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Internet search volumes of UK banks during the crisis: The role of banking structure and business model

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  • Arnold, Ivo J.M.

Abstract

This paper investigates the sensitivity of Google search volumes to the global financial crisis, using a large sample of UK banks. We find that abnormal volumes of searches on bank names are a timely indicator of credit risk, as measured by credit default swap rates, and are strongly related to crisis indicators. Search volumes for retail, private, and universal banks react more strongly than search volumes for other banks, suggesting that depositor concerns drive search volumes. Search volumes for internet banks and for European banks operating in the UK through branches are especially sensitive to crises.

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  • Arnold, Ivo J.M., 2020. "Internet search volumes of UK banks during the crisis: The role of banking structure and business model," Global Finance Journal, Elsevier, vol. 45(C).
    • Handle: RePEc:eee:glofin:v:45:y:2020:i:c:s1044028318302308
    DOI: 10.1016/j.gfj.2019.05.001
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    1. Theologos Dergiades & Costas Milas & Theodore Panagiotidis, 2015. "Tweets, Google trends, and sovereign spreads in the GIIPS," Oxford Economic Papers, Oxford University Press, vol. 67(2), pages 406-432.
    2. Iftekhar Hasan & Liuling Liu & Gaiyan Zhang, 2016. "The Determinants of Global Bank Credit-Default-Swap Spreads," Journal of Financial Services Research, Springer;Western Finance Association, vol. 50(3), pages 275-309, December.
    3. Stephens-Davidowitz, Seth, 2014. "The cost of racial animus on a black candidate: Evidence using Google search data," Journal of Public Economics, Elsevier, vol. 118(C), pages 26-40.
    4. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    5. Douglas W. Diamond & Philip H. Dybvig, 2000. "Bank runs, deposit insurance, and liquidity," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 24(Win), pages 14-23.
    6. Jonathan Fiechter & Inci Ötker & Anna Ilyina & Michael Hsu & Andre O Santos & Jay Surti, 2011. "Subsidiaries or Branches; Does One Size Fit All?," IMF Staff Discussion Notes 11/04, International Monetary Fund.
    7. Robert DeYoung, 2005. "The Performance of Internet-Based Business Models: Evidence from the Banking Industry," The Journal of Business, University of Chicago Press, vol. 78(3), pages 893-948, May.
    8. Vozlyublennaia, Nadia, 2014. "Investor attention, index performance, and return predictability," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 17-35.
    9. Giovanni Calice & Christos Ioannidis & Julian Williams, 2012. "Credit Derivatives and the Default Risk of Large Complex Financial Institutions," Journal of Financial Services Research, Springer;Western Finance Association, vol. 42(1), pages 85-107, October.
    10. Kevin L. Kliesen & Michael T. Owyang & E. Katarina Vermann, 2012. "Disentangling diverse measures: a survey of financial stress indexes," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 369-398.
    11. Thomas Dimpfl & Stephan Jank, 2016. "Can Internet Search Queries Help to Predict Stock Market Volatility?," European Financial Management, European Financial Management Association, vol. 22(2), pages 171-192, March.
    12. Robert DeYoung, 2001. "The financial performance of pure play Internet banks," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 25(Q I), pages 60-78.
    13. Péter Fáykiss & Gabriella Grosz & Gábor Szigel, 2013. "Transforming subsidiaries into branches - Should we be worrying about it?," MNB Occasional Papers 2013/106, Magyar Nemzeti Bank (Central Bank of Hungary).
    14. Dimpfl Thomas & Kleiman Vladislav, 2019. "Investor Pessimism and the German Stock Market: Exploring Google Search Queries," German Economic Review, De Gruyter, vol. 20(1), pages 1-28, February.
    15. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    16. Jonathan Fiechter & Ms. Inci Ötker & Ms. Anna Ilyina & Michael Hsu & Mr. Andre O Santos & Jay Surti, 2011. "Subsidiaries or Branches: Does One Size Fit All?," IMF Staff Discussion Notes 2011/004, International Monetary Fund.
    17. Arnold, Ivo J.M. & van Ewijk, Saskia E., 2011. "Can pure play internet banking survive the credit crisis?," Journal of Banking & Finance, Elsevier, vol. 35(4), pages 783-793, April.
    18. Chronopoulos, Dimitris K. & Papadimitriou, Fotios I. & Vlastakis, Nikolaos, 2018. "Information demand and stock return predictability," Journal of International Money and Finance, Elsevier, vol. 80(C), pages 59-74.
    19. Laura Chiaramonte & Barbara Casu, 2013. "The determinants of bank CDS spreads: evidence from the financial crisis," The European Journal of Finance, Taylor & Francis Journals, vol. 19(9), pages 861-887, October.
    20. Vlastakis, Nikolaos & Markellos, Raphael N., 2012. "Information demand and stock market volatility," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1808-1821.
    21. Florian Schaffner, 2015. "Predicting US bank failures with internet search volume data," ECON - Working Papers 214, Department of Economics - University of Zurich.
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    Cited by:

    1. Andres, Christian & Betzer, André & Doumet, Markus, 2021. "Measuring changes in credit risk: The case of CDS event studies," Global Finance Journal, Elsevier, vol. 49(C).

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    More about this item

    Keywords

    Financial stability; Banking structure; Branch model; Direct banking; Google;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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