Today the accurate prediction of stock price movement is one of the most effective tools for
investors. This prediction becomes more challenging when the stock market is naturally …

In this paper, two hybrid models are used for timing of the stock markets on the basis of the
technical analysis of Japanese Candlestick by Support Vector Machine (SVM) and Heuristic …

Purpose In this study, the central objective is to foresee stock market signals with the use of
a proper structure to achieve the highest accuracy possible. For this purpose, three hybrid …

Purpose In this research, the main purpose is to use a suitable structure to predict the
trading signals of the stock market with high accuracy. For this purpose, two models for the …

The number of projects run by companies has increased significantly over the last two
decades. Therefore, apart from the challenges associated with single-project realisation, the …

In this paper, a portfolio optimization model on the basis of the risk measure of lower partial
moment of the first order is discussed. Two meta‐heuristic methods of particle swarm …

Purpose The proposed model has been aimed to predict stock market signals by designing
an accurate model. In this sense, the stock market is analysed by the technical analysis of …

The number of projects undertaken by companies nowadays is significant. Therefore, there
is a need to establish processes in the company supporting and increasing project …

While a vast amount of literature shows that psychological factors are major pricing
determinants, portfolio optimization models ignore the emotional aspects of financial …

In this paper after a general literature review on the concept of Efficient Frontier (EF), an
important inadequacy of the Variance based models for deriving EFs and the high necessity …