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Measuring economic diplomacy using event study method: the case of EU-China summit talks and Airbus stock price changes

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  • Sunkung Choi

    (University of Groningen)

Abstract

Economic diplomacy receives growing interest in the field of international relations research ever since the end of the cold war. Despite the vast number of literature on economic diplomacy, there are not many studies measuring the effect of economic diplomacy quantitatively. The purpose of this paper is to propose a method to measure economic diplomacy using the event study method that observes the influence of specific events on stock prices. In this study, the summit talks between the EU and China are selected as specific events that are considered as a form of economic diplomacy, and Airbus stock price, the proxy of the reaction to the economic diplomacy, was observed to verify the influence of it. The study categorized the summit talks by the type of participants whether the top politicians were included or not. The result shows that, among all summit talks, the summit talks between top politicians between the EU and China influence the stock price of Airbus positively, and it is statistically significant.

Suggested Citation

  • Sunkung Choi, 2023. "Measuring economic diplomacy using event study method: the case of EU-China summit talks and Airbus stock price changes," Asia Europe Journal, Springer, vol. 21(2), pages 155-171, June.
    • Handle: RePEc:kap:asiaeu:v:21:y:2023:i:2:d:10.1007_s10308-023-00660-2
    DOI: 10.1007/s10308-023-00660-2
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    1. In Huh & Ju Hyun Pyun, 2018. "Does Nuclear Uncertainty Threaten Financial Markets? The Attention Paid to North Korean Nuclear Threats and Its Impact on South Korea's Financial Markets," Asian Economic Journal, East Asian Economic Association, vol. 32(1), pages 55-82, March.
    2. Scholtens, Bert & Boersen, Arieke, 2011. "Stocks and energy shocks: The impact of energy accidents on stock market value," Energy, Elsevier, vol. 36(3), pages 1698-1702.
    3. Lamdin, Douglas J, 1999. "Event Studies of Regulation and New Results on the Effect of the Cigarette Advertising Ban," Journal of Regulatory Economics, Springer, vol. 16(2), pages 187-201, September.
    4. Feng Liu & Hui Lin & Huiying Wu, 2018. "Political Connections and Firm Value in China: An Event Study," Journal of Business Ethics, Springer, vol. 152(2), pages 551-571, October.
    5. Byung-Yeon Kim & Gérard Roland, 2014. "How credible is the North Korean threat?," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 22(3), pages 433-459, July.
    6. Campbell, Cynthia J. & Cowan, Arnold R. & Salotti, Valentina, 2010. "Multi-country event-study methods," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 3078-3090, December.
    7. Sadaf Anwar & Shveta Singh & P K Jain, 2015. "Cash Dividend Announcements and Stock Return Volatility: Evidence from India," Proceedings of Economics and Finance Conferences 2204432, International Institute of Social and Economic Sciences.
    8. Susana Ferreira & Berna Karali, 2015. "Do Earthquakes Shake Stock Markets?," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-19, July.
    9. Huy Pham & Osama Al-Hares & Vikash Ramiah & Nisreen Moosa, 2019. "Measuring the effect of the North Korea-U.S. summit on the South Korean stock market," Cogent Economics & Finance, Taylor & Francis Journals, vol. 7(1), pages 1690212-169, January.
    10. David Leblang & Bumba Mukherjee, 2005. "Government Partisanship, Elections, and the Stock Market: Examining American and British Stock Returns, 1930–2000," American Journal of Political Science, John Wiley & Sons, vol. 49(4), pages 780-802, October.
    11. Saša Obradović & Nenad Tomić, 2017. "The effect of presidential election in the USA on stock return flow – a study of a political event," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 30(1), pages 112-124, January.
    12. Neelam Rani & Surendra S Yadav & P.K. Jain, 2015. "Impact of Mergers and Acquisitions on Shareholders’ Wealth in the Short Run: An Event Study Approach," Vikalpa: The Journal for Decision Makers, , vol. 40(3), pages 293-312, September.
    13. Vikash Ramiah & Huy N. A. Pham & Imad Moosa, 2017. "The sectoral effects of Brexit on the British economy: early evidence from the reaction of the stock market," Applied Economics, Taylor & Francis Journals, vol. 49(26), pages 2508-2514, June.
    14. Michael Smith, 2014. "EU-China relations and the limits of economic diplomacy," Asia Europe Journal, Springer, vol. 12(1), pages 35-48, March.
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    2. Daniel Pontes & Vasco Santos & Orlando Samões & Shuangao Wang & Ronnie Figueiredo, 2024. "Towards Internationalization: Exploring Economic Diplomacy in the Middle East (GCC)," Economies, MDPI, vol. 12(4), pages 1-19, March.

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