Behaviorally informed deep reinforcement learning for portfolio optimization with loss aversion and overconfidence. [PDF]
Charkhestani A, Esfahanipour A.
europepmc +1 more source
Portfolio Optimization with a Mean-Absolute Deviation-Entropy Multi-Objective Model. [PDF]
Lam WS, Lam WH, Jaaman SH.
europepmc +1 more source
ABSTRACT The role of intellectual property (IP) in promoting or hindering sustainable innovation now forms a topical issue in innovation management. Its role in the sustainable business model remains imperfectly understood however, creating a simplified view of IP in relation to corporate sustainable development. Hence, this study sought to examine how
Sarah van Santen
wiley +1 more source
A machine learning approach to risk based asset allocation in portfolio optimization. [PDF]
Agal S, Raulji K, Odedra ND.
europepmc +1 more source
The Effect of Carbon Disclosure Quality on Green Bond Financing Cost
ABSTRACT Existing research on financing costs primarily focuses on traditional financial factors, such as credit ratings, and offers limited examination of non‐financial information. This study examines the impact of the quality of carbon information disclosure on financing costs using a fixed‐effects panel regression, based on data from 166 Chinese ...
Siying Wang, Chaminda Wijethilake
wiley +1 more source
Advanced investing with deep learning for risk-aligned portfolio optimization. [PDF]
Nguyen MD.
europepmc +1 more source
ABSTRACT Social media platforms today have become essential for consumer‐brand interactions, with visual content playing a pivotal role in shaping engagement and brand perception. Although text‐based user‐generated content (UGC) has been widely studied, the potential of visual UGC, particularly in the travel, tourism and hospitality (TTH) sector ...
Chinchu Abraham +2 more
wiley +1 more source
Graph attention-based heterogeneous multi-agent deep reinforcement learning for adaptive portfolio optimization. [PDF]
Zhang B.
europepmc +1 more source
An analysis of machine learning risk factors and risk parity portfolio optimization.
Wu L +4 more
europepmc +1 more source
Stock Portfolio Optimization Using a Combined Approach of Multi Objective Grey Wolf Optimizer and Machine Learning Preselection Methods. [PDF]
Mazraeh NB +3 more
europepmc +1 more source

