JSAI Technical Report, Type 2 SIG
Online ISSN : 2436-5556
Selection of comparable company using patent document vectors
Shohei FUJIWARAYusuke MATSUMOTOAiko SUGEHiroshi TAKAHASHI
Author information
RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

2019 Volume 2019 Issue BI-013 Pages 02-

Details
Abstract

The number of M&A and IPO implementations has been increasing year by year, and the capitalmarket has become more active. Along with those situations, when a manager examines M&A and IPO, thecorporate value calculation is an important decision-making index. This paper attempts to improve theaccuracy of selecting similar companies in the process of comparable company analysis and DCF methods.Specifically, Sparse Composite Document Vector (SCDV) was created based on published patentdocuments. Next, similar companies were selected by calculating the distance between companies from thedocument vector made by SCDV.

Content from these authors
© 2019 Authors
Previous article Next article
feedback
Top