Search

Start Over Degree B S Year 2017 Keyword S&P500

1. A representation of investor learning behavior through cellular genetic algorithms

open_access
Open Access
Author:
Peredo Centellas, Alvaro Ramiro
Title:
A representation of investor learning behavior through cellular genetic algorithms
Area of Honors:
Finance
Keywords:
Genetic Algorithm
GA
Learning Behavior
Finance
Mathematics
Programming
Python
Evolutionary Algorithm
Cellular
Volatility
Technical Analysis
INX
S&P500
Investor
Population
Mutation Rate
Crossover Rate
Natural Selection
Evolution
Genes
File:
Download A_Representation_of_Investor_Learning_Behavior_Through_Cellular_Genetic_Algorithms_Peredo_Alvaro.pdf
Thesis Supervisors:
Jingzhi Huang, Thesis Supervisor
Dr. Brian Spangler Davis, Thesis Honors Advisor