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Citing UNT: Scholarly Works that have Utilized UNT Resources
This document is a citation list of the scholarly works that were found to have utilized University of North Texas (UNT) resources.
Date:
2011
Creator:
Wilson, Kristi & LeBlanc, Danielle
System:
The UNT Digital Library
Stock2Vec: An Embedding to Improve Predictive Models for Companies
Building predictive models for companies often relies on inference using historical data of companies in the same industry sector. However, companies are similar across a variety of dimensions that should be leveraged in relevant prediction problems. This is particularly true for large, complex organizations which may not be well defined by a single industry and have no clear peers. To enable prediction using company information across a variety of dimensions, we create an embedding of company stocks, Stock2Vec, which can be easily added to any prediction model that applies to companies with associated stock prices. We describe the process of creating this rich vector representation from stock price fluctuations and characterize what the dimensions represent. We then conduct comprehensive experiments to evaluate this embedding in applied machine learning problems in various business contexts. Our experiment results demonstrate that the four features in the Stock2Vec embedding can readily augment existing cross-company models and enhance cross-company predictions.
Date:
June 2022
Creator:
Yi, Ziruo; Xiao, Ting; Kaz-Onyeakazi, Ijeoma; Ratnam, Cheran; Medeiros, Theophilus; Nelson, Phillip et al.
System:
The UNT Digital Library