The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Corporate Climate Risk: Measurements and Responses
Open accessAbstract
This paper conducts a textual analysis of earnings call transcripts to quantify climate risk exposure at the firm level. We construct dictionaries that measure physical and transition climate risks separately and identify firms that proactively respond to climate risks. Our validation analysis shows that our measures capture firm-level variations in respective climate risk exposure. Firms facing high transition risk, especially those that do not proactively respond, have been valued at a discount in recent years as aggregate investor attention to climate-related issues has been increasing. We document differences in how firms respond through investment, green innovation, and employment when facing high climate risk exposure.
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Cites
Measuring Economic Policy Uncertainty*
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Introduction to information retrieval
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When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks
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Irreversibility, Uncertainty, and Cyclical Investment
Bernanke, B. S. (1983) · The Quarterly Journal of Economics · doi:10.2307/1885568 · Cited by 4,112
Aggregate Confusion: The Divergence of ESG Ratings
Berg, F., Kölbel, J. F., & Rigobon, R. (2022) · Review of Finance · doi:10.1093/rof/rfac033 · Cited by 3,444
Do Investors Care about Carbon Risk?
Bolton, P., & Kacperczyk, M. (2021) · Journal of Financial Economics · doi:10.1016/j.jfineco.2021.05.008 · Cited by 3,380
Irreversibility, Uncertainty, and Investment
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Environmental externalities and cost of capital
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Firm-value effects of carbon emissions and carbon disclosures
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Cited by
Giglio, S., Kelly, B., & Stroebel, J. (2021) · Annual Review of Financial Economics · doi:10.1146/annurev-financial-102620-103311 · Cited by 908
Metadata
- Authors
- Li, Q., Shan, H., Tang, Y., & Yao, V.
- Venue
- The Review of Financial Studies
- Publisher
- Oxford University Press (OUP)
- Published
- 2024-01-16
- Volume
- 37
- Issue
- 6
- Pages
- 1778-1830
- ISSN
- 0893-9454 (ISSN-L)
- 1465-7368
- OpenAlex
- W4390954288
- Cited by
- 560
- References
- 71
- FWCI
- 12.67
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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