TY - GEN
T1 - Constructing a valuation system through patent document analysis
AU - Fujiwara, Shohei
AU - Matsumoto, Yusuke
AU - Suge, Aiko
AU - Takahashi, Hiroshi
N1 - Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2020.
PY - 2020
Y1 - 2020
N2 - In the Initial Public Offering (IPO), many prior studies have discussed underpricing, where the public price is below the initial price. In this study, we propose a novel system for company valuation employing patent document analysis. Specifically, we first extracted patent document data published from 2001 to 2015 and vectorize them through Sparse Composite Document Vectors (SCDV). Similar companies in this study refer to the same industry, products handled, and business scale. However, there are various theories on what should be treated as similar companies. Next, the center of gravity is calculated from the vectorized patent document, and comparable companies are selected by expressing the distance between companies. A detailed analysis is planned for further study.
AB - In the Initial Public Offering (IPO), many prior studies have discussed underpricing, where the public price is below the initial price. In this study, we propose a novel system for company valuation employing patent document analysis. Specifically, we first extracted patent document data published from 2001 to 2015 and vectorize them through Sparse Composite Document Vectors (SCDV). Similar companies in this study refer to the same industry, products handled, and business scale. However, there are various theories on what should be treated as similar companies. Next, the center of gravity is calculated from the vectorized patent document, and comparable companies are selected by expressing the distance between companies. A detailed analysis is planned for further study.
KW - Corporate finance
KW - Natural language processing
KW - Patent
KW - Sparse Composite Document Vectors
KW - Valuation
UR - http://www.scopus.com/inward/record.url?scp=85086076657&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85086076657&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-5764-4_30
DO - 10.1007/978-981-15-5764-4_30
M3 - Conference contribution
AN - SCOPUS:85086076657
SN - 9789811557637
T3 - Smart Innovation, Systems and Technologies
SP - 321
EP - 330
BT - Agents and Multi-Agent Systems
A2 - Jezic, G.
A2 - Kusek, M.
A2 - Chen-Burger, J.
A2 - Sperka, R.
A2 - Howlett, Robert J.
A2 - Howlett, Robert J.
A2 - Jain, Lakhmi C.
A2 - Jain, Lakhmi C.
A2 - Jain, Lakhmi C.
PB - Springer
T2 - 14th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2020
Y2 - 17 June 2020 through 19 July 2020
ER -