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
Link To Document