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

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Chang, Chia-Lin and McAleer, Michael and Wong, Wing-Keung (2018) Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections. [ Documentos de Trabajo del ICAE; nº 09, 2018, ISSN: 2341-2356 ] (Unpublished)

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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.


Item Type:Working Paper or Technical Report
Additional Information:

For financial and research support, the first author is grateful to the National Science Council, Ministry of Science and Technology (MOST), Taiwan, the second author wishes to thank the Australian Research Council and National Science Council, Ministry of Science and Technology (MOST), Taiwan, and the third author acknowledges the Research Grants Council of Hong Kong, Asia University, China Medical University Hospital, Hang Seng Management College, Lingnan University, and National Science Council, Ministry of Science and Technology (MOST), Taiwan The third author would also like to thank Robert B. Miller and Howard E. Thompson for their continuous guidance and encouragement.

Uncontrolled Keywords:Decision sciences; Economics; Finance; Business; Computing; Big data; theoretical models; Econometric and statistical models; Applications.
Subjects:Social sciences > Economics > Econometrics
JEL:A10, G00, G31, O32
Series Name:Documentos de Trabajo del ICAE
Volume:2018
Number:09
ID Code:48454
Deposited On:03 Jul 2018 10:38
Last Modified:04 Jul 2018 08:28

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