Final Project
BUSI 650
The extent of company fraud analysis will focus on financial
statement manipulation inside individual organizations across
diverse industries
, 1- Introduction (a brief description of the scope, research questions, research sub
questions) (2.5 marks)
The study is mainly focused on company fraud analysis and in this regard, the dataset is given as
“FinalData_group 3_Updated_V1”. There are different attributes and from them return of asset,
current ratio, account receivable turnover, asset turnover, non-profit margin, account payable
turnover, and more are measurable factors to analyze the given data.
In order to discuss scope of this study, the extent of company fraud analysis will focus on
financial statement manipulation inside individual organizations across diverse industries. We'll
use quantitative data like monetary reports, exchange records, and correspondence logs to
distinguish warnings and evaluate risk. The study means to convey a fraud analysis featuring
potential preventative measures, suggesting potential fraud patterns, and giving an establishment
to further investigations.
Research questions:
What is the rating of fraud and non-fraud in the regard of analyzing company fraud data on the
basis of a given dataset?
Research sub-questions:
What is the return of equity based on fraud and non-fraud?
What is the return of assets based on fraud and non-fraud?
What is the R-score based on fraud and non-fraud?
What ML technique to be used for better analysing in the regard of fraud and non-fruad?
2- Brief Description of the different techniques used for the analysis – (What are these
techniques and why are you using them?) (5 marks)
Linear regression has been used as the best ML algorithm in this context. The main reason
behind selecting Linear regression is that linear regression is a useful tool for distinguishing
possible anomalies and quantifying fraud risk in company analysis. After that, it ought to be
utilized related to different strategies to give a more far reaching and dependable picture.
Consider its strengths and weaknesses corresponding to particular objectives and information to
BUSI 650
The extent of company fraud analysis will focus on financial
statement manipulation inside individual organizations across
diverse industries
, 1- Introduction (a brief description of the scope, research questions, research sub
questions) (2.5 marks)
The study is mainly focused on company fraud analysis and in this regard, the dataset is given as
“FinalData_group 3_Updated_V1”. There are different attributes and from them return of asset,
current ratio, account receivable turnover, asset turnover, non-profit margin, account payable
turnover, and more are measurable factors to analyze the given data.
In order to discuss scope of this study, the extent of company fraud analysis will focus on
financial statement manipulation inside individual organizations across diverse industries. We'll
use quantitative data like monetary reports, exchange records, and correspondence logs to
distinguish warnings and evaluate risk. The study means to convey a fraud analysis featuring
potential preventative measures, suggesting potential fraud patterns, and giving an establishment
to further investigations.
Research questions:
What is the rating of fraud and non-fraud in the regard of analyzing company fraud data on the
basis of a given dataset?
Research sub-questions:
What is the return of equity based on fraud and non-fraud?
What is the return of assets based on fraud and non-fraud?
What is the R-score based on fraud and non-fraud?
What ML technique to be used for better analysing in the regard of fraud and non-fruad?
2- Brief Description of the different techniques used for the analysis – (What are these
techniques and why are you using them?) (5 marks)
Linear regression has been used as the best ML algorithm in this context. The main reason
behind selecting Linear regression is that linear regression is a useful tool for distinguishing
possible anomalies and quantifying fraud risk in company analysis. After that, it ought to be
utilized related to different strategies to give a more far reaching and dependable picture.
Consider its strengths and weaknesses corresponding to particular objectives and information to
