Template-Type: ReDIF-Paper 1.0
Series: Tinbergen Institute Discussion Papers
Creation-Date: 2018-03-14
Number: 18-024/III
Author-Name: Chia-Lin Chang
Author-Email: changchialin@email.nchu.edu.tw
Author-Workplace-Name: National Chung Hsing University
Author-Name: Michael McAleer
Author-Email: michael.mcaleer@gmail.com
Author-Workplace-Name: Asia University, University of Sydney Business School, Erasmus University Rotterdam
Author-Name: Wing-Keung Wong
Author-Email: wong@asia.edu.tw
Author-Workplace-Name: Asia University, China Medical University Hospital, Hang Seng Management College
Title: Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections
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.
Classification-JEL: A10, G00, G31, O32
Keywords: Decision sciences, economics, finance, business, computing, and big data, theoretical models, econometric and statistical models, applications.
File-Url: https://papers.tinbergen.nl/18024.pdf
File-Format: application/pdf
File-Size: 587873 bytes
Handle: RePEc:tin:wpaper:20180024