Determinants of Investment Fraud

Version 1.1
Lokanan, Mark, 2022, "Determinants of Investment Fraud", https://doi.org/10.5683/SP3/Q3K08Q, Borealis, V1
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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.
Subject Business and Management; Computer and Information Science
Keyword Machine learning,, Artificial intelligence, Securities fraud, Securities regulation, Regulatory compliance
Related Publication "Determinants of Investment Fraud: A Machine Learning and Artificial Intelligence Approach" in Frontiers in Big Data. 10.3389/fdata.2022.961039 - Fuller citation details forthcoming issn: 2624-909X
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