Submission Title

Calculating Stock Fluctuation to Optimize Portfolio Gains using ANNs and CAPM

Session Number

RS1

Location

Robinson 141

Abstract Number

RS1-b

Abstract

The purpose of this research is to show the thought process that goes into creating an AI for stock prediction. It will explain the foundations for the fundamental concepts needed to further investigate this field. For this project I will be using an Automatic Neural Network to analyze previously known data to develop a logical prediction value with 95% certainty. Then using the values obtained by the ANN, I will implement the Capital Asset Pricing Model to determine which stocks should be invested in. This will then lead to a greatly optimized portfolio and improved gains.

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Apr 23rd, 9:00 AM Apr 23rd, 10:30 AM

Calculating Stock Fluctuation to Optimize Portfolio Gains using ANNs and CAPM

Robinson 141

The purpose of this research is to show the thought process that goes into creating an AI for stock prediction. It will explain the foundations for the fundamental concepts needed to further investigate this field. For this project I will be using an Automatic Neural Network to analyze previously known data to develop a logical prediction value with 95% certainty. Then using the values obtained by the ANN, I will implement the Capital Asset Pricing Model to determine which stocks should be invested in. This will then lead to a greatly optimized portfolio and improved gains.