Application of Machine Learning in Financial Asset Price
- DOI
- 10.2991/978-94-6463-198-2_40How to use a DOI?
- Keywords
- machine learning; financial investment; asset pricing; application
- Abstract
Asset pricing is an important part of modern financial theory. How to reveal its pricing law is an important research topic in the current financial field. Starting from asset pricing, expounds the application and development of machine learning technology in asset pricing, and classify it as a machine learning method based on feature processing, thus derive the machine learning from manual extraction features to modeling and solving application process based on hypothesis model, improve the diversity of data sources, and gradually use agents to interact with the environment, realize the reasoning path and reasoning logic, promote the application of machine learning in financial asset pricing.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zixuan Pan AU - Zhiqiu Wang AU - Junming Chu PY - 2023 DA - 2023/08/10 TI - Application of Machine Learning in Financial Asset Price BT - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023) PB - Atlantis Press SP - 389 EP - 394 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-198-2_40 DO - 10.2991/978-94-6463-198-2_40 ID - Pan2023 ER -