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Makrooekonomische Nachrichten und die Reaktion des 15-Sekunden-DAX: Eine Ereignisstudie zur Wirkung der ZEW-Konjunkturprognose

  • Horst Entorf



  • Christian Steiner


    (Frankfurt am Main)

We study the response of the German stock market index DAX to the announcement of macroeconomic business cycle forecasts. Retunrs are computed using high-frequency data observed for 15-second intervals. Publications of macroeconomic US indicators at 2:30 p.m. (CET) have temporary and opening of the New York Stock Exchange at 3:30 p.m. (CET) have permanent effects on the volatility of the German DAX. Moreover, the intraday volatility of the DAX index has a U-Shaped form, which has also been identified for other international stock markets. Major reactions of both returns and volatility occur within the first 15 to 60 seconds after the announcement, revealing a high efficiency of the German capital market. Unanticipated shocks cause asymmetric stock market returns: "good" news lead to more pronounced reactions than "bad" news. Moreover, there is evidence of mean reversion and calm-before-the storm effects. Finally, serial correlation of returns is found to be a potentially spurious result of non-anticipated announcements of macroeconomic news.

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Article provided by Justus-Liebig University Giessen, Department of Statistics and Economics in its journal Journal of Economics and Statistics.

Volume (Year): 227 (2007)
Issue (Month): 1 (February)
Pages: 3-26

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Handle: RePEc:jns:jbstat:v:227:y:2007:i:1:p:3-26
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  1. John H. Cochrane & Monika Piazzesi, 2002. "The Fed and Interest Rates: A High-Frequency Identification," NBER Working Papers 8839, National Bureau of Economic Research, Inc.
  2. Nikolaus Hautsch & Dieter Hess, 2002. "The processing of non-anticipated information in financial markets: Analyzing the impact of surprises in the employment report," CoFE Discussion Paper 02-06, Center of Finance and Econometrics, University of Konstanz.
  3. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Vega, Clara, 2002. "Micro Effects of Macro Announcements: Real-Time Price Discovery in Foreign Exchange," Working Papers 02-16, Duke University, Department of Economics.
  4. Shin-Juh Lin & Jian Yang, 2000. "Examining Intraday Returns with Buy/Sell Information," Research Paper Series 38, Quantitative Finance Research Centre, University of Technology, Sydney.
  5. Scholes, Myron & Williams, Joseph, 1977. "Estimating betas from nonsynchronous data," Journal of Financial Economics, Elsevier, vol. 5(3), pages 309-327, December.
  6. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
  7. Lease, Ronald C & Masulis, Ronald W & Page, John R, 1991. " An Investigation of Market Microstructure Impacts on Event Study Returns," Journal of Finance, American Finance Association, vol. 46(4), pages 1523-36, September.
  8. Roberto Rigobon & Brian P. Sack, 2002. "The impact of monetary policy on asset prices," Finance and Economics Discussion Series 2002-4, Board of Governors of the Federal Reserve System (U.S.).
  9. Ben S. Bernanke & Kenneth N. Kuttner, 2004. "What Explains the Stock Market's Reaction to Federal Reserve Policy?," NBER Working Papers 10402, National Bureau of Economic Research, Inc.
  10. Ray Fair, 2003. "Events that Shook the Market," Yale School of Management Working Papers ysm307, Yale School of Management.
  11. David H. Cutler & James M. Poterba & Lawrence H. Summers, 1988. "What Moves Stock Prices?," Working papers 487, Massachusetts Institute of Technology (MIT), Department of Economics.
  12. Charles M. Jones & Owen Lamont & Robin Lumsdaine, 1996. "Macroeconomic News and Bond Market Volatility," Home Pages _005, Princeton University, Department of Economics.
  13. Berry, Thomas D & Howe, Keith M, 1994. " Public Information Arrival," Journal of Finance, American Finance Association, vol. 49(4), pages 1331-46, September.
  14. Douglas K. Pearce & V. Vance Roley, 1984. "Stock Prices and Economic News," NBER Working Papers 1296, National Bureau of Economic Research, Inc.
  15. Goodhart, Charles A. E. & O'Hara, Maureen, 1997. "High frequency data in financial markets: Issues and applications," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 73-114, June.
  16. Magnus Andersson & Lars Jul Overby & Szabolcs Sebestyén, 2009. "Which News Moves the Euro Area Bond Market?," German Economic Review, Verein für Socialpolitik, vol. 10, pages 1-31, 02.
  17. Schwert, G William, 1981. "The Adjustment of Stock Prices to Information about Inflation," Journal of Finance, American Finance Association, vol. 36(1), pages 15-29, March.
  18. Brown, Stephen J. & Warner, Jerold B., 1985. "Using daily stock returns : The case of event studies," Journal of Financial Economics, Elsevier, vol. 14(1), pages 3-31, March.
  19. Andersen, Torben G, 1996. " Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic Volatility," Journal of Finance, American Finance Association, vol. 51(1), pages 169-204, March.
  20. McQueen, Grant & Roley, V Vance, 1993. "Stock Prices, News, and Business Conditions," Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 683-707.
  21. 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, 04.
  22. 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.
  23. Felix Hüfner & Michael Schröder, 2002. "Prognosegehalt von ifo-Geschäftserwartungen und ZEW-Konjunkturerwartungen: Ein ökonometrischer Vergleich," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 222(3), pages 316-336.
  24. Evans, Martin D.D. & Lyons, Richard K., 2008. "How is macro news transmitted to exchange rates?," Journal of Financial Economics, Elsevier, vol. 88(1), pages 26-50, April.
  25. Ederington, Louis H & Lee, Jae Ha, 1993. " How Markets Process Information: News Releases and Volatility," Journal of Finance, American Finance Association, vol. 48(4), pages 1161-91, September.
  26. Wu, Chunchi & Xu, Xiaoqing Eleanor, 2000. " Return Volatility, Trading Imbalance and the Information Content of Volume," Review of Quantitative Finance and Accounting, Springer, vol. 14(2), pages 131-53, March.
  27. Fama, Eugene F, et al, 1969. "The Adjustment of Stock Prices to New Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 10(1), pages 1-21, February.
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