Neural Network Model for Predicting Takeover Targets

Houck, Ernest Scott

Neural Network Model for Predicting Takeover Targets 45 views

Author

Houck, Ernest Scott, Electrical & Computing Engineering, University of Virginia

Abstract

The most prominent type of neural network, which employs backpropagation, has already been applied to many of the traditional problems in the field of finance such as bankruptcy prediction. The goal of this study is to determine whether or not simple backpropagation networks can be used to predict takeover targets as successfully as traditional financial models. The purpose of this project was to create and test such a network.

Degree

BS (Bachelor of Science)

Keywords

neural networking; artificial intelligence; finance

Notes

Variant title: Impact Statement for A Neural Network Model for Predicting Takeover Targets.

Language

English

Rights

Issued Date

1992-01-01

Persistent Link

https://doi.org/10.18130/r8c5-s543

Suggested Citation

Houck, Ernest Scott. Neural Network Model for Predicting Takeover Targets. University of Virginia, Electrical & Computing Engineering, BS (Bachelor of Science), 1992-01-01, https://doi.org/10.18130/r8c5-s543.

Files

This item is restricted to UVA until 2122-01-01.