scholarly journals Financial Data Science: The Birth of a New Financial Research Paradigm Complementing Econometrics?

2019 ◽  
Author(s):  
Chris Brooks ◽  
Andreas G. F. Hoepner ◽  
David G. McMillan ◽  
Andrew Vivian ◽  
Chardin Wese Simen
Keyword(s):  
Data Science ◽  
Financial Data ◽  
Research Paradigm ◽  
Financial Research

scholarly journals Financial data science: the birth of a new financial research paradigm complementing econometrics?

2019 ◽  
Vol 25 (17) ◽  
pp. 1627-1636 ◽  
Author(s):  
Chris Brooks ◽  
Andreas G. F. Hoepner ◽  
David McMillan ◽  
Andrew Vivian ◽  
Chardin Wese Simen
Keyword(s):  
Data Science ◽  
Financial Data ◽  
Research Paradigm ◽  
Financial Research

scholarly journals Application of Predictive Methods to Financial Data Sets

e-Finanse ◽  
2021 ◽  
Vol 17 (1) ◽  
pp. 50-61
Author(s):  
Reza Habibi
Keyword(s):  
Data Science ◽  
Operation Research ◽  
Critical Role ◽  
Financial Data ◽  
Science Methods ◽  
Data Sets ◽  
Actual Case ◽  
Literature Reviews ◽  
Predictive Methods ◽  
Conclusion Section

Abstract Financial data sets are growing too fast and need to be analyzed. Data science has many different techniques to store and summarize, mining, running simulations and finally analyzing them. Among data science methods, predictive methods play a critical role in analyzing financial data sets. In the current paper, applications of 22 methods classified in four categories namely data mining and machine learning, numerical analysis, operation research techniques and meta-heuristic techniques, in financial data sets are studied. To this end, first, literature reviews on these methods are given. For each method, a data analysis case (as an illustrative example) is presented and the problem is analyzed with the mentioned method. An actual case is given to apply those methods to solve the problem and to choose a better one. Finally, a conclusion section is proposed.

scholarly journals Artificial Intelligence Based Optimal Functional Link Neural Network for Financial Data Science

2022 ◽  
Vol 70 (3) ◽  
pp. 6289-6304
Author(s):  
Anwer Mustafa Hilal ◽  
Hadeel Alsolai ◽  
Fahd N. Al-Wesabi ◽  
Mohammed Abdullah Al-Hagery ◽  
Manar Ahmed Hamza ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Data Science ◽  
Financial Data ◽  
Functional Link ◽  
Functional Link Neural Network

Financial data science

2018 ◽  
Vol 136 ◽  
pp. 160-164 ◽  
Author(s):  
Paolo Giudici
Keyword(s):  
Data Science ◽  
Financial Data

ChemML: A Machine Learning and Informatics Program Package for the Analysis, Mining, and Modeling of Chemical and Materials Data

2019 ◽  
Author(s):  
Mojtaba Haghighatlari ◽  
Gaurav Vishwakarma ◽  
Doaa Altarawy ◽  
Ramachandran Subramanian ◽  
Bhargava Urala Kota ◽  
...  
Keyword(s):  
Machine Learning ◽  
In Silico ◽  
Data Science ◽  
General Purpose ◽  
Data Driven ◽  
Research Paradigm ◽  
User Friendliness ◽  
Methodological Innovation ◽  
Software Ecosystem ◽  
Key Features

<div><i>ChemML</i> is an open machine learning and informatics program suite that is designed to support and advance the data-driven research paradigm that is currently emerging in the chemical and materials domain. <i>ChemML</i> allows its users to perform various data science tasks and execute machine learning workflows that are adapted specifically for the chemical and materials context. Key features are automation, general-purpose utility, versatility, and user-friendliness in order to make the application of modern data science a viable and widely accessible proposition in the broader chemistry and materials community. <i>ChemML</i> is also designed to facilitate methodological innovation, and it is one of the cornerstones of the software ecosystem for data-driven <i>in silico</i> research outlined in our recent publication<sup>1</sup>.</div>

scholarly journals Significance, relevance and explainability in the machine learning age: an econometrics and financial data science perspective

2020 ◽  
Vol 27 (1-2) ◽  
pp. 1-7
Author(s):  
Andreas G. F. Hoepner ◽  
David McMillan ◽  
Andrew Vivian ◽  
Chardin Wese Simen
Keyword(s):  
Machine Learning ◽  
Data Science ◽  
Financial Data
Sign in / Sign up

Export Citation Format

Share Document