Stock2Vec: An Embedding to Improve Predictive Models for Companies

Understand

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.