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2023 Annual Conference

del 16 al 18 de May del 2023

Palace Station Hotel & Casino, Las Vegas, NV, US

IMPORTANT NOTICE: The date, time, and room assignment of YOUR presentation is SUBJECT TO CHANGE.

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Confirm your place in the schedule by following the instructionss that were emailed to you. Each presentation must have a separate paid registration. Contact the ACCI office immedicately by email at admin@consumerinterests.org to report any conflict, all corrections to the details of the presentation (including author names and the order they are listed as this is how it will be in the final program), or if you have any questions. Please be sure to reference the session title(s), date(s), and time(s) when you contact us.

E1d Using Machine Learning to Predict Young Adult’s Financial Behavior

miércoles, el 17 de mayo de 2023 a las 15:45–17:15 PDT
Room 1
Short Description

The purpose of this study is to investigate the role of non-credit information in predicting less than optimal financial behaviors. In this study, we test whether individual characteristics, financial status, financial education, and financial knowledge successfully predict AFS usage by using machine learning methodologies. For the ACCI conference, we expect to expand this to credit usage in addition to AFS usage. We evaluate the performance of our machine learning model and suggest the criteria to choose the optimal models based on the prediction purposes.

Type of presentation

Accepted Oral Presentation

Submitter

Namhoon Kim, Pusan National University

Authors

Namhoon Kim, Pusan National University
Travis Mountain, University of Alabama
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