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Analysis of Macroeconomic Events Impact Using the Event Study Methodology

Author

Listed:
  • Radu LUPU

    (Romanian Academy, Institute for Economic Forecasting)

  • Alexandra MATEESCU

    (Romanian Academy, Institute for Economic Forecasting)

  • Mihai MITRACHE

    (Romanian Academy, Institute for Economic Forecasting)

Abstract

This article examines the impact of the most important macroeconomic events form Eurozone on the returns of financial assets such as exchange rates, stock market indexes, swap and futures contracts. By applying the event study methodology, we computed the abnormal square returns. Results have demonstrated that events with the highest impact were macroeconomic indicator announcements like consumer price index, unemployment rate and interest rate communication by the European Central Bank.

Suggested Citation

  • Radu LUPU & Alexandra MATEESCU & Mihai MITRACHE, 2017. "Analysis of Macroeconomic Events Impact Using the Event Study Methodology," Hyperion Economic Journal, Faculty of Economic Sciences, Hyperion University of Bucharest, Romania, vol. 5(2), pages 3-13, June.
    • Handle: RePEc:hyp:journl:v:5:y:2017:i:2:p:3-13
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    References listed on IDEAS

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    1. repec:fth:prinin:367 is not listed on IDEAS
    2. 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.
    3. 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 1161-1191, September.
    4. T. Clifton Green, 2004. "Economic News and the Impact of Trading on Bond Prices," Journal of Finance, American Finance Association, vol. 59(3), pages 1201-1234, June.
    5. 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.
    6. Ole E. Barndorff-Nielsen, 2004. "Power and Bipower Variation with Stochastic Volatility and Jumps," Journal of Financial Econometrics, Oxford University Press, vol. 2(1), pages 1-37.
    7. Alan B. Krueger & Kenneth N. Fortson, 2003. "Do Markets Respond More to More Reliable Labor Market Data? A Test of Market Rationality," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 931-957, June.
    8. Alan Krueger, 1996. "Do Markets Respond More To More Reliable Labor Market Data? A Test of Market Rationality," Working Papers 746, Princeton University, Department of Economics, Industrial Relations Section..
    9. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    10. 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.
    11. 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.
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    More about this item

    Keywords

    event study; macroeconomic events; high frequency data;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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