Portfolio allocation with dynamic risk preferences via reinforcement learning
Year of publication: |
2024
|
---|---|
Authors: | Chen, Ting-Fu ; Kuang, Xian-Ji ; Liao, Szu-Lang ; Lin, Shih-kuei |
Published in: |
Computational economics. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9974, ZDB-ID 1477445-8. - Vol. 64.2024, 4, p. 2033-2052
|
Subject: | Mean-variance portfolio | Reinforcement learning | Reward function | Risk preference | Portfolio-Management | Portfolio selection | Risikopräferenz | Risk attitude | Theorie | Theory | Lernprozess | Learning process | Lernen | Learning | Erwartungsnutzen | Expected utility |
-
Risk preference and stability under learning
Georges, Christophre, (2015)
-
Risk Preference and Stability Under Learning
Georges, Christophre, (2015)
-
Robo-advising : learning investors' risk preferences via portfolio choices
Alsabah, Humoud, (2021)
- More ...
-
Pricing gold options under Markov-modulated jump-diffusion processes
Lin, Shih-kuei, (2014)
-
Excess volatility and market efficiency in government bond markets : the ASEAN-5 context
Tang, Kin Boon, (2020)
-
Intelligent portfolio construction via news sentiment analysis
Hung, Ming-Chin, (2024)
- More ...