IDEAS home Printed from https://ideas.repec.org/p/fip/fedgfe/2015-46.html
   My bibliography  Save this paper

Is the Intrinsic Value of Macroeconomic News Announcements Related to their Asset Price Impact?

Author

Abstract

The literature documents a heterogeneous asset price response to macroeconomic news announcements. We explain this variation with a novel measure of the intrinsic value of an announcement - the announcement's ability to nowcast GDP growth, inflation, and the Federal Funds Target Rate-and decompose it into the announcement's relation to fundamentals, a timeliness premium, and a revision premium. We find that differences in intrinsic value can explain a significant fraction of the variation in the announcements' price impact on Treasury bond yields. The announcements' timeliness and relation to fundamentals are the most important characteristics in explaining this variation.

Suggested Citation

  • Thomas Gilbert & Chiara Scotti & Georg Strasser & Clara Vega, 2015. "Is the Intrinsic Value of Macroeconomic News Announcements Related to their Asset Price Impact?," Finance and Economics Discussion Series 2015-46, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgfe:2015-46
    DOI: 10.17016/FEDS.2015.046r1
    as

    Download full text from publisher

    File URL: https://www.federalreserve.gov/econresdata/feds/2015/files/2015046r1pap.pdf
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.17016/FEDS.2015.046r1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ben S. Bernanke & Kenneth N. Kuttner, 2005. "What Explains the Stock Market's Reaction to Federal Reserve Policy?," Journal of Finance, American Finance Association, vol. 60(3), pages 1221-1257, June.
    2. Pietro Veronesi, 2000. "How Does Information Quality Affect Stock Returns?," Journal of Finance, American Finance Association, vol. 55(2), pages 807-837, April.
    3. Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2008. "Nowcasting: The real-time informational content of macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 665-676, May.
    4. Bacchetta, Philippe & van Wincoop, Eric, 2013. "On the unstable relationship between exchange rates and macroeconomic fundamentals," Journal of International Economics, Elsevier, vol. 91(1), pages 18-26.
    5. Kim, O & Verrecchia, Re, 1991. "Trading Volume And Price Reactions To Public Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 29(2), pages 302-321.
    6. Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013. "Now-Casting and the Real-Time Data Flow," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 195-237, Elsevier.
    7. James D. Hamilton & Oscar Jorda, 2002. "A Model of the Federal Funds Rate Target," Journal of Political Economy, University of Chicago Press, vol. 110(5), pages 1135-1167, October.
    8. Beechey, Meredith J. & Wright, Jonathan H., 2009. "The high-frequency impact of news on long-term yields and forward rates: Is it real?," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 535-544, May.
    9. Hautsch, Nikolaus & Hess, Dieter, 2007. "Bayesian Learning in Financial Markets: Testing for the Relevance of Information Precision in Price Discovery," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 42(1), pages 189-208, March.
    10. Dean Croushore, 2011. "Frontiers of Real-Time Data Analysis," Journal of Economic Literature, American Economic Association, vol. 49(1), pages 72-100, March.
    11. Martin D. D. Evans, 2005. "Where Are We Now? Real-Time Estimates of the Macroeconomy," International Journal of Central Banking, International Journal of Central Banking, vol. 1(2), September.
    12. Leonardo Bartolini & Linda S. Goldberg & Adam Sacarny, 2008. "How economic news moves markets," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 14(Aug).
    13. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Clara Vega, 2003. "Micro Effects of Macro Announcements: Real-Time Price Discovery in Foreign Exchange," American Economic Review, American Economic Association, vol. 93(1), pages 38-62, March.
    14. 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.
    15. Linda S. Goldberg & Christian Grisse, 2013. "Time Variation in Asset Price Responses to Macro Announcements," NBER Working Papers 19523, National Bureau of Economic Research, Inc.
    16. Kandel, Eugene & Pearson, Neil D, 1995. "Differential Interpretation of Public Signals and Trade in Speculative Markets," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 831-872, August.
    17. Gilbert, Thomas, 2011. "Information aggregation around macroeconomic announcements: Revisions matter," Journal of Financial Economics, Elsevier, vol. 101(1), pages 114-131, July.
    18. John H. Boyd & Jian Hu & Ravi Jagannathan, 2005. "The Stock Market's Reaction to Unemployment News: Why Bad News Is Usually Good for Stocks," Journal of Finance, American Finance Association, vol. 60(2), pages 649-672, April.
    19. Athanasios Orphanides, 2001. "Monetary Policy Rules Based on Real-Time Data," American Economic Review, American Economic Association, vol. 91(4), pages 964-985, September.
    20. Michael J. Fleming & Eli M. Remolona, 1997. "What moves the bond market?," Economic Policy Review, Federal Reserve Bank of New York, vol. 3(Dec), pages 31-50.
    21. Balduzzi, Pierluigi & Elton, Edwin J. & Green, T. Clifton, 2001. "Economic News and Bond Prices: Evidence from the U.S. Treasury Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(4), pages 523-543, December.
    22. Refet S. Gürkaynak & Brian Sack & Eric Swanson, 2005. "The Sensitivity of Long-Term Interest Rates to Economic News: Evidence and Implications for Macroeconomic Models," American Economic Review, American Economic Association, vol. 95(1), pages 425-436, March.
    23. Dieter Hess, 2004. "Determinants of the relative price impact of unanticipated information in U.S. macroeconomic releases," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(7), pages 609-629, July.
    24. Koopman, Siem Jan & Harvey, Andrew, 2003. "Computing observation weights for signal extraction and filtering," Journal of Economic Dynamics and Control, Elsevier, vol. 27(7), pages 1317-1333, May.
    25. Lutz Kilian & Clara Vega, 2011. "Do Energy Prices Respond to U.S. Macroeconomic News? A Test of the Hypothesis of Predetermined Energy Prices," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 660-671, May.
    26. Almeida, Alvaro & Goodhart, Charles & Payne, Richard, 1998. "The Effects of Macroeconomic News on High Frequency Exchange Rate Behavior," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 33(3), pages 383-408, September.
    27. Faust, Jon & Rogers, John H. & Wang, Shing-Yi B. & Wright, Jonathan H., 2007. "The high-frequency response of exchange rates and interest rates to macroeconomic announcements," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1051-1068, May.
    28. Lapp, John S. & Pearce, Douglas K., 2012. "The impact of economic news on expected changes in monetary policy," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 362-379.
    29. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Vega, Clara, 2007. "Real-time price discovery in global stock, bond and foreign exchange markets," Journal of International Economics, Elsevier, vol. 73(2), pages 251-277, November.
    30. Michael Ehrmann & David Sondermann, 2012. "The News Content of Macroeconomic Announcements: What if Central Bank Communication Becomes Stale?," International Journal of Central Banking, International Journal of Central Banking, vol. 8(3), pages 1-53, September.
    31. Linda S. Goldberg & Deborah Leonard, 2003. "What moves sovereign bond markets? The effects of economic news on U.S. and German yields," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 9(Sep).
    32. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December.
    33. Bekaert, Geert & Engstrom, Eric, 2010. "Inflation and the stock market: Understanding the "Fed Model"," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 278-294, April.
    34. Torben G. Andersen & Tim Bollerslev, 1998. "Deutsche Mark-Dollar Volatility: Intraday Activity Patterns, Macroeconomic Announcements, and Longer Run Dependencies," Journal of Finance, American Finance Association, vol. 53(1), pages 219-265, February.
    35. Dieter Hess & Alexandra Niessen, 2010. "The early news catches the attention: On the relative price impact of similar economic indicators," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(10), pages 909-937, October.
    36. Ehrmann, Michael & Fratzscher, Marcel, 2004. "Taking stock: monetary policy transmission to equity markets," Working Paper Series 354, European Central Bank.
    37. Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2005. "Nowcasting GDP and Inflation: The Real Time Informational Content of Macroeconomic Data Releases," CEPR Discussion Papers 5178, C.E.P.R. Discussion Papers.
    38. Ehrmann, Michael & Fratzscher, Marcel, 2005. "Exchange rates and fundamentals: new evidence from real-time data," Journal of International Money and Finance, Elsevier, vol. 24(2), pages 317-341, March.
    39. Mark J. Flannery & Aris A. Protopapadakis, 2002. "Macroeconomic Factors Do Influence Aggregate Stock Returns," Review of Financial Studies, Society for Financial Studies, vol. 15(3), pages 751-782.
    40. Bray,Francesca & Coclanis,Peter A. & Fields-Black,Edda L. & Schäfer,Dagmar (ed.), 2015. "Rice," Cambridge Books, Cambridge University Press, number 9781107044395.
    41. Michael J. Fleming & Eli M. Remolona, 1999. "Price Formation and Liquidity in the U.S. Treasury Market: The Response to Public Information," Journal of Finance, American Finance Association, vol. 54(5), pages 1901-1915, October.
    42. Jennie Bai & Eric Ghysels & Jonathan H. Wright, 2013. "State Space Models and MIDAS Regressions," Econometric Reviews, Taylor & Francis Journals, vol. 32(7), pages 779-813, October.
    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. 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.
    2. 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.
    3. repec:ecb:ecbrbu:2017:0037:1 is not listed on IDEAS
    4. 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.
    5. 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.
    6. Andreas Neuhierl & Michael Weber, 2016. "Monetary Policy and the Stock Market: Time-Series Evidence," NBER Working Papers 22831, National Bureau of Economic Research, Inc.
    7. 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.
    8. Francis, Bill B. & Hunter, Delroy M. & Kelly, Patrick J., 2020. "Do foreign investors insulate firms from local shocks? Evidence from the response of investable firms to monetary policy," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 386-411.
    9. 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.
    10. Adrian Cantemir CĂLIN & Radu LUPU, 2016. "The Effects Of Labor Market News On International Financial Markets," Romanian Economic Business Review, Romanian-American University, vol. 11(2), pages 207-215, June.
    11. 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.
    12. 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.
    13. Gau, Yin-Feng & Wu, Zhen-Xing, 2017. "Macroeconomic announcements and price discovery in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 232-254.
    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.
    15. John B. Broughton & Bento J. Lobo, 2018. "Herding and anchoring in macroeconomic forecasts: the case of the PMI," Empirical Economics, Springer, vol. 55(3), pages 1337-1355, November.
    16. Andreas Neuhierl & Michael Weber, 2016. "Monetary Policy and the Stock Market: Time-Series Evidence," NBER Working Papers 22831, National Bureau of Economic Research, Inc.
    17. 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.).
    18. 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.
    19. Strasser, Georg, 2017. "What determines the impact of macroeconomic news on asset markets?," Research Bulletin, European Central Bank, vol. 37.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gilbert, Thomas & Scotti, Chiara & Strasser, Georg & Vega, Clara, 2017. "Is the intrinsic value of a macroeconomic news announcement related to its asset price impact?," Journal of Monetary Economics, Elsevier, vol. 92(C), pages 78-95.
    2. Lyócsa, Štefan & Molnár, Peter & Plíhal, Tomáš, 2019. "Central bank announcements and realized volatility of stock markets in G7 countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 117-135.
    3. Michael Ehrmann & Marcel Fratzscher & Roberto Rigobon, 2011. "Stocks, bonds, money markets and exchange rates: measuring international financial transmission," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(6), pages 948-974, September.
    4. Caruso, Alberto, 2019. "Macroeconomic news and market reaction: Surprise indexes meet nowcasting," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1725-1734.
    5. Marcello Pericoli & Giovanni Veronese, 2015. "Forecaster heterogeneity, surprises and financial markets," Temi di discussione (Economic working papers) 1020, Bank of Italy, Economic Research and International Relations Area.
    6. Hautsch, Nikolaus & Hess, Dieter & Müller, Christoph, 2012. "Price adjustment to news with uncertain precision," Journal of International Money and Finance, Elsevier, vol. 31(2), pages 337-355.
    7. Gilbert, Thomas, 2011. "Information aggregation around macroeconomic announcements: Revisions matter," Journal of Financial Economics, Elsevier, vol. 101(1), pages 114-131, July.
    8. Kurov, Alexander & Stan, Raluca, 2018. "Monetary policy uncertainty and the market reaction to macroeconomic news," Journal of Banking & Finance, Elsevier, vol. 86(C), pages 127-142.
    9. Linda S. Goldberg & Christian Grisse, 2013. "Time variation in asset price responses to macro announcements," Working Papers 2013-11, Swiss National Bank.
    10. Dungey, Mardi & McKenzie, Michael & Smith, L. Vanessa, 2009. "Empirical evidence on jumps in the term structure of the US Treasury Market," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 430-445, June.
    11. Chan, Kam Fong & Chhagan, Mahesh & Marsden, Alastair, 2017. "Cross-border scheduled macroeconomic news impacts: Evidence from high-frequency Asia Pacific currencies," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 37-54.
    12. Lyócsa, Štefan & Molnár, Peter & Plíhal, Tomáš & Širaňová, Mária, 2020. "Impact of macroeconomic news, regulation and hacking exchange markets on the volatility of bitcoin," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    13. Santos, Francisco Luna & Garcia, Márcio Gomes Pinto & Medeiros, Marcelo Cunha, 2016. "The High Frequency Impact of Macroeconomic Announcements in the Brazilian Futures Markets," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 36(2), November.
    14. Marcio Garcia & Marcelo Medeiros & Francisco Eduardo de Luna e Almeida Santos, 2014. "The impact of macroeconomic announcements in the Brazilian futures markets," Textos para discussão 623, Department of Economics PUC-Rio (Brazil).
    15. Nowak, Sylwia & Andritzky, Jochen & Jobst, Andreas & Tamirisa, Natalia, 2011. "Macroeconomic fundamentals, price discovery, and volatility dynamics in emerging bond markets," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2584-2597, October.
    16. Nowak, Sylwia & Anderson, Heather M., 2014. "How does public information affect the frequency of trading in airline stocks?," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 26-38.
    17. Roberto Rigobon & Brian Sack, 2008. "Noisy Macroeconomic Announcements, Monetary Policy, and Asset Prices," NBER Chapters, in: Asset Prices and Monetary Policy, pages 335-370, National Bureau of Economic Research, Inc.
    18. Laakkonen Helinä & Lanne Markku, 2009. "Asymmetric News Effects on Exchange Rate Volatility: Good vs. Bad News in Good vs. Bad Times," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(1), pages 1-38, December.
    19. Faust, Jon & Rogers, John H. & Wang, Shing-Yi B. & Wright, Jonathan H., 2007. "The high-frequency response of exchange rates and interest rates to macroeconomic announcements," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1051-1068, May.
    20. Smales, L.A., 2021. "Macroeconomic news and treasury futures return volatility: Do treasury auctions matter?," Global Finance Journal, Elsevier, vol. 48(C).

    More about this item

    Keywords

    Macroeconomic announcements; Price discovery; Learning; Forecasting; Now-casting;
    All these keywords.

    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
    • 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
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fip:fedgfe:2015-46. 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: . General contact details of provider: https://edirc.repec.org/data/frbgvus.html .

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (email available below). General contact details of provider: https://edirc.repec.org/data/frbgvus.html .

    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.