Skip to content
New issue

Have a question about this project? # for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “#”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? # to your account

Any papers support the portfolio optimization via deep learning directly? #145

Open
YorkLouis opened this issue Mar 15, 2023 · 2 comments
Open

Comments

@YorkLouis
Copy link

What optimization framework can this method be applied? What the difference with supervised learning, and Deep Reinforcement Learning?

@kalyan678
Copy link

kalyan678 commented May 1, 2023

Hey @YorkLouis - The optimization framework used in deep learning for portfolio optimization depends on the specific approach taken. If using neural networks to predict asset returns, any traditional optimization framework can be used. If using deep reinforcement learning to directly learn optimal portfolio weights, the agent learns to take actions to maximize a reward signal. The main difference between supervised learning and deep reinforcement learning is that the former involves learning a mapping between input and output labels, while the latter involves learning to make sequential decisions that maximize a reward signal. Supervised learning can be used for predicting asset returns, while deep reinforcement learning can be used to directly learn optimal portfolio weights. As far as I know, portfolio optimization is still a relatively new and active area of research, and there are many challenges and limitations that need to be addressed. Additionally, the use of deep learning in finance requires careful consideration of ethical and regulatory issues.
Below are the some of the research papers that you can explore for even better understanding :

  1. A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" by Zhengyao Jiang, Dixing Xu, and Jinjun Liang (2017) - https://arxiv.org/abs/1706.10059
  2. Deep Learning in Asset #" by Bryan Kelly, Yuncheng Li, and Jiamin Xu (2019) - https://arxiv.org/pdf/1904.00745.pdf
  3. Portfolio selection using neural networks by Alberto Fernández, Sergio Gómez - https://arxiv.org/ftp/cs/papers/0501/0501005.pdf

Hope this information helps!

@pepi99
Copy link

pepi99 commented Jul 20, 2023

@kalyan678 , thanks for the extensive answer. I am wondering, do you think that supervised learning can also be used to learn optimal portfolio weights?

Or it is just used for predicting asset returns?

# for free to join this conversation on GitHub. Already have an account? # to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants