2026-06-08T07:25:29Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/174122023-08-11T07:26:30Zcom_20.500.14352_14col_20.500.14352_17
Big data, computational science, economics, finance, marketing, management, and psychology: connections
Chang, Chia-Lin
McAleer, Michael
Wong, Wing-Keung
A10
G00
G31
O32
Big Data
Computational science
Economics
Finance
Management
Theoretical models
Econometric and statistical models
Applications.
Economía financiera
Finanzas
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.
Fac. de Ciencias Económicas y Empresariales
Instituto Complutense de Análisis Económico (ICAE)
TRUE
pub
2023-06-17T17:53:26Z
2023-06-17T17:53:26Z
2018
technical report
https://hdl.handle.net/20.500.14352/17412
2341-2356
eng
Documentos de Trabajo del Instituto Complutense de Análisis Económico (ICAE)
Atribución-NoComercial-CompartirIgual 3.0 España
https://creativecommons.org/licenses/by-nc-sa/3.0/es/
open access
application/pdf
Facultad de Ciencias Económicas y Empresariales. Instituto Complutense de Análisis Económico (ICAE)