IDEAS home Printed from https://ideas.repec.org/a/ddj/fseeai/y2019i2p14-19.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.eia.feaa.ugal.ro/images/eia/2019_2/Yu_Zhang_Shin_Kong.pdf
    Download Restriction: no
    File URL: https://libkey.io/https://doi.org/10.35219/eai1584040926?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Asli Demirgüç-Kunt & Luis Servén, 2010. "Are All the Sacred Cows Dead? Implications of the Financial Crisis for Macro- and Financial Policies," The World Bank Research Observer, World Bank, vol. 25(1), pages 91-124, February.
    2. Frankel, Jeffrey & Saravelos, George, 2012. "Can leading indicators assess country vulnerability? Evidence from the 2008–09 global financial crisis," Journal of International Economics, Elsevier, vol. 87(2), pages 216-231.
    3. Yuliya Demyanyk & Otto van Hemert, 2009. "Understanding the subprime mortgage crisis," Proceedings, Federal Reserve Bank of San Francisco, issue jan.
    4. Giovanni Dell’ariccia & Deniz Igan & Luc Laeven, 2012. "Credit Booms and Lending Standards: Evidence from the Subprime Mortgage Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44, pages 367-384, March.
    5. Rios-Morales, Ruth & Gamberger, Dragan & Smuc, Tom & Azuaje, Francisco, 2009. "Innovative methods in assessing political risk for business internationalization," Research in International Business and Finance, Elsevier, vol. 23(2), pages 144-156, June.
    6. Demirgüç-Kunt, Asli & Detragiache, Enrica, 2005. "Cross-Country Empirical Studies of Systemic Bank Distress: A Survey," National Institute Economic Review, National Institute of Economic and Social Research, vol. 192, pages 68-83, April.
    7. Travis J. Berge, 2015. "Predicting Recessions with Leading Indicators: Model Averaging and Selection over the Business Cycle," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(6), pages 455-471, September.
    8. Demyanyk, Yuliya & Hasan, Iftekhar, 2010. "Financial crises and bank failures: A review of prediction methods," Omega, Elsevier, vol. 38(5), pages 315-324, October.
    9. Giusto, Andrea & Piger, Jeremy, 2017. "Identifying business cycle turning points in real time with vector quantization," International Journal of Forecasting, Elsevier, vol. 33(1), pages 174-184.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fendel Ralf & Stremmel Hanno, 2016. "Characteristics of Banking Crises: A Comparative Study with Geographical Contagion," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(3), pages 349-388, May.
    2. Suh, Sangwon, 2017. "Sudden stops of capital flows to emerging markets: A new prediction approach," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 289-308.
    3. Stijn Claessens & M. Ayhan Kose, 2013. "Financial Crises: Explanations, Types and Implications," CAMA Working Papers 2013-06, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Gerard Caprio & Asli Demirgüç-Kunt & Edward J. Kane, 2010. "The 2007 Meltdown in Structured Securitization: Searching for Lessons, not Scapegoats," The World Bank Research Observer, World Bank, vol. 25(1), pages 125-155, February.
    5. Piskorski, Tomasz & Seru, Amit & Vig, Vikrant, 2010. "Securitization and distressed loan renegotiation: Evidence from the subprime mortgage crisis," Journal of Financial Economics, Elsevier, vol. 97(3), pages 369-397, September.
    6. repec:zbw:bofrdp:2009_035 is not listed on IDEAS
    7. Demyanyk, Yuliya & Hasan, Iftekhar, 2010. "Financial crises and bank failures: A review of prediction methods," Omega, Elsevier, vol. 38(5), pages 315-324, October.
    8. Jihad Dagher & Mr. Ning Fu, 2011. "What Fuels the Boom Drives the Bust: Regulation and the Mortgage Crisis," IMF Working Papers 2011/215, International Monetary Fund.
    9. Korte, Josef, 2015. "Catharsis—The real effects of bank insolvency and resolution," Journal of Financial Stability, Elsevier, vol. 16(C), pages 213-231.
    10. Mahir Binici & Aytül Ganioglu, 2021. "Net external position, financial development, and banking crisis," Empirical Economics, Springer, vol. 61(3), pages 1225-1251, September.
    11. Ibáñez-Hernández, Francisco J. & Peña-Cerezo, Miguel A. & Araujo-de-la-Mata, Andrés, 2019. "Corporate governance and procyclicality in a banking crisis: Empirical evidence and implications," Finance Research Letters, Elsevier, vol. 30(C), pages 271-275.
    12. Davis, J. Scott & Mack, Adrienne & Phoa, Wesley & Vandenabeele, Anne, 2016. "Credit booms, banking crises, and the current account," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 360-377.
    13. Manthoulis, Georgios & Doumpos, Michalis & Zopounidis, Constantin & Galariotis, Emilios, 2020. "An ordinal classification framework for bank failure prediction: Methodology and empirical evidence for US banks," European Journal of Operational Research, Elsevier, vol. 282(2), pages 786-801.
    14. Iustina Alina BOITAN & Nicolae DARDAC, 2010. "Banking Crises’ Triggering Factors – Lessons from Past Experience," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 3-33.
    15. Christofides, Charis & Eicher, Theo S. & Papageorgiou, Chris, 2016. "Did established Early Warning Signals predict the 2008 crises?," European Economic Review, Elsevier, vol. 81(C), pages 103-114.
    16. Li, Haixi & Sheng, Xuguang Simon & Yang, Jingyun, 2021. "Monitoring recessions: A Bayesian sequential quickest detection method," International Journal of Forecasting, Elsevier, vol. 37(2), pages 500-510.
    17. Hwang, Youngjin, 2019. "Forecasting recessions with time-varying models," Journal of Macroeconomics, Elsevier, vol. 62(C).
    18. Dursun-de Neef, H. Özlem, 2023. "Bank specialization, mortgage lending and house prices," Journal of Banking & Finance, Elsevier, vol. 151(C).
    19. Ons Jedidi & Jean Sébastien Pentecote, 2015. "Robust Signals for Banking Crises," Economics Bulletin, AccessEcon, vol. 35(3), pages 1617-1629.
    20. Cihak, Martin & Demirgüç-Kunt, Asli & Martinez Peria, Maria Soledad & Mohseni-Cheraghlou, Amin, 2013. "Bank regulation and supervision in the context of the global crisis," Journal of Financial Stability, Elsevier, vol. 9(4), pages 733-746.
    21. Mirjana Jemović & Srđan Marinković, 2021. "Determinants of financial crises—An early warning system based on panel logit regression," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 103-117, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ddj:fseeai:y:2019:i:2:p:14-19. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Gianina Mihai (email available below). General contact details of provider: https://edirc.repec.org/data/fegalro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.