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

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Chang, Chia-Lin and McAleer, Michael and Wong, Wing-Keung (2018) Big data, computational science, economics, finance, marketing, management, and psychology: connections. [ Documentos de Trabajo del Instituto Complutense de Análisis Económico (ICAE); nº 05, 2018, ISSN: 2341-2356 ]

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Abstract

The paper provides a review of the literature that connects Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology, and discusses some research that is related to the seven 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.


Item Type:Working Paper or Technical Report
Uncontrolled Keywords:Big Data, Computational science, Economics, Finance, Management, Theoretical models, Econometric and statistical models, Applications.
Subjects:Sciences > Mathematics > Finance
Social sciences > Economics > Finance
JEL:A10, G00, G31, O32
Series Name:Documentos de Trabajo del Instituto Complutense de Análisis Económico (ICAE)
Volume:2018
Number:05
ID Code:46293
Deposited On:02 Feb 2018 09:26
Last Modified:02 Feb 2018 09:26

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