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Designing A Novel Model For Stock Price Prediction Using An Integrated Multi-Stage Structure: The Case Of The Bombay Stock Exchange, Mojtaba Sedighi, Fereydoon Rahnamay Roodposhti
Designing A Novel Model For Stock Price Prediction Using An Integrated Multi-Stage Structure: The Case Of The Bombay Stock Exchange, Mojtaba Sedighi, Fereydoon Rahnamay Roodposhti
Australasian Accounting, Business and Finance Journal
Stock price prediction is considered a strategic and challenging issue in the stock markets. Considering the complexity of stock market data and price fluctuations, the improvement of effective approaches for stock price prediction is a crucial and essential task. Therefore, in this study, a new model based on “Adaptive Neuro-Fuzzy Inference System (ANFIS), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA)” is employed to predict stock price accurately. ANFIS has been utilized to predict stock price trends more precisely. PSO executes towards developing the vector, and GA has been utilized to adjust the decision vectors employing genetic operators. The stock …