The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
A Text-Based Analysis of Corporate Innovation
Open accessAbstract
We develop a new measure of innovation using the text of analyst reports of S&P 500 firms. Our text-based measure gives a useful description of innovation by firms with and without patenting and R&D (research and development). For nonpatenting firms, the measure identifies innovative firms that adopt novel technologies and innovative business practices (e.g., Walmart’s cross-geography logistics). For patenting firms, the text-based measure strongly correlates with valuable patents, which likely capture true innovation. The text-based measure robustly forecasts greater firm performance and growth opportunities for up to four years, and these value implications hold just as strongly for innovative nonpatenting firms. This paper was accepted by Gustavo Manso, finance.
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Finance and Corporate Innovation: A Survey
He, J. (., & Tian, X. (2018) · Asia-Pacific Journal of Financial Studies · doi:10.1111/ajfs.12208 · Cited by 282
Sustainable finance literacy and the determinants of sustainable investing
Filippini, M., Leippold, M., & Wekhof, T. (2024) · Journal of Banking & Finance · doi:10.1016/j.jbankfin.2024.107167 · Cited by 144
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Citations and the readers’ information-extracting costs of finance articles
Berninger, M., Kiesel, F., Schiereck, D., & Gaar, E. (2021) · Journal of Banking & Finance · doi:10.1016/j.jbankfin.2021.106188 · Cited by 12
Metadata
- Authors
- Bellstam, G., Bhagat, S., & Cookson, J. A.
- Venue
- Management Science
- Published
- 2021-07
- Volume
- 67
- Issue
- 7
- Pages
- 4004-4031
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W3123359366
- Cited by
- 355
- References
- 73
- FWCI
- 25.08
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
