IDEAS home Printed from https://ideas.repec.org/p/sea/wpaper/wp35.html
   My bibliography  Save this paper

The Macroeconomic Response to Real and Financial Factors, Commodity Prices, and Monetary Policy: International Evidence

Author

Listed:
  • Pierre L. Siklos

    (Wilfrid Laurier University and Balsillie School of International Affairs, Waterloo, ON, CANADA.)

Abstract

This study estimates a variety of small dynamic factor macro models where the factors are time-varying. Different assumptions are made about the long-run impact of these shocks, including allowing commodity price shocks to alternatively be exogenous or endogenous. The sample consists of 20 economies around the world. It includes the most globally systemically important economies as well as 6 SEACEN member economies. Using quarterly data since the late 1990s I find that the focus of some policy makers on the spillovers of monetary shocks is exaggerated. Four separate types of shocks are identified, and these can easily offset each other with a neutral overall economic impact on the domestic economies investigated here. Nevertheless, it does appear resource rich economies including some of the SEACEN members in this category, tend to suffer a net economic loss from spillovers that originate in the US. Equally important, examining the interaction of real, financial, monetary and commodity shocks is improved when the various factors are time-varying.

Suggested Citation

  • Pierre L. Siklos, 2018. "The Macroeconomic Response to Real and Financial Factors, Commodity Prices, and Monetary Policy: International Evidence," Working Papers wp35, South East Asian Central Banks (SEACEN) Research and Training Centre.
    • Handle: RePEc:sea:wpaper:wp35
    as

    Download full text from publisher

    File URL: https://www.seacen.org/publications/RePEc/702001-100445-PDF.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Carmen M. Reinhart & Vincent Reinhart & Christoph Trebesch, 2016. "Global Cycles: Capital Flows, Commodities, and Sovereign Defaults, 1815-2015," American Economic Review, American Economic Association, vol. 106(5), pages 574-580, May.
    2. Bates, Brandon J. & Plagborg-Møller, Mikkel & Stock, James H. & Watson, Mark W., 2013. "Consistent factor estimation in dynamic factor models with structural instability," Journal of Econometrics, Elsevier, vol. 177(2), pages 289-304.
    3. V.V. Chari & Lawrence Christiano, 2017. "Financialization in Commodity Markets," NBER Working Papers 23766, National Bureau of Economic Research, Inc.
    4. Pontines, Victor, 2017. "The financial cycles in four East Asian economies," Economic Modelling, Elsevier, vol. 65(C), pages 51-66.
    5. 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.
    6. Qianying Chen & Marco Lombardi & Alex Ross & Feng Zhu, 2017. "Global impact of US and euro area unconventional monetary policies: a comparison," BIS Working Papers 610, Bank for International Settlements.
    7. Frederick van der Ploeg, 2011. "Natural Resources: Curse or Blessing?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 366-420, June.
    8. Domenico Lombardi & Pierre Siklos & Samantha St. Amand, 2018. "A Survey Of The International Evidence And Lessons Learned About Unconventional Monetary Policies: Is A ‘New Normal’ In Our Future?," Journal of Economic Surveys, Wiley Blackwell, vol. 32(5), pages 1229-1256, December.
    9. James D. Hamilton, 2017. "Why You Should Never Use the Hodrick-Prescott Filter," NBER Working Papers 23429, National Bureau of Economic Research, Inc.
    10. James H. Stock & Mark W. Watson, 2007. "Erratum to "Why Has U.S. Inflation Become Harder to Forecast?"," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1849-1849, October.
    11. Siklos, Pierre L., 2018. "Boom-and-bust cycles in emerging markets: How important is the exchange rate?," Journal of Macroeconomics, Elsevier, vol. 56(C), pages 172-187.
    12. Jerome H. Powell, 2018. "Monetary Policy Influences on Global Financial Conditions and International Capital Flows : a speech at \"Challenges for Monetary Policy and the GFSN in an Evolving Global Economy\" Eighth H," Speech 1000, Board of Governors of the Federal Reserve System (U.S.).
    13. James H. Stock & Mark W. Watson, 2007. "Erratum to “Why Has U.S. Inflation Become Harder to Forecast?”," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1849-1849, October.
    14. Wieladek, Tomasz & Haldane, Andrew & Roberts-Sklar, Matt & Young, Chris, 2016. "QE: the story so far," CEPR Discussion Papers 11691, C.E.P.R. Discussion Papers.
    15. Weale, Martin & Wieladek, Tomasz, 2016. "What are the macroeconomic effects of asset purchases?," Journal of Monetary Economics, Elsevier, vol. 79(C), pages 81-93.
    16. Jeffrey A. Frankel, 2008. "The Effect of Monetary Policy on Real Commodity Prices," NBER Chapters, in: Asset Prices and Monetary Policy, pages 291-333, National Bureau of Economic Research, Inc.
    17. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    18. Victor Pontines, 2017. "Extracting and Measuring Periodicities of Credit and Housing Cycles: Evidence from Eight Economies," Working Papers wp28, South East Asian Central Banks (SEACEN) Research and Training Centre.
    19. Robert B. Barsky & Lutz Kilian, 2002. "Do We Really Know That Oil Caused the Great Stagflation? A Monetary Alternative," NBER Chapters, in: NBER Macroeconomics Annual 2001, Volume 16, pages 137-198, National Bureau of Economic Research, Inc.
    20. Borio, Claudio, 2014. "The financial cycle and macroeconomics: What have we learnt?," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 182-198.
    21. Enrique Alberola-Ila & Ricardo Sousa, 2017. "Assessing fiscal policy through the lens of the financial and the commodity price cycles," BIS Working Papers 638, Bank for International Settlements.
    22. Mr. Jiaqian Chen & Mr. Tommaso Mancini-Griffoli & Ms. Ratna Sahay, 2014. "Spillovers from United States Monetary Policy on Emerging Markets: Different This Time?," IMF Working Papers 2014/240, International Monetary Fund.
    23. Holm-Hadulla, Fédéric & Hubrich, Kirstin, 2017. "Macroeconomic implications of oil price fluctuations: a regime-switching framework for the euro area," Working Paper Series 2119, European Central Bank.
    24. 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.
    25. Mr. Scott Roger, 2009. "Inflation Targeting at 20 - Achievements and Challenges," IMF Working Papers 2009/236, International Monetary Fund.
    26. Gargano, Antonio & Timmermann, Allan, 2014. "Forecasting commodity price indexes using macroeconomic and financial predictors," International Journal of Forecasting, Elsevier, vol. 30(3), pages 825-843.
    27. Nikolay Gospodinov & Serena Ng, 2013. "Commodity Prices, Convenience Yields, and Inflation," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 206-219, March.
    28. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    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. Honoré Sèwanoudé HOUNGBEDJI, 2022. "Non linéarité de la fonction de réaction de la Banque centrale des Etats de l’Afrique de l’Ouest," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 56, pages 133-157.

    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. Gary Koop & Dimitris Korobilis, 2012. "Forecasting Inflation Using Dynamic Model Averaging," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 867-886, August.
    2. Hauzenberger, Niko, 2021. "Flexible Mixture Priors for Large Time-varying Parameter Models," Econometrics and Statistics, Elsevier, vol. 20(C), pages 87-108.
    3. Pablo Guerróon‐Quintana & Molin Zhong, 2023. "Macroeconomic forecasting in times of crises," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 295-320, April.
    4. Guido Ascari & Luca Fosso, 2021. "The Inflation Rate Disconnect Puzzle: On the International Component of Trend Inflation and the Flattening of the Phillips Curve," Working Paper 2021/17, Norges Bank.
    5. Martínez-García Enrique, 2018. "Modeling time-variation over the business cycle (1960–2017): an international perspective," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(5), pages 1-25, December.
    6. Lukmanova, Elizaveta & Rabitsch, Katrin, 2023. "Evidence on monetary transmission and the role of imperfect information: Interest rate versus inflation target shocks," European Economic Review, Elsevier, vol. 158(C).
    7. Ha, Jongrim & Kose, M. Ayhan & Ohnsorge, Franziska, 2023. "One-stop source: A global database of inflation," Journal of International Money and Finance, Elsevier, vol. 137(C).
    8. Apergis, Nicholas & Chatziantoniou, Ioannis & Cooray, Arusha, 2020. "Monetary policy and commodity markets: Unconventional versus conventional impact and the role of economic uncertainty," International Review of Financial Analysis, Elsevier, vol. 71(C).
    9. Pär Österholm & Aubrey Poon, 2023. "Trend Inflation in Sweden," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4707-4716, October.
    10. Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2020. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 17-33, March.
    11. Mertens, Elmar, 2023. "Precision-based sampling for state space models that have no measurement error," Journal of Economic Dynamics and Control, Elsevier, vol. 154(C).
    12. Nataliia Ostapenko, 2022. "Do output gap estimates improve inflation forecasts in Slovakia?," Working and Discussion Papers WP 4/2022, Research Department, National Bank of Slovakia.
    13. Bruno Feunou & Jean-Sébastien Fontaine, 2021. "Debt-Secular Economic Changes and Bond Yields," Staff Working Papers 21-14, Bank of Canada.
    14. Behera, Harendra Kumar & Patra, Michael Debabrata, 2022. "Measuring trend inflation in India," Journal of Asian Economics, Elsevier, vol. 80(C).
    15. Philippe Goulet Coulombe, 2021. "The Macroeconomy as a Random Forest," Working Papers 21-05, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    16. James M. Nason & Gregor W. Smith, 2021. "UK inflation forecasts since the thirteenth century," CAMA Working Papers 2021-32, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    17. Christophe Andre & David Gabauer & Rangan Gupta, 2020. "Time-Varying Spillovers between Housing Sentiment and Housing Market in the United States," Working Papers 202091, University of Pretoria, Department of Economics.
    18. Niko Hauzenberger, 2020. "Flexible Mixture Priors for Large Time-varying Parameter Models," Papers 2006.10088, arXiv.org, revised Nov 2020.
    19. Anthony Garratt & Ivan Petrella, 2022. "Commodity prices and inflation risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 392-414, March.
    20. Jozef Barunik & Lukas Vacha, 2023. "The Dynamic Persistence of Economic Shocks," Papers 2306.01511, arXiv.org.

    More about this item

    Keywords

    SEACEN; Commodity Prices; Dynamic Factor Models; Time-Varying Estimates;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes
    • F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission

    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:sea:wpaper:wp35. 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: Azharin (email available below). General contact details of provider: https://edirc.repec.org/data/seacemy.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.