Over the years, Artificial Neural Networks (ANNs) have become a popular and seemingly accurate model to forecast stock … prices. This paper proposes data preprocessing using relative movement to improve performance of ANN-based stock forecasting … Thailand (SET). The experiments show that the proposed model outperforms a traditional model, a random walk model, and a buy …

historical stock price data. Nevertheless, their performance is not always satisfactory. In this paper, the effect of using …

architecture. A baseline neural network model was developed using GFF architecture. The performance of the baseline model was … evaluated by using representative large-cap stocks in six critical industrial sectors. Key performance measures, which included …

stock market performance of those companies. This paper describes a Neural Logic Network (NLN) for predicting stock market …. The results show that evolutionary knowledge improved performance but financial knowledge did not. The specifics of the …

stock market performance of those companies. This paper describes a Neural Logic Network (NLN) for predicting stock market …. The results show that evolutionary knowledge improved performance but financial knowledge did not. The specifics of the …

This study examines the effect of ownership structure on corporate performance of Thai non-financial firms between 1993 … ownership and 3. managerial ownership. It adopted Market Returns (MR) and accounting ratios as measures of performance. It … reports that there is a positive association between concentrated ownership and firm performance. The results show that …

evaluate the performance of internet banking in Thailand. This study reveals that a perception of insufficient security is the …