IDEAS home Printed from https://ideas.repec.org/a/eee/jimfin/v28y2009i7p1165-1181.html
   My bibliography  Save this article

Do monetary indicators lead euro area inflation?

Author

Listed:
  • Hofmann, Boris

Abstract

This paper assesses based on euro area data whether the strong in-sample long-run link between money growth and inflation that has been highlighted by a number of recent empirical studies is exploitable to predict inflation out of sample. The results from standard bivariate forecasting models suggest that no monetary (nor any other) single indicator significantly outperforms a simple benchmark forecast. The further analysis shows that it would be premature however to discard based on such evidence the usefulness of monetary (and all other) indicators. First, it is shown that based on judgemental adjustments to monetary indicators correcting for the effects of identifiable, persistent velocity shifts, it appears possible to significantly improve predictive ability in real time. Second, I find that a factor forecasting model combining monetary and economic indicators, which can be regarded as a generalized quantity theory- or two-pillar Phillips Curve-forecasting model, delivers a fairly good and stable forecasting performance.

Suggested Citation

  • Hofmann, Boris, 2009. "Do monetary indicators lead euro area inflation?," Journal of International Money and Finance, Elsevier, vol. 28(7), pages 1165-1181, November.
  • Handle: RePEc:eee:jimfin:v:28:y:2009:i:7:p:1165-1181
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0261-5606(09)00058-8
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Assenmacher-Wesche, Katrin & Gerlach, Stefan & Sekine, Toshitaka, 2008. "Monetary factors and inflation in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 22(3), pages 343-363, September.
    2. Elena Angelini & Jérôme Henry & Ricardo Mestre, 2001. "Diffusion index-based inflation forecasts for the euro area," BIS Papers chapters,in: Bank for International Settlements (ed.), Empirical studies of structural changes and inflation, volume 3, pages 109-138 Bank for International Settlements.
    3. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2003. "Do financial variables help forecasting inflation and real activity in the euro area?," Journal of Monetary Economics, Elsevier, vol. 50(6), pages 1243-1255, September.
    4. Raffaella Giacomini & Halbert White, 2006. "Tests of Conditional Predictive Ability," Econometrica, Econometric Society, vol. 74(6), pages 1545-1578, November.
    5. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Money growth, output gaps and inflation at low and high frequency: Spectral estimates for Switzerland," Journal of Economic Dynamics and Control, Elsevier, vol. 32(2), pages 411-435, February.
    6. G. Coenen & J.-L. Vega, 2001. "The demand for M3 in the euro area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(6), pages 727-748.
    7. Clark, Todd E. & McCracken, Michael W., 2001. "Tests of equal forecast accuracy and encompassing for nested models," Journal of Econometrics, Elsevier, vol. 105(1), pages 85-110, November.
    8. Katrin Assenmacher-Wesche & Stefan Gerlach, 2007. "Money at Low Frequencies," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 534-542, 04-05.
    9. Nicoletti-Altimari, Sergio, 2001. "Does money lead inflation in the euro area?," Working Paper Series 0063, European Central Bank.
    10. Matteo Ciccarelli & Günter Coenen & Jérôme Henry, 2006. "A real-time database for the euro area," Research Bulletin, European Central Bank, vol. 5, pages 6-8.
    11. Carmine Trecroci & Juan Vega, 2002. "The information content of M3 for future inflation in the Euro area," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 138(1), pages 22-53, March.
    12. Sylvia Kaufmann & Peter Kugler, 2008. "Does Money Matter For Inflation In The Euro Area?," Contemporary Economic Policy, Western Economic Association International, vol. 26(4), pages 590-606, October.
    13. West, Kenneth D, 1996. "Asymptotic Inference about Predictive Ability," Econometrica, Econometric Society, vol. 64(5), pages 1067-1084, September.
    14. Gerlach, Stefan, 2003. "The ECB's Two Pillars," CEPR Discussion Papers 3689, C.E.P.R. Discussion Papers.
    15. Carstensen, Kai, 2007. "Is core money growth a good and stable inflation predictor in the euro area?," Kiel Working Papers 1318, Kiel Institute for the World Economy (IfW).
    16. George Kapetanios & Massimiliano Marcellino, 2009. "A parametric estimation method for dynamic factor models of large dimensions," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(2), pages 208-238, March.
    17. Francis X. Diebold & Jose A. Lopez, 1995. "Forecast evaluation and combination," Research Paper 9525, Federal Reserve Bank of New York.
    18. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Interpreting euro area inflation at high and low frequencies," European Economic Review, Elsevier, vol. 52(6), pages 964-986, August.
    19. 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.
    20. Todd Clark & Michael McCracken, 2005. "Evaluating Direct Multistep Forecasts," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 369-404.
    21. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    22. Stock, James H. & Watson, Mark W., 1999. "Forecasting inflation," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 293-335, October.
    23. Stefan Gerlach, 2004. "The two pillars of the European Central Bank," Economic Policy, CEPR;CES;MSH, vol. 19(40), pages 389-439, October.
    24. Paul De Grauwe & Magdalena Polan, 2005. "Is Inflation Always and Everywhere a Monetary Phenomenon?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 107(2), pages 239-259, June.
    25. 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.
    26. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    27. Joaquim Vieira Ferreira Levy & Alessandro Calza & Dieter Gerdesmeier, 2001. "Euro Area Money Demand; Measuring the Opportunity Costs Appropriately," IMF Working Papers 01/179, International Monetary Fund.
    28. Jean Boivin & Serena Ng, 2005. "Understanding and Comparing Factor-Based Forecasts," International Journal of Central Banking, International Journal of Central Banking, vol. 1(3), December.
    29. Mark W. Watson & James H. Stock, 2004. "Combination forecasts of output growth in a seven-country data set," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(6), pages 405-430.
    30. Brand, Claus & Cassola, Nuno, 2000. "A money demand system for euro area M3," Working Paper Series 0039, European Central Bank.
    31. A. Calza & C. Gartner & J. Sousa, 2003. "Modelling the demand for loans to the private sector in the euro area," Applied Economics, Taylor & Francis Journals, vol. 35(1), pages 107-117.
    32. Neumann, Manfred J. M. & Greiber, Claus, 2004. "Inflation and core money growth in the euro area," Discussion Paper Series 1: Economic Studies 2004,36, Deutsche Bundesbank.
    33. Andrew Atkeson & Lee E. Ohanian, 2001. "Are Phillips curves useful for forecasting inflation?," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Win, pages 2-11.
    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. Arratibel, Olga & Leiner-Killinger, Nadine & Kamps, Christophe, 2009. "Inflation forecasting in the new EU Member States," Working Paper Series 1015, European Central Bank.
    2. repec:eee:econom:v:198:y:2017:i:2:p:231-252 is not listed on IDEAS
    3. Helge Berger & Pär Österholm, 2011. "Does Money Growth Granger Cause Inflation in the Euro Area? Evidence from Out‐of‐Sample Forecasts Using Bayesian VARs," The Economic Record, The Economic Society of Australia, vol. 87(276), pages 45-60, March.
    4. repec:eee:ecofin:v:42:y:2017:i:c:p:421-432 is not listed on IDEAS
    5. Öğünç, Fethi & Akdoğan, Kurmaş & Başer, Selen & Chadwick, Meltem Gülenay & Ertuğ, Dilara & Hülagü, Timur & Kösem, Sevim & Özmen, Mustafa Utku & Tekatlı, Necati, 2013. "Short-term inflation forecasting models for Turkey and a forecast combination analysis," Economic Modelling, Elsevier, vol. 33(C), pages 312-325.
    6. Berger, Helge & Harjes, Thomas & Stavrev, Emil, 2008. "The ECB's monetary analysis revisited," Discussion Papers 2008/14, Free University Berlin, School of Business & Economics.
    7. Fourçans, André & Vranceanu, Radu, 2008. "Money in the Inflation Equation: the Euro Area Evidence," ESSEC Working Papers DR 08012, ESSEC Research Center, ESSEC Business School.
    8. Cendejas, José Luis & Castañeda, Juan E. & Muñoz, Félix-Fernando, 2014. "Business cycle, interest rate and money in the euro area: A common factor model," Economic Modelling, Elsevier, vol. 43(C), pages 136-141.
    9. Jung, Alexander, 2016. "Have monetary data releases helped markets to predict the interest rate decisions of the European Central Bank?," Working Paper Series 1926, European Central Bank.
    10. Gonçalves, Sílvia & McCracken, Michael W. & Perron, Benoit, 2017. "Tests of equal accuracy for nested models with estimated factors," Journal of Econometrics, Elsevier, vol. 198(2), pages 231-252.

    More about this item

    Keywords

    Euro area Inflation Leading indicators Money;

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
    • 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

    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:eee:jimfin:v:28:y:2009:i:7:p:1165-1181. 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: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/inca/30443 .

    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.