Journal article
The Effect of Innovation Similarity on Asset Prices: Evidence from Patents' Big Data
Review of asset pricing studies, v 13(1), pp 99-145
17 Feb 2023
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Through textual analyses of 7.7 million patents, we develop a novel intercompany innovation similarity measure which enables us to find that technologically connected firms cross-predict one another's returns. Investors impound information about firms' technological connectedness, although not immediately and fully. Buying (shorting) shares of technological peers earning high (low) returns during the previous month yields a 1.29% monthly return. Firms' return predictability increases with patent complexity or limited technological disclosures but decreases with better information transparency. Results suggest that investor inattention explains technology momentum. Unlike momentum stemming from simpler, class-based technological links, our Big Data text-based return predictability remains active. (JEL G11, G12, G14, O31, C55) Received June 9, 2021; editorial decision June 7, 2022 by editor Jeffrey Pontiff. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.
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Details
- Title
- The Effect of Innovation Similarity on Asset Prices: Evidence from Patents' Big Data
- Creators
- Ron Bekkerman - Cherre Inc. , U.S.AEliezer M. Fich (Corresponding Author) - Drexel UniversityNatalya Khimich - Drexel University
- Publication Details
- Review of asset pricing studies, v 13(1), pp 99-145
- Publisher
- Oxford University Press
- Number of pages
- 47
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Accounting; Finance
- Web of Science ID
- WOS:000840131600001
- Scopus ID
- 2-s2.0-85160833334
- Other Identifier
- 991020542466604721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Business, Finance