Dynamic portfolio rebalancing through reinforcement learning

QYE Lim, Q Cao, C Quek - Neural Computing and Applications, 2022 - Springer
Portfolio managements in financial markets involve risk management strategies and
opportunistic responses to individual trading behaviours. Optimal portfolios constructed aim …

Real-time portfolio management system utilizing machine learning techniques

PK Aithal, M Geetha, U Dinesh, B Savitha… - IEEE access, 2023 - ieeexplore.ieee.org
There are 1641 companies listed on the National Stock Exchange of India. It is undoubtedly
infeasible for a retail investor to invest in all the stocks. It is a well-known fact that the …

Hybrid computational intelligence algorithm for autonomous handling of COVID-19 pandemic emergency in smart cities

M Abdel-Basset, KA Eldrandaly, LA Shawky… - Sustainable Cities and …, 2022 - Elsevier
New cities exploit the smartness of the IoT-based architecture to run their vital and
organizational processes. The smart response of pandemic emergency response services …

An advanced optimization approach for long-short pairs trading strategy based on correlation coefficients and bollinger bands

CH Chen, WH Lai, ST Hung, TP Hong - Applied Sciences, 2022 - mdpi.com
In the financial market, commodity prices change over time, yielding profit opportunities.
Various trading strategies have been proposed to yield good earnings. Pairs trading is one …

Stock portfolio management in the presence of downtrends using computational intelligence

R Díaz, E Solares, V de-León-Gómez, FG Salas - Applied Sciences, 2022 - mdpi.com
Stock portfolio management consists of defining how some investment resources should be
allocated to a set of stocks. It is an important component in the functioning of modern …

A genetic algorithm approach to optimal Asset allocation of defined contribution pension funds: Evidence from India's national pension system

KK Prasad, A Ghosh - Compensation & Benefits Review, 2024 - journals.sagepub.com
Life cycle asset allocation has recently gained popularity and is the default option in pension
funds worldwide. A line of recent studies has refuted its glory and argues that a balanced …

Quantum-inspired Computing: Entanglement-enhanced Technique for Short Portfolio in Global Markets

YC Jiang, YT Lai, PC Chen, YY Chang… - 2023 IEEE 23rd …, 2023 - ieeexplore.ieee.org
Portfolio optimization is an essential aspect of the development of quantum computing. The
quantum-inspired op-timization (QIO) algorithm facilitates an efficient search for the optimal …

[HTML][HTML] A Novel Approach to Predict the Asian Exchange Stock Market Index Using Artificial Intelligence

R Salgotra, H Singh, G Kaur, S Singh, P Singh… - Algorithms, 2024 - mdpi.com
This study uses real-world illustrations to explore the application of deep learning
approaches to predict economic information. In this, we investigate the effect of deep …

[Retracted] Low‐Power Task Scheduling Algorithm for the Multicore Processor System Based on the Genetic Algorithm

X Li - Wireless Communications and Mobile Computing, 2022 - Wiley Online Library
In order to solve the periodic hard real‐time tasks with dependencies on multicore
processors, the author proposes a low‐power task scheduling algorithm for multicore …

A Comprehensive Soft Computing-Based Approach to Portfolio Management by Discarding Undesirable Stocks

E Solares, FG Salas, V De-Leon-Gomez, R Díaz - IEEE Access, 2022 - ieeexplore.ieee.org
Stock markets play a crucial role in modern society. Many individuals and organizations try
to improve their performance in these markets by exploiting approaches that consider …