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 :
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