Artikel
Big data, computational science, economics, finance, marketing, management, and psychology: Connections
The paper provides a review of the literature that connects Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology, and discusses research issues that are related to the various disciplines. Academics could develop theoretical models and subsequent econometric and statistical models to estimate the parameters in the associated models, as well as conduct simulation to examine whether the estimators in their theories on estimation and hypothesis testing have good size and high power. Thereafter, academics and practitioners could apply theory to analyse some interesting issues in the seven disciplines and cognate areas.
- Sprache
-
Englisch
- Erschienen in
-
Journal: Journal of Risk and Financial Management ; ISSN: 1911-8074 ; Volume: 11 ; Year: 2018 ; Issue: 1 ; Pages: 1-29 ; Basel: MDPI
- Klassifikation
-
Wirtschaft
General Economics: General
Financial Economics: General
Capital Budgeting; Fixed Investment and Inventory Studies; Capacity
Management of Technological Innovation and R&D
- Thema
-
big data
computational science
economics
finance
management
theoretical models
econometric and statistical models
applications
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Chang, Chia-Lin
McAleer, Michael
Wong, Wing Keung
- Ereignis
-
Veröffentlichung
- (wer)
-
MDPI
- (wo)
-
Basel
- (wann)
-
2018
- DOI
-
doi:10.3390/jrfm11010015
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:41 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Chang, Chia-Lin
- McAleer, Michael
- Wong, Wing Keung
- MDPI
Entstanden
- 2018
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