Introduction to the theory of neural computation
Introduction to the theory of neural computation
Financial Prediction Using Neural Networks
Financial Prediction Using Neural Networks
Neural Networks in the Capital Markets
Neural Networks in the Capital Markets
Neural Network Solutions for Trading in Financial Markets
Neural Network Solutions for Trading in Financial Markets
Artificial Neural Networks: Approximation and Learning Theory
Artificial Neural Networks: Approximation and Learning Theory
Decision Support Systems - Special issue: Data mining for financial decision making
Neural Networks in Finance: Gaining Predictive Edge in the Market (Academic Press Advanced Finance Series)
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The objective of this paper is to propose an intelligent computing algorithm, represented by an artificial neural network model, to analyze the dynamics of stock prices of banks. Through the empirical application of the model developed, it is expected to obtain indications about the ability of the artificial neural network model developed to generalize the phenomenon analyzed. So the research aims to provide empirical results about the use of non-linear methods of analysis for the study of the dynamics of banks' stock prices, enriching the prospects for research in terms of methodological tools.