Regime-Aware Asset Allocation Through Recurrent Neural Networks: Machine Learning Approaches to Adaptive Investment Strategy Development

Authors

  • Matej Rojc Professor of Computer Science, University of Ljubljana

Keywords:

regime-aware asset allocation, recurrent neural networks, machine learning approaches to adaptive investment strategy development

Abstract

Meet the worlds of artificial intelligence (AI) and investing. These separate worlds are now coming together to transform not only how investment strategies are developed, but also who develops them and what can be done with them to address specific investment and operational challenges.

Downloads

Published

30-06-2026

How to Cite

[1]
“Regime-Aware Asset Allocation Through Recurrent Neural Networks: Machine Learning Approaches to Adaptive Investment Strategy Development”, Blockchain Tech. & Distributed Sys., vol. 6, no. 1, pp. 1–9, Jun. 2026, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/btds/article/view/863