• DocumentCode
    2192645
  • Title

    Leveraging Digital Data Streams: The Development and Validation of a Business Confidence Index

  • Author

    Piccoli, Gabriele ; Rodriguez, Joaquin ; Watson, Richard T.

  • Author_Institution
    Louisiana State Univ., Baton Rouge, LA, USA
  • fYear
    2015
  • fDate
    5-8 Jan. 2015
  • Firstpage
    928
  • Lastpage
    937
  • Abstract
    Quarterly Earnings Calls by public companies represent an example of a rich digital data stream. In this study, we intercept this data stream and use it to create a new business confidence index, the P & W IndexTM. This index correlates with existing business confidence indices, both consumer and business, and correlates with US GDP percentage change. The main advantage is that it can be updated as Earnings Calls are released, and there are typically multiple such releases in a week. In contrast, traditional measures are computed on a monthly or quarterly basis. Further, the index can be computed by industry or region. Initial evidence supports further research to validate and refine the proposed business confidence index.
  • Keywords
    business data processing; economic indicators; statistical analysis; P & W IndexTM; US GDP percentage change; business confidence index; digital data stream; earnings calls; Companies; Economics; Indexes; Real-time systems; Standards organizations; Digital Data Streaming; Economic index; Economic predictions; P&W index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2015 48th Hawaii International Conference on
  • Conference_Location
    Kauai, HI
  • ISSN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2015.115
  • Filename
    7069919