Data-Driven Classification of Pharmaceutical and Biotechnology Companies

This study presents a novel approach for classifying biopharmaceutical companies from 2000 to 2023. We use fundamental financial data, 10-K filings, and company drug development data to develop this new classification scheme. Return correlations are used to measure the similarity of companies within a cluster, and our analysis demonstrates that this data-driven improves upon industry standards. Additionally, we evaluate the risk-return characteristics of the clusters developed from this classification scheme as consideration for investment opportunities in these industries.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2024

Author dc:creator

• Xu, Angelina

Advisor dc:contributor.advisor

• Lo, Andrew

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright retained by author(s)

Licence dc:rights.uri

• https://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/156942

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/156942