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Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections

Author

Listed:
  • Chia-Lin Chang

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

  • 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.)

  • 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 And Department of Economics and Finance Hang Seng Management College, Hong Kong, China and Department of Economics, Lingnan University, Hong Kong, China.)

Abstract

This paper provides a review of some connecting literature in Decision Sciences, Economics, Finance, Business, Computing, and Big Data. We then discuss some research that is related to the six cognate disciplines. Academics could develop theoretical models and subsequent econometric and statistical models to estimate the parameters in the associated models. Moreover, they could then conduct simulations to examine whether the estimators or statistics in the new theories on estimation and hypothesis have small size and high power. Thereafter, academics and practitioners could then apply their theories to analyze interesting problems and issues in the six disciplines and other cognate areas.

Suggested Citation

  • Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Documentos de Trabajo del ICAE 2018-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
  • Handle: RePEc:ucm:doicae:1809
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    1. Sel Ly & Kim-Hung Pho & Sal Ly & Wing-Keung Wong, 2019. "Determining Distribution for the Quotients of Dependent and Independent Random Variables by Using Copulas," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 12(1), pages 1-27, March.

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    Decision sciences; Economics; Finance; Business; Computing; Big data; theoretical models; Econometric and statistical models; Applications.;

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    • 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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