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

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  • Chia-Lin Chang

    (Department of Applied Economics and Department of Finance, National Chung Hsing University, Taichung 40227, Taiwan)

  • Michael McAleer

    (Department of Finance, Asia University, Taichung 41354, Taiwan
    Discipline of Business Analytics, University of Sydney Business School, Sydney, NSW 2006, Australia
    Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam, 3062 PA Rotterdam, The Netherlands
    Department of Economic Analysis and ICAE, Complutense University of Madrid, 28223 Madrid, Spain)

  • Wing-Keung Wong

    (Department of Finance, Fintech Center, and Big Data Research Center, Asia University, Taichung 41354, Taiwan
    Department of Medical Research, China Medical University Hospital, Taichung 40447, Taiwan
    Department of Economics and Finance, Hang Seng Management College, Hong Kong, China
    Department of Economics, Lingnan University, Hong Kong, China)

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.

Suggested Citation

  • Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," JRFM, MDPI, vol. 11(1), pages 1-29, March.
    • Handle: RePEc:gam:jjrfmx:v:11:y:2018:i:1:p:15-:d:137130
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    More about this item

    Keywords

    big data; computational science; economics; finance; management; theoretical models; econometric and statistical models; applications;
    All these keywords.

    JEL classification:

    • G00 - Financial Economics - - General - - - General
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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