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Forecasting Inflation via Experimental Stock Markets Some Results from Pilot Markets

Author

Listed:
  • Michael Berlemann
  • Forrest Nelson

Abstract

While there are various techniques of inflation forecasting in use, none of them has proved to deliver consistently more accurate forecasts than the others. That is why most users of inflation forecasts monitor a variety of inflation indicators and forecasts and check them for consistency. This paper aims at contributing to an extension of the methods in use. We propose to conduct experimental inflation forecasting markets in order to uncover market participants' inflation expectations. While the markets directly deliver density forecasts of inflation they also allow to construct mean forecasts and a measure of forecast uncertainty. We also present evidence from a number of pilot markets underlining that the proposed method might enrich the arsenal of existing forecasting techniques.

Suggested Citation

  • Michael Berlemann & Forrest Nelson, 2005. "Forecasting Inflation via Experimental Stock Markets Some Results from Pilot Markets," ifo Working Paper Series 10, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    • Handle: RePEc:ces:ifowps:_10
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    References listed on IDEAS

    as
    1. Sharon Kozicki, 2001. "Why do central banks monitor so many inflation indicators?," Economic Review, Federal Reserve Bank of Kansas City, vol. 86(Q III), pages 5-42.
    2. Neil R. Ericsson, 2001. "Forecast uncertainty in economic modeling," International Finance Discussion Papers 697, Board of Governors of the Federal Reserve System (U.S.).
    3. Stephen A. Ross, 2013. "The Arbitrage Theory of Capital Asset Pricing," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 1, pages 11-30, World Scientific Publishing Co. Pte. Ltd..
    4. Donald Coletti & Benjamin Hunt & David Rose & Robert Tetlow, 1996. "The Bank of Canada's New Quarterly Projection Model. Part 3 , the Dynamic Model : QPM," Technical Reports 75, Bank of Canada.
    5. Berlemann, Michael & Schmidt, Carsten, 2001. "Predictive accuracy of political stock markets: Empirical evidence from a European perspective," SFB 373 Discussion Papers 2001,57, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    6. Thompson, Patrick A & Miller, Robert B, 1986. "Sampling the Future: A Bayesian Approach to Forecasting from Univariate Time Series Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(4), pages 427-436, October.
    7. Svensson, Lars E. O., 1997. "Inflation forecast targeting: Implementing and monitoring inflation targets," European Economic Review, Elsevier, vol. 41(6), pages 1111-1146, June.
    8. Sunder, Shyam, 1992. "Market for Information: Experimental Evidence," Econometrica, Econometric Society, vol. 60(3), pages 667-695, May.
    9. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    10. Stephen S. Poloz & David Rose & Robert Tetlow, 1994. "The Bank of Canada's new Quarterly Projection Model (QPM): An introduction," Bank of Canada Review, Bank of Canada, vol. 1994(Autumn), pages 23-38.
    11. Hallman, Jeffrey J & Porter, Richard D & Small, David H, 1991. "Is the Price Level Tied to the M2 Monetary Aggregate in the Long Run?," American Economic Review, American Economic Association, vol. 81(4), pages 841-858, September.
    12. Ellis W. Tallman, 1995. "Inflation and inflation forecasting: an introduction," Economic Review, Federal Reserve Bank of Atlanta, vol. 80(Jan), pages 13-27.
    13. Mishkin, Frederic S., 1990. "What does the term structure tell us about future inflation?," Journal of Monetary Economics, Elsevier, vol. 25(1), pages 77-95, January.
    14. Forsythe, Robert & Rietz, Thomas A. & Ross, Thomas W., 1999. "Wishes, expectations and actions: a survey on price formation in election stock markets," Journal of Economic Behavior & Organization, Elsevier, vol. 39(1), pages 83-110, May.
    15. H. Bakhshi & G. Kapetanios & T. Yates, 2005. "Rational expectations and fixed-event forecasts: An application to UK inflation," Empirical Economics, Springer, vol. 30(3), pages 539-553, October.
    16. Michael Berlemann & Kalina Dimitrova & Nikolay Nenovsky, 2000. "Assessing Market Expectations on Exchange Rates and Inflation: A Pilot Forecasting System for Bulgaria," William Davidson Institute Working Papers Series wp759, William Davidson Institute at the University of Michigan.
    17. Jonas D. M. Fisher & Chin Te Liu & Ruilin Zhou, 2002. "When can we forecast inflation?," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 26(Q I), pages 32-44.
    18. Lovell, Michael C & Vogel, Robert C, 1973. "A CPI-Futures Market," Journal of Political Economy, University of Chicago Press, vol. 81(4), pages 1009-1012, July-Aug..
    19. Fama, Eugene F, 1975. "Short-Term Interest Rates as Predictors of Inflation," American Economic Review, American Economic Association, vol. 65(3), pages 269-282, June.
    20. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1983. "Forecasting and Conditional Projection Using Realistic Prior Distributions," NBER Working Papers 1202, National Bureau of Economic Research, Inc.
    21. Clements,Michael & Hendry,David, 1998. "Forecasting Economic Time Series," Cambridge Books, Cambridge University Press, number 9780521634809, January.
    22. Lars E. O. Svensson, 1999. "Inflation Targeting: Some Extensions," Scandinavian Journal of Economics, Wiley Blackwell, vol. 101(3), pages 337-361, September.
    23. Roy H. Webb, 1999. "Two approaches to macroeconomic forecasting," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 23-40.
    24. Dean Croushore, 1996. "Inflation forecasts: how good are they?," Business Review, Federal Reserve Bank of Philadelphia, issue May, pages 15-25.
    25. Litterman, Robert, 1986. "Forecasting with Bayesian vector autoregressions -- Five years of experience : Robert B. Litterman, Journal of Business and Economic Statistics 4 (1986) 25-38," International Journal of Forecasting, Elsevier, vol. 2(4), pages 497-498.
    26. Karl-Heinz Tödter & Hans-Eggert Reimers, 1994. "P-Star as a link between money and prices in Germany," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 130(2), pages 273-289, June.
    27. Andrew Atkeson & Lee E. Ohanian, 2001. "Are Phillips curves useful for forecasting inflation?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 25(Win), pages 2-11.
    28. Eichberger, Jurgen & Harper, Ian R., 1997. "Financial Economics," OUP Catalogue, Oxford University Press, number 9780198775409.
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    Cited by:

    1. Michael Berlemann & Kalina Dimitrova & Nikolay Nenovsky, 2000. "Assessing Market Expectations on Exchange Rates and Inflation: A Pilot Forecasting System for Bulgaria," William Davidson Institute Working Papers Series wp759, William Davidson Institute at the University of Michigan.
    2. Stefan Günnel & Karl-Heinz Tödter, 2009. "Does Benford’s Law hold in economic research and forecasting?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 36(3), pages 273-292, August.
    3. Pfajfar, D. & Zakelj, B., 2011. "Inflation Expectations and Monetary Policy Design : Evidence from the Laboratory (Replaces CentER DP 2009-007)," Discussion Paper 2011-091, Tilburg University, Center for Economic Research.
    4. Pfajfar, Damjan & Žakelj, Blaž, 2014. "Experimental evidence on inflation expectation formation," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 147-168.

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    More about this item

    JEL classification:

    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • F15 - International Economics - - Trade - - - Economic Integration
    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions

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