Utilizing Natural Language Processing and other Technical Tools to Automate the Financial Modeling Process while Maintaining Robustness in the Model

Short, Robert Forrest (2017) Utilizing Natural Language Processing and other Technical Tools to Automate the Financial Modeling Process while Maintaining Robustness in the Model. Undergraduate thesis, under the direction of Dawn Wilkins from Computer Science, University of Mississippi.

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Abstract

The objective of this thesis is to improve upon the most commonly utilized, entirely manual financial modeling process. This thesis gives guidance for implementing a set of technical tools that can be utilized in an individual’s financial modeling process to automate repetitive and predictable tasks. The goal is not to provide a robust set of tools that can be implemented across all financial models; in fact, this may not be possible. The goal is to provide a basis for anyone who utilizes financial modeling to study their own modeling processes and adapt the given tools to fit into and improve their unique process.

Item Type: Thesis (Undergraduate)
Creators: Short, Robert Forrest
Student's Degree Program(s): B.S. in Computer Science
Thesis Advisor: Dawn Wilkins
Thesis Advisor's Department: Computer Science
Institution: University of Mississippi
Subjects: T Technology > T Technology (General)
Depositing User: Mr. Robert Short
Date Deposited: 19 May 2017 18:24
Last Modified: 19 May 2017 18:24
URI: http://thesis.honors.olemiss.edu/id/eprint/945

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