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.

Provided by: International Journal of Computer Science Issues Topic: Data Centers Date Added: Nov 2010 Format: PDF

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