Stock market trading has been a subject of interest to investors, academicians, and
researchers. Analysis of the inherent non-linear characteristics of stock market data is a …

In portfolio optimization (PO), often, a risk measure is an objective to be minimized or an
efficient frontier representing the best tradeoff between return and risk is sought. In order to …

Incorporating return prediction in portfolio optimization can make portfolio optimization more
efficient by selecting the stocks expected to perform well in the future. This paper proposes a …

Particle swarm optimization is a stochastic optimization, evolutionary and simulating
algorithm derived from human behaviour and animal behaviour as well. Special property of …

Stock market volatility has a significant impact on many economic and financial activities in
the world. Forecasting stock price movement plays an important role in setting an investment …

Stock traders consider several factors or objectives in making decisions. Moreover, they
differ in the importance they attach to each of these objectives. This requires a tool that can …

Predicting stock-price remains an important subject of discussion among financial analysts
and researchers. However, the advancement in technologies such as artificial intelligence …

This paper presents an overview of the research progress in Particle Swarm Optimization
(PSO) during 1995–2017. Fifty two papers have been reviewed. They have been …

Forecasting accurate future price is very important in financial sector. An optimized Support
Vector Machine (SVM) based on Particle Swarm Optimization (PSO) is introduced in …

Optimization is a mathematical technique that concerns the finding of maxima or minima of
functions in some feasible region. There is no business or industry which is not involved in …