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The budgets of wars: Analysis of the U.S. defense stocks in the Post-Cold War era

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  • Gurdgiev, Constantin
  • Henrichsen, Aaron
  • Mulhair, Andrew

Abstract

In this study, we consider the effects of the U.S military participation in direct and indirect foreign conflicts, defense budget announcements, and various political factors have on the abnormal returns to five largest U.S. defense companies’ share prices. We conducted this analysis by using a fixed effect panel approach along with event studies, using quarterly data over 30 years, from 1990 through the end of 2019. Our findings contribute to the largely dated and highly fragmented literature on the geopolitical drivers of the MIC (military-industrial complex) shares performance. We find that, in contrast to the established literature, defense budgets announcements have complex and dynamic statistically significant positive impacts on defense company stock performance through current period budget announcements, changes to the prior budget announcements and lagged budget announcements. We also find that a single party control over the House of Representatives and the Senate has no significant impact on abnormal returns, whereas solely having a Republican President in office acts as a significant catalyst for excess returns to MIC stocks when compared to the Democratic Party Presidencies. Consistent with potential for overshooting expectations by investors, direct conflict participation has a significantly positive impact on stock performance. This effect is almost fully moderated by the subsequent period negative reaction. Overall, our evidence suggests that defense companies perform better in those periods with greater likelihood of unexpected conflict-related news, greater geopolitical volatility, less informationally efficient markets, and the potential for conflict escalation. To the best of our knowledge, this is the first study of determinants of abnormal returns to MIC stocks that takes explicit account of the nature of U.S. participation in a military conflict (direct vs indirect), while controlling for an exhaustive range of complex budgetary and political factors and lags.

Suggested Citation

  • Gurdgiev, Constantin & Henrichsen, Aaron & Mulhair, Andrew, 2022. "The budgets of wars: Analysis of the U.S. defense stocks in the Post-Cold War era," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 335-346.
    • Handle: RePEc:eee:reveco:v:82:y:2022:i:c:p:335-346
    DOI: 10.1016/j.iref.2022.06.023
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    References listed on IDEAS

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    1. 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.
    2. Claude Berrebi & Esteban F. Klor, 2010. "The Impact of Terrorism on the Defence Industry," Economica, London School of Economics and Political Science, vol. 77(307), pages 518-543, July.
    3. Belo, Frederico & Gala, Vito D. & Li, Jun, 2013. "Government spending, political cycles, and the cross section of stock returns," Journal of Financial Economics, Elsevier, vol. 107(2), pages 305-324.
    4. Jesús Rodríguez-López & Mario Solís-García, 2018. "Defense spending and fiscal multipliers: it's all in the variance," Working Papers 18.06, Universidad Pablo de Olavide, Department of Economics.
    5. Pedro Santa‐Clara & Rossen Valkanov, 2003. "The Presidential Puzzle: Political Cycles and the Stock Market," Journal of Finance, American Finance Association, vol. 58(5), pages 1841-1872, October.
    6. Stephanie Neuman, 2010. "Power, Influence, And Hierarchy: Defense Industries In A Unipolar World," Defence and Peace Economics, Taylor & Francis Journals, vol. 21(1), pages 105-134.
    7. Amelie Brune & Thorsten Hens & Marc Rieger & Mei Wang, 2015. "The war puzzle: contradictory effects of international conflicts on stock markets," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 62(1), pages 1-21, March.
    8. Chesney, Marc & Reshetar, Ganna & Karaman, Mustafa, 2011. "The impact of terrorism on financial markets: An empirical study," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 253-267, February.
    9. Khalid Khan & Chi-Wei Su & Syed Kumail Abbas Rizvi, 2022. "Guns and Blood: A Review of Geopolitical Risk and Defence Expenditures," Defence and Peace Economics, Taylor & Francis Journals, vol. 33(1), pages 42-58, January.
    10. J Paul Dunne & Elisabeth Skons, 2011. "The Changing Military Industrial Complex," Working Papers 1104, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    11. Justin Wolfers & Eric Zitzewitz, 2009. "Using Markets to Inform Policy: The Case of the Iraq War," Economica, London School of Economics and Political Science, vol. 76(302), pages 225-250, April.
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    More about this item

    Keywords

    U.S. defense stocks; Military conflicts; Stock prices; Foreign conflicts; Event study; GARCH; Volatility; Excess returns;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • H56 - Public Economics - - National Government Expenditures and Related Policies - - - National Security and War

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