A Methodology For Aiding Investment Decision Between Assets In Stock Markets Using Artificial Neural Network
This paper outlines a methodology for aiding the decision making process for investment between two financial market assets (e.g. a risky asset versus a risk-free asset), using neural network architecture. A Feed Forward Neural Network (FFNN) and a Radial Basis Function (RBF) Network have been evaluated. The model is employed for arriving at a decision as to where to invest in the next time step, given data from the current time step. The time step could be chosen on daily/weekly/monthly basis, based on the investment requirement.