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

Author

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  • Chia-Lin Chang

    (Department of Applied economics, Department of Finance National Chung Hsing University, Taiwan.)

  • Wing-Keung Wong

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

  • Michael McAleer

    ( Department of Quantitative Finance National Tsing Hua University, Taiwan and Econometric Institute Erasmus School of Economics Erasmus University Rotterdam, The Netherlands and Department of Quantitative Economics Complutense University of Madrid, Spain And Institute of Advanced Sciences Yokohama National University, Japan.)

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.

Suggested Citation

  • Chia-Lin Chang & Wing-Keung Wong & Michael McAleer, 2018. "Big data, computational science, economics, finance, marketing, management, and psychology: connections," Documentos de Trabajo del ICAE 2018-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
  • Handle: RePEc:ucm:doicae:1805
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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:

    • A10 - General Economics and Teaching - - General Economics - - - General
    • 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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