Thierry Warin, PhD: [Article] Machine Learning in Finance: A Metadata-Based Systematic Review of the Literature

Thierry Warin; Aleksandar Stojkov

doi:10.3390/jrfm14070302

[Article] Machine Learning in Finance: A Metadata-Based Systematic Review of the Literature

A Metadata-Based Systematic Review of the Literature

Description

The application of Machine Learning Algorithms and unstructured data analysis have become a promising methodological advancement in the finance field. The paper’s central goal is to use a metadata-based systematic literature review to map current state of neural networks and machine learning in the finance field. By processing a large set of articles and its transformation into machine-readable data, we conduct a systematic review of the academic finance literature intersected with neural networks methodologies. The output is a data-driven meta-analysis of the two-decade evolution and the current state of academic inquieries into financial concepts and financial market trends.

Keywords: Efficient Market Hypothesis; Machine Learning; Network analysis; Sentiment analysis

Appendix of 5053 References Used in the Article

References

Citation

For attribution, please cite this work as

Warin & Stojkov, "Thierry Warin, PhD: [Article] Machine Learning in Finance: A Metadata-Based Systematic Review of the Literature", , 2021

BibTeX citation

@article{warin2021[article],
  author = {Warin, Thierry and Stojkov, Aleksandar},
  title = {Thierry Warin, PhD: [Article] Machine Learning in Finance: A Metadata-Based Systematic Review of the Literature},
  journal = {},
  year = {2021},
  note = {https://warin.ca/posts/article-machine-learning-finance/},
  doi = {10.3390/jrfm14070302}
}