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Open AccessFeature PaperReview

Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections

1, 2,3,4,5,6,* and 7,8,9,10
1
Department of Applied Economics and Department of Finance, National Chung Hsing University, Taichung 40227, Taiwan
2
Department of Finance, Asia University, Taichung 41354, Taiwan
3
Discipline of Business Analytics, University of Sydney Business School, Sydney, NSW 2006, Australia
4
Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam, 3062 PA Rotterdam, The Netherlands
5
Department of Economic Analysis and ICAE, Complutense University of Madrid, 28223 Madrid, Spain
6
Institute of Advanced Sciences, Yokohama National University, Yokohama 240-8501, Japan
7
Department of Finance, Fintech Center, and Big Data Research Center, Asia University, Taichung 41354, Taiwan
8
Department of Medical Research, China Medical University Hospital, Taichung 40447, Taiwan
9
Department of Economics and Finance, Hang Seng Management College, Hong Kong, China
10
Department of Economics, Lingnan University, Hong Kong, China
*
Author to whom correspondence should be addressed.
J. Risk Financial Manag. 2018, 11(1), 15; https://doi.org/10.3390/jrfm11010015
Received: 4 February 2018 / Revised: 7 March 2018 / Accepted: 13 March 2018 / Published: 20 March 2018
(This article belongs to the Collection Feature Papers from Journal Editorial Board)
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PDF [435 KB, uploaded 3 May 2018]

Abstract

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. View Full-Text
Keywords: big data; computational science; economics; finance; management; theoretical models; econometric and statistical models; applications big data; computational science; economics; finance; management; theoretical models; econometric and statistical models; applications
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Chang, C.-L.; McAleer, M.; Wong, W.-K. Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections. J. Risk Financial Manag. 2018, 11, 15.

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