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Is the intrinsic value of macroeconomic news announcements related to their asset price impact?

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  • Gilbert, Thomas
  • Scotti, Chiara
  • Strasser, Georg
  • Vega, Clara

Abstract

The literature documents a heterogeneous asset price response to macroeconomic news announcements: Some announcements have a strong impact on asset prices and others do not. In order to explain these differences, we estimate a novel measure of the intrinsic value of a macroeconomic announcement, which we define as the announcement's ability to nowcast GDP growth, inflation, and the Federal Funds Target Rate. Using the same nowcasting framework, we then decompose this intrinsic value into the announcement's characteristics: its relation to fundamentals, timing, and revision noise. We find that in the 1998 JEL Classification: G14, E44

Suggested Citation

  • Gilbert, Thomas & Scotti, Chiara & Strasser, Georg & Vega, Clara, 2016. "Is the intrinsic value of macroeconomic news announcements related to their asset price impact?," Working Paper Series 1882, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20161882
    Note: 1137785
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    Cited by:

    1. repec:ecb:ecbrbu:2017:0037:1 is not listed on IDEAS
    2. Yang-Ho Park, 2019. "Information in Yield Spread Trades," Finance and Economics Discussion Series 2019-025, Board of Governors of the Federal Reserve System (U.S.), revised 12 Apr 2019.
    3. Kurov, Alexander & Sancetta, Alessio & Strasser, Georg & Wolfe, Marketa Halova, 2019. "Price Drift Before U.S. Macroeconomic News: Private Information about Public Announcements?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(1), pages 449-479, February.
    4. Andreas Neuhierl & Michael Weber & Michael Weber, 2016. "Monetary Policy and the Stock Market: Time-Series Evidence," CESifo Working Paper Series 6199, CESifo.
    5. Michael W. McCracken & Michael T. Owyang & Tatevik Sekhposyan, 2015. "Real-Time Forecasting and Scenario Analysis using a Large Mixed-Frequency Bayesian VAR," Working Papers 2015-030, Federal Reserve Bank of St. Louis, revised 10 Apr 2020.
    6. Kočenda, Evžen & Moravcová, Michala, 2018. "Intraday effect of news on emerging European forex markets: An event study analysis," Economic Systems, Elsevier, vol. 42(4), pages 597-615.
    7. Altavilla, Carlo & Giannone, Domenico & Modugno, Michele, 2017. "Low frequency effects of macroeconomic news on government bond yields," Journal of Monetary Economics, Elsevier, vol. 92(C), pages 31-46.
    8. Frankel, Jeffrey & Saiki, Ayako, 2016. "Does It Matter If Statistical Agencies Frame the Month's CPI Report on a 1-Month or 12-Month Basis?," Working Paper Series 16-011, Harvard University, John F. Kennedy School of Government.
    9. Scotti, Chiara, 2016. "Surprise and uncertainty indexes: Real-time aggregation of real-activity macro-surprises," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 1-19.
    10. Strasser, Georg, 2017. "What determines the impact of macroeconomic news on asset markets?," Research Bulletin, European Central Bank, vol. 37.
    11. Ehrmann, Michael & Talmi, Jonathan, 2020. "Starting from a blank page? Semantic similarity in central bank communication and market volatility," Journal of Monetary Economics, Elsevier, vol. 111(C), pages 48-62.
    12. Ben Omrane, Walid & Savaşer, Tanseli, 2017. "Exchange rate volatility response to macroeconomic news during the global financial crisis," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 130-143.
    13. Clements, Michael P. & Galvão, Ana Beatriz, 2017. "Model and survey estimates of the term structure of US macroeconomic uncertainty," International Journal of Forecasting, Elsevier, vol. 33(3), pages 591-604.
    14. Tseke Maserumule & Paul Alagidede, 2017. "Impact of Macroeconomic Announcements on Foreign Exchange Volatility: Evidence from South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 85(3), pages 405-429, September.
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    More about this item

    Keywords

    coordination role of public information; learning; macroeconomic announcements; macroeconomic forecasting; price discovery;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • G1 - Financial Economics - - General Financial Markets

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