Bisignano, 1996. "Varieties of monetary operating procedures: balancing monetary objectives with market efficiency," BIS Working Papers 35, Bank for International Settlements.
    17. Robert J. Shiller & John Y. Campbell & Kermit L. Schoenholtz, 1983. "Forward Rates and Future Policy: Interpreting the Term Structure of Interest Rates," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 14(1), pages 173-224.
    18. Mishra, Prachi & Montiel, Peter, 2013. "How effective is monetary transmission in low-income countries? A survey of the empirical evidence," Economic Systems, Elsevier, vol. 37(2), pages 187-216.
    19. Francis X. Diebold & Glenn D. Rudebusch, 2012. "Yield Curve Modeling and Forecasting: The Dynamic Nelson-Siegel Approach," Economics Books, Princeton University Press, edition 1, volume 1, number 9895.
    20. Frederic S. Mishkin, 1996. "The Channels of Monetary Transmission: Lessons for Monetary Policy," NBER Working Papers 5464, National Bureau of Economic Research, Inc.
    21. N. Gregory Mankiw & Jeffrey A. Miron, 1986. "The Changing Behavior of the Term Structure of Interest Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(2), pages 211-228.
    22. Mohamed Aazim & James Rhodes, 2011. "Monetary Policy Effectiveness and Yield Curve Dynamics," Japanese Economy, Taylor & Francis Journals, vol. 38(4), pages 109-135.
    23. Smirlock, Michael J & Yawitz, Jess B, 1985. "Asset Returns, Discount Rate Changes, and Market Efficiency," Journal of Finance, American Finance Association, vol. 40(4), pages 1141-1158, September.
    24. repec:aer:wpaper:259 is not listed on IDEAS
    25. Kozicki, Sharon & Tinsley, P. A., 2001. "Term structure views of monetary policy under alternative models of agent expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 25(1-2), pages 149-184, January.
    26. Fama, Eugene F & Bliss, Robert R, 1987. "The Information in Long-Maturity Forward Rates," American Economic Review, American Economic Association, vol. 77(4), pages 680-692, September.
    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. Machava, Agostinho, 2017. "The Macroeconomic Determinants of the Pass-Through from the Market Interest Rate to the Bank Lending Rate in Mozambique," Umeå Economic Studies 954, Umeå University, Department of Economics.

    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. Ang, Andrew & Piazzesi, Monika & Wei, Min, 2006. "What does the yield curve tell us about GDP growth?," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 359-403.
    2. Carriero, Andrea & Favero, Carlo A. & Kaminska, Iryna, 2006. "Financial factors, macroeconomic information and the Expectations Theory of the term structure of interest rates," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 339-358.
    3. Guidolin, Massimo & Thornton, Daniel L., 2018. "Predictions of short-term rates and the expectations hypothesis," International Journal of Forecasting, Elsevier, vol. 34(4), pages 636-664.
    4. Luis Ceballos & Alberto Naudon & Damián Romero, 2016. "Nominal term structure and term premia: evidence from Chile," Applied Economics, Taylor & Francis Journals, vol. 48(29), pages 2721-2735, June.
    5. Timothy Q. Cook & Thomas K. Hahn, 1990. "Interest rate expectations and the slope of the money market yield curve," Economic Review, Federal Reserve Bank of Richmond, vol. 76(Sep), pages 3-26.
    6. S. Boragan Aruoba & Francis X. Diebold & Glenn D. Rudebusch, 2003. "The macroeconomy and the yield curve: a nonstructural analysis," Working Paper Series 2003-18, Federal Reserve Bank of San Francisco.
    7. Evangelos Salachas & Georgios P. Kouretas & Nikiforos T. Laopodis, 2024. "The term structure of interest rates and economic activity: Evidence from the COVID‐19 pandemic," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(4), pages 1018-1041, July.
    8. Kozicki, Sharon & Tinsley, P. A., 2001. "Shifting endpoints in the term structure of interest rates," Journal of Monetary Economics, Elsevier, vol. 47(3), pages 613-652, June.
    9. Christensen, Jens H.E. & Diebold, Francis X. & Rudebusch, Glenn D., 2011. "The affine arbitrage-free class of Nelson-Siegel term structure models," Journal of Econometrics, Elsevier, vol. 164(1), pages 4-20, September.
    10. Hautsch, Nikolaus & Ou, Yangguoyi, 2012. "Analyzing interest rate risk: Stochastic volatility in the term structure of government bond yields," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 2988-3007.
    11. Ioannidis, Christos & Ka, Kook, 2018. "The impact of oil price shocks on the term structure of interest rates," Energy Economics, Elsevier, vol. 72(C), pages 601-620.
    12. Eric McCoy, 2019. "A Calibration of the Term Premia to the Euro Area," European Economy - Discussion Papers 110, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    13. Constantino Hevia & Martin Sola, 2018. "Bond Risk Premia and Restrictions on Risk Prices," JRFM, MDPI, vol. 11(4), pages 1-22, October.
    14. Paccagnini, Alessia, 2016. "The macroeconomic determinants of the US term structure during the Great Moderation," Economic Modelling, Elsevier, vol. 52(PA), pages 216-225.
    15. Wali Ullah, 2017. "Term structure forecasting in affine framework with time-varying volatility," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(3), pages 453-483, August.
    16. Kim, Hwagyun & Park, Hail, 2013. "Term structure dynamics with macro-factors using high frequency data," Journal of Empirical Finance, Elsevier, vol. 22(C), pages 78-93.
    17. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Switching Nelson-Siegel Models," BAFFI CAREFIN Working Papers 19106, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    18. Michiel De Pooter & Francesco Ravazzolo & Dick van Dijk, 2010. "Term structure forecasting using macro factors and forecast combination," International Finance Discussion Papers 993, Board of Governors of the Federal Reserve System (U.S.).
    19. Zhu, Xiaoneng & Rahman, Shahidur, 2015. "A regime-switching Nelson–Siegel term structure model of the macroeconomy," Journal of Macroeconomics, Elsevier, vol. 44(C), pages 1-17.
    20. Sanjay Singh & Neeraj Hatekar, 2018. "Macroeconomic shocks and evolution of term structure of interest rate: A dynamic latent factor approach," Indian Economic Review, Springer, vol. 53(1), pages 245-262, December.

    More about this item

    Keywords

    Mozambique; Factor model; Policy rate; Effect; Estimation;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • G20 - Financial Economics - - Financial Institutions and Services - - - 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:hhs:umnees:0918. 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: David Skog (email available below). General contact details of provider: https://edirc.repec.org/data/inumuse.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.