eHT Explore

Start Over Area of Honors Finance Year 2017 Thesis Supervisor Jingzhi Huang Keyword Population Author Last Name Peredo Centellas

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