Big data, computational science, economics, finance, marketing, management, and psychology: Connections

Artikel

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Journal: Journal of Risk and Financial Management ; ISSN: 1911-8074 ; Volume: 11 ; Year: 2018 ; Issue: 1 ; Pages: 1-29 ; Basel: MDPI

Classification and Topics

• Classification: Wirtschaft ; General Economics: General ; Financial Economics: General ; Capital Budgeting; Fixed Investment and Inventory Studies; Capacity ; Management of Technological Innovation and R&D
• Subject: big data ; computational science ; economics ; finance ; management ; theoretical models ; econometric and statistical models ; applications

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Chang, Chia-Lin ; McAleer, Michael ; Wong, Wing Keung
• Event: Veröffentlichung
• (who): MDPI
• (where): Basel
• (when): 2018

Further information

• DOI: doi:10.3390/jrfm11010015
• Handle: http://hdl.handle.net/10419/238862
• Last update: 10.03.2025, 11:41 AM CET