Prisadarng Skolpadungket

Learn More
Modeling stock returns requires selections of appropriate input variables. For an Artificial Neural Network, the appropriate input variables have both linear and nonlinear functional relationship with stock returns as output variables. To capture the non-linear relationships, we propose Weierstrass theorem. However, to estimate the relationships for all(More)
Several models and techniques have been used to forecast stock returns. Some previous researches have applied Evolutionary Artificial Neural Networks to predict stocks prices. The most of previous researches have been concentrated on either predict stock indexes or trends rather than individual stock returns. In this paper, we use the adaptive EANNs to(More)
  • 1