文章基本信息

标题：Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections
本地全文：下载
作者：Chang, Chia-Lin ; McAleer, Michael ; Wong, Wing-Keung 等
期刊名称：Journal of Risk and Financial Management
印刷版ISSN：1911-8074
出版年度：2018
卷号：11
期号：1
页码：1-29
出版社：MDPI, Open Access Journal
摘要：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.
关键词：big data; computational science; economics; finance; management; theoretical models; econometric and statistical models; applications