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Inflation Forecasts: Are Market-Based and Survey-Based Measures Informative?

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  • Magdalena Grothe
  • Aidan Meyler

Abstract

This paper analyses the predictive power of market-based and survey-based inflation expectations for actual inflation. We use the data on inflation swaps and the forecasts from the Survey of Professional Forecasters for the euro area and the United States. The results show that both market-based and survey-based measures have a non-negligible predictive power for inflation developments, as compared to statistical benchmark models. Therefore, for horizons of one and two years ahead, market-based and survey-based inflation expectations actually convey information on future inflation developments.

Suggested Citation

  • Magdalena Grothe & Aidan Meyler, 2018. "Inflation Forecasts: Are Market-Based and Survey-Based Measures Informative?," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 9(1), pages 171-188, January.
  • Handle: RePEc:jfr:ijfr11:v:9:y:2018:i:1:p:171-188
    DOI: 10.5430/ijfr.v9n1p171
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    References listed on IDEAS

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    1. Luis Gil‐Alana & Antonio Moreno & Fernando Pérez de Gracia, 2012. "Exploring Survey‐Based Inflation Forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 31(6), pages 524-539, September.
    2. Antonello D’Agostino & Kieran Mcquinn & Karl Whelan, 2012. "Are Some Forecasters Really Better Than Others?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(4), pages 715-732, June.
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    4. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Is the Phillips Curve Alive and Well after All? Inflation Expectations and the Missing Disinflation," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 197-232, January.
    5. Ang, Andrew & Bekaert, Geert & Wei, Min, 2007. "Do macro variables, asset markets, or surveys forecast inflation better?," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1163-1212, May.
    6. Marcellino, Massimiliano & Stock, James H. & Watson, Mark W., 2006. "A comparison of direct and iterated multistep AR methods for forecasting macroeconomic time series," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 499-526.
    7. 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.
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    10. Carlos Bowles & Roberta Friz & Veronique Genre & Geoff Kenny & Aidan Meyler & Tuomas Rautanen, 2010. "An Evaluation of the Growth and Unemployment Forecasts in the ECB Survey of Professional Forecasters," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2010(2), pages 1-28.
    11. Ejsing, Jacob & Grothe, Magdalena & Grothe, Oliver, 2015. "Liquidity and credit premia in the yields of highly-rated sovereign bonds," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 160-173.
    12. Genre, Véronique & Kenny, Geoff & Meyler, Aidan & Timmermann, Allan, 2013. "Combining expert forecasts: Can anything beat the simple average?," International Journal of Forecasting, Elsevier, vol. 29(1), pages 108-121.
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    14. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
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    Cited by:

    1. repec:taf:apeclt:v:24:y:2017:i:20:p:1481-1485 is not listed on IDEAS
    2. Fuest, Angela & Schmidt, Torsten, 2017. "Inflation expectation uncertainty, inflation and the output gap," Ruhr Economic Papers 673, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. Lucio Gobbi & Ronny Mazzocchi & Roberto Tamborini, 2018. "Monetary policy, de-anchoring of inflation expectations, and the 'new normal'," DEM Working Papers 2018/04, Department of Economics and Management.
    4. repec:eee:intfor:v:34:y:2018:i:4:p:788-801 is not listed on IDEAS
    5. Andrea Fracasso & Rocco Probo, 2017. "When did inflation expectations in the Euro area de-anchor?," Applied Economics Letters, Taylor & Francis Journals, vol. 24(20), pages 1481-1485, November.
    6. Hanoma, Ahmed & Nautz, Dieter, 2018. "The information content of inflation swap rates for the long-term inflation expectations of professionals: Evidence from a MIDAS analysis," Discussion Papers 2018/16, Free University Berlin, School of Business & Economics.
    7. Ciccarelli, Matteo & Osbat, Chiara, 2017. "Low inflation in the euro area: Causes and consequences," Occasional Paper Series 181, European Central Bank.
    8. Jakob de Haan & Marco Hoeberichts & Renske Maas & Federica Teppa, 2016. "Inflation in the euro area and why it matters," DNB Occasional Studies 1403, Netherlands Central Bank, Research Department.

    More about this item

    Keywords

    inflation; expectations; forecasting; swaps; surveys; market; professional forecasters Journal: International Journal of Financial Research;

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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