Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)

An Overview of Clustering Methods in The Financial World

Authors
Geyang Tang1, *, , Rujian Tian2, , Bingdi Wu3,
1Bachelor of Business Administration, University of Toronto, Toronto, ON M1C 1A4, Canada
2Hangzhou Foreign Languages School, Hangzhou, 310018, China
3Jiangsu Tianyi High School, Wuxi, 214000, China

These authors contributed equally

*Corresponding author. Email: geyang.tang@mail.utoronto.ca
Corresponding Author
Geyang Tang
Available Online 26 March 2022.
DOI
10.2991/aebmr.k.220307.084How to use a DOI?
Keywords
Clustering; Financial application; Machine learning
Abstract

This paper reviews the widely used clustering methods: K-mean, MST, and the hierarchical approach, along with its application in financial fields. Specifically, it includes a discussion of the application in credit scoring, stock market, portfolio selection, and trading strategy. Moreover, significant challenges and future research directions are also being identified. It is founded that clustering could have wide application in varied financial fields, however, challenges might be solved by future in-depth research. This paper aims at helping other researchers to select the best-fit algorithms to conduct their research and provide an analytical base for people who have an interest in this topic. Additionally, business analysts and quantitative researchers might be able to leverage the insights.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
26 March 2022
ISBN
10.2991/aebmr.k.220307.084
ISSN
2352-5428
DOI
10.2991/aebmr.k.220307.084How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Geyang Tang
AU  - Rujian Tian
AU  - Bingdi Wu
PY  - 2022
DA  - 2022/03/26
TI  - An Overview of Clustering Methods in The Financial World
BT  - Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)
PB  - Atlantis Press
SP  - 524
EP  - 529
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220307.084
DO  - 10.2991/aebmr.k.220307.084
ID  - Tang2022
ER  -