An article titled “Mathematical Optimization of Monte Carlo Simulation Parameters for Stock Price Prediction” by Asst. Prof. Dr. Sajedeh Norozpour SIGAROODI, a faculty member of our department, has been published in the International Journal of Engineering Technologies.
The study focuses on the use of the Monte Carlo simulation method for stock price prediction, which holds great significance for individual investors. By implementing the simulation step-by-step using Python and emphasizing parameter optimization, the research aims to improve model accuracy. Comparative analysis with other forecasting models reveals the strength of Monte Carlo simulation, particularly in evaluating financial risks and returns.
The article also explores real-world applications such as portfolio optimization and retirement planning, highlighting the practical value of the method in complex financial decision-making processes. It offers valuable insights into probabilistic forecasting approaches for investors seeking effective tools for stock price prediction.
We congratulate Asst. Prof. Dr. Sajedeh Norozpour SIGAROODI on this valuable contribution and wish her continued success in her academic journey.
