Determinants of Investment Fraud

View this record at source repository
Description:
This research aims to examine investment fraud cases in Canada by coding cases retrieved from the Investment Industry Regulatory Organization of Canada's website. The dataset consists of features related to enforcement, offenders, and victims and consists of numeric, float, and categorical variables. This research will contribute to understanding investment fraud in Canada and provide information that can be used to prevent and detect investment fraud.
Author(s):
Lokanan, Mark

Lokanan, Mark

Royal Roads University
0000-0002-2099-0115
Contributor(s):
Meredith, Will and Lokanan, Mark
Source Repository:
Royal Roads University Dataverse
Publisher(s):
Borealis
Access:
Public
URL:
https://doi.org/10.5683/SP3/Q3K08Q
Publication date:
2022-09-28
Subjects:
Computer and Information Science, Business and Management
Keywords:
Artificial intelligence, Machine learning,, Securities fraud, Securities regulation, and Regulatory compliance
Identifier:
https://doi.org/10.5683/SP3/Q3K08Q

Geospatial information

There is no geographic information available for this record.
Select geospatial feature(s) to view on map:
View this record at source repository
Note: Up to 1000 features for each file are displayed

Citation

APA Citation:
Lokanan, M. (2022). Determinants of Investment Fraud [Data set]. Royal Roads University Dataverse. https://doi.org/10.5683/SP3/Q3K08Q
Citation copied to clipboard
Export to citation manager: