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Forecasting U.S. Home Foreclosures with an Index of Internet Keyword Searches

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Value Creation in E-Business Management (AMCIS 2009)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 36))

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Abstract

Finding data to feed into financial and risk management models can be challenging. Many analysts attribute a lack of data or quality information as a contributing factor to the worldwide financial crises that seems to have begun in the U.S. subprime mortgage market. In this paper, a new source of data, key word search statistics recently available from Google, are applied in a experiment to develop a short-term forecasting model for the number of foreclosures in the U.S. housing market. The keyword search data significantly improves forecast of foreclosures, suggesting that this data can be useful for financial risk management. More generally, the new data source shows promise for a variety of financial and market analyses.

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Author information

Authors and Affiliations

  1. San Jose State University, USA

    G. Kent Webb

Authors
  1. G. Kent Webb
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Editor information

Editors and Affiliations

  1. College of Business, Illinois State University, IL 61790, Normal, USA

    Matthew L. Nelson

  2. College of Business, University of Illinois, IL, 61820, Champaign, USA

    Michael J. Shaw

  3. College of Business and Public Administration, Drake University, IA 50311, Des Moines, USA

    Troy J. Strader

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© 2009 Springer-Verlag Berlin Heidelberg

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Webb, G.K. (2009). Forecasting U.S. Home Foreclosures with an Index of Internet Keyword Searches. In: Nelson, M.L., Shaw, M.J., Strader, T.J. (eds) Value Creation in E-Business Management. AMCIS 2009. Lecture Notes in Business Information Processing, vol 36. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03132-8_16

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  • DOI: https://doi.org/10.1007/978-3-642-03132-8_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03131-1

  • Online ISBN: 978-3-642-03132-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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