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Revisiting the Economic Crisis after a Decade: Statistical and Machine Learning Perspectives

Author

Listed:
  • Jiayan YU

    (Johns Hopkins University, Baltimore, United States)

  • Jingqian ZHANG

    (University of California, UC Irvine, United States)

  • Hee Eun SHIN

    (Daewon Foreign Language High School, Gwangjin-gu, Seoul, Korea)

  • Jooan KONG

    (Gangnam International School, Seoul, Korea)

Abstract

This paper examines the 2008-09 crisis experienced by the world economy as one of the largest of its kind in four decades. Based on ample research published in the decade since, a simple statistical correlation coefficient is applied to selected variables, and a principal component analysis is conducted for significant indicators that an economic crisis sends as signals of its imminence. Recovery from the crisis is also analyzed not only for the reinstatement of original relationships but also for new signs that falling into a crisis and recovering from it may take quite different paths.

Suggested Citation

  • Jiayan YU & Jingqian ZHANG & Hee Eun SHIN & Jooan KONG, 2019. "Revisiting the Economic Crisis after a Decade: Statistical and Machine Learning Perspectives," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 14-19.
    • Handle: RePEc:ddj:fseeai:y:2019:i:2:p:14-19
    DOI: https://doi.org/10.35219/eai1584040926
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    References listed on IDEAS

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