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Inflation Risk Premia and Survey Evidence on Macroeconomic Uncertainty

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  • Paul Söderlind

    (University of St. Gallen and CEPR)

Abstract

The difference between nominal and real interest rates (break-even inflation) is often used to gauge the market’s inflation expectations—and has become an important tool in monetary policy analysis. However, break-even inflation can move in response to shifts in inflation risk premia and liquidity premia as well as to changes in expected inflation. This paper sheds light on this issue by analyzing the evolution of U.S. break-even inflation from 1997 to mid-2008. Regression results show that survey data on inflation uncertainty and proxies for liquidity premia are important factors.

Suggested Citation

  • Paul Söderlind, 2011. "Inflation Risk Premia and Survey Evidence on Macroeconomic Uncertainty," International Journal of Central Banking, International Journal of Central Banking, vol. 7(2), pages 113-133, June.
    • Handle: RePEc:ijc:ijcjou:y:2011:q:2:a:4
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    Cited by:

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    2. Dick, Christian D. & Schmeling, Maik & Schrimpf, Andreas, 2013. "Macro-expectations, aggregate uncertainty, and expected term premia," European Economic Review, Elsevier, vol. 58(C), pages 58-80.
    3. Karahan, Cenk C. & Soykök, Emre, 2023. "On illiquidity of an emerging sovereign bond market," Economic Systems, Elsevier, vol. 47(2).
    4. Nunes, Clemens Vinicius & Doi, Jonas & Fernandes, Marcelo, 2017. "Disagreement in Inflation Forecasts and Inflation Risk Premia in Brazil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 37(1), May.
    5. Montes, Gabriel Caldas & Nicolay, Rodolfo Tomás da Fonseca & Acar, Tatiana, 2019. "Do fiscal communication and clarity of fiscal announcements affect public debt uncertainty? Evidence from Brazil," Journal of Economics and Business, Elsevier, vol. 103(C), pages 38-60.
    6. Flávio de Freitas Val & Gustavo Silva Araujo, 2022. "Breakeven Inflation Rate Estimation: an alternative approach considering indexation lag and seasonality," Working Papers Series 493, Central Bank of Brazil, Research Department.
    7. Felix Geiger & Oliver Sauter & Kai D. Schmid, 2009. "The Camp View of Inflation Forecasts," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 320/2009, Department of Economics, University of Hohenheim, Germany.
    8. Madalina-Gabriela Anghel & Maria Mirea & Alexandru Badiu, 2018. "Analysis of the Main Aspects Regarding the Price Indices Applied in the Determination of Inflation," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 8(2), pages 28-36, April.
    9. Montes, Gabriel Caldas & Luna, Paulo Henrique, 2018. "Discretionary fiscal policy and disagreement in expectations about fiscal variables empirical evidence from Brazil," Economic Modelling, Elsevier, vol. 73(C), pages 100-116.
    10. Strohsal, Till & Winkelmann, Lars, 2015. "Assessing the anchoring of inflation expectations," Journal of International Money and Finance, Elsevier, vol. 50(C), pages 33-48.
    11. Sauter, Oliver, 2012. "Assessing uncertainty in Europe and the US: is there a common uncertainty factor?," MPRA Paper 38031, University Library of Munich, Germany.
    12. Pedersen, Michael, 2019. "Anomalies in macroeconomic prediction errors–evidence from Chilean private forecasters," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1100-1107.
    13. Kurt G. Lunsford, 2020. "Policy Language and Information Effects in the Early Days of Federal Reserve Forward Guidance," American Economic Review, American Economic Association, vol. 110(9), pages 2899-2934, September.
    14. Gabriel Caldas Montes & Igor Mendes Marcelino, 2023. "Uncertainties and disagreements in expectations of professional forecasters: Evidence from an inflation targeting developing country," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 937-956, July.
    15. Glas, Alexander, 2020. "Five dimensions of the uncertainty–disagreement linkage," International Journal of Forecasting, Elsevier, vol. 36(2), pages 607-627.
    16. Kajuth, Florian & Watzka, Sebastian, 2011. "Inflation expectations from index-linked bonds: Correcting for liquidity and inflation risk premia," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(3), pages 225-235, June.
    17. Agnieszka M. Chomicz-Grabowska & Lucjan T. Orlowski, 2020. "Financial market risk and macroeconomic stability variables: dynamic interactions and feedback effects," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(4), pages 655-669, October.
    18. Urszula Szcserbowicz, 2011. "Are unconventional monetary policies effective?," Documents de Travail de l'OFCE 2011-15, Observatoire Francais des Conjonctures Economiques (OFCE).
    19. Orlowski, Lucjan T. & Soper, Carolyne, 2019. "Market risk and market-implied inflation expectations," International Review of Financial Analysis, Elsevier, vol. 66(C).
    20. Gabriel Caldas Montes & Paulo Henrique Lourenço Luna, 2022. "Do fiscal opacity, fiscal impulse, and fiscal credibility affect disagreement about economic growth forecasts? Empirical evidence from Brazil considering the period of political instability and presid," Review of Development Economics, Wiley Blackwell, vol. 26(4), pages 2356-2393, November.
    21. Orlowski, Lucjan T., 2017. "Volatility of commodity futures prices and market-implied inflation expectations," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 133-141.

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    More about this item

    JEL classification:

    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications

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