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What drives the market value of firms in the defense industry


  • Capelle-Blancard, Gunther
  • Couderc, Nicolas


This article assesses the relative importance of different types of news in driving significant stock price changes in the defense industry. We implement a systematic event study with the 58 largest publicly listed companies in the defense industry, over the time period 1995–2005. We first identify, for each firm, the statistically significant abnormal returns over the time period. Then, we look for information releases likely to cause such stock price movements. Most of the key drivers in the defense industry are the same as in other industries (key role of formal earnings announcements and analysts' recommendations) but we also identify some specific features, in particular the influence of geopolitical events and the relevance and frequency of bids and contracts on stock prices. Finally, we examine the impact of the September 11 terrorist attacks on defense firms.
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Suggested Citation

  • Capelle-Blancard, Gunther & Couderc, Nicolas, 2008. "What drives the market value of firms in the defense industry," Review of Financial Economics, Elsevier, vol. 17(1), pages 14-32.
  • Handle: RePEc:eee:revfin:v:17:y:2008:i:1:p:14-32

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    References listed on IDEAS

    1. Pritamani, Mahesh & Singal, Vijay, 2001. "Return predictability following large price changes and information releases," Journal of Banking & Finance, Elsevier, vol. 25(4), pages 631-656, April.
    2. Sandrine Lardic & Valérie Mignon, 2002. "Étude d’événements sur données intraquotidiennes françaises : les réactions des actionnaires aux annonces," Revue d'Économie Financière, Programme National Persée, vol. 66(2), pages 335-340.
    3. de Jong, Frank & Kemna, Angelien & Kloek, Teun, 1992. "A contribution to event study methodology with an application to the Dutch stock market," Journal of Banking & Finance, Elsevier, vol. 16(1), pages 11-36, February.
    4. Karolyi, G. Andrew & Martell, Rodolfo, 2005. "Terrorism and the Stock Market," Working Paper Series 2005-19, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    5. Boehmer, Ekkehart & Masumeci, Jim & Poulsen, Annette B., 1991. "Event-study methodology under conditions of event-induced variance," Journal of Financial Economics, Elsevier, vol. 30(2), pages 253-272, December.
    6. 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.
    7. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    8. 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.
    9. Chen, Andrew H. & Siems, Thomas F., 2004. "The effects of terrorism on global capital markets," European Journal of Political Economy, Elsevier, vol. 20(2), pages 349-366, June.
    10. Robert Savickas, 2003. "Event-Induced Volatility and Tests for Abnormal Performance," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 26(2), pages 165-178.
    11. 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.
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    13. Paul Ryan & Richard J. Taffler, 2004. "Are Economically Significant Stock Returns and Trading Volumes Driven by Firm-specific News Releases?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(1-2), pages 49-82.
    14. Brown, Stephen J. & Warner, Jerold B., 1980. "Measuring security price performance," Journal of Financial Economics, Elsevier, vol. 8(3), pages 205-258, September.
    15. A. Craig MacKinlay, 1997. "Event Studies in Economics and Finance," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 13-39, March.
    16. Brockett, Patrick L. & Chen, Hwei-Mei & Garven, James R., 1999. "A new stochastically flexible event methodology with application to Proposition 103," Insurance: Mathematics and Economics, Elsevier, vol. 25(2), pages 197-217, November.
    17. Asquith, Paul & Bruner, Robert F. & Mullins, David Jr., 1983. "The gains to bidding firms from merger," Journal of Financial Economics, Elsevier, vol. 11(1-4), pages 121-139, April.
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    More about this item

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • L64 - Industrial Organization - - Industry Studies: Manufacturing - - - Other Machinery; Business Equipment; Armaments


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