The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Pricing Climate Change Exposure
Open accessAbstract
We estimate the risk premium for firm-level climate change exposure among S&P 500 stocks and its time-series evolution between 2005 to 2020. Exposure reflects the attention paid by market participants in earnings calls to a firm’s climate-related risks and opportunities. When extracted from realized returns, the unconditional risk premium is insignificant but exhibits a period with a positive risk premium before the financial crisis and a steady increase thereafter. Forward-looking expected return proxies deliver an unconditionally positive risk premium with maximum values of 0.5%–1% p.a., depending on the proxy, between 2011 and 2014. The risk premium has been lower since 2015, especially when the expected return proxy explicitly accounts for the higher opportunities and lower crash risks that characterize high-exposure stocks. This finding arises as the priced part of the risk premium primarily originates from uncertainty about climate-related upside opportunities. In the time series, the risk premium is negatively associated with green innovation; Big Three holdings; and environmental, social, and governance fund flows and positively associated with climate change adaptation programs. This paper was accepted by Colin Mayer, Special Section of Management Science on Business and Climate Change. Funding: Funding is provided by the Deutsche Forschungsgemeinschaft [Grant 403041268 – TRR 266] (L. van Lent and R. Zhang), the Institute for New Economic Thinking (L. van Lent), the 111 Project [Grant B18033] (R. Zhang), the Shanghai Pujiang Program (R. Zhang), and the Ministry of Education Project of Key Research Institute of Humanities and Social Science (R. Zhang). Supplemental Material: The online appendix and data are available at https://doi.org/10.1287/mnsc.2023.4686 .
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
On Persistence in Mutual Fund Performance
Carhart, M. M. (1997) · The Journal of Finance · doi:10.1111/j.1540-6261.1997.tb03808.x · Cited by 17,283
The Cross‐Section of Expected Stock Returns
FAMA, E. F., & FRENCH, K. R. (1992) · The Journal of Finance · doi:10.1111/j.1540-6261.1992.tb04398.x · Cited by 17,261
Newey, W. K., & West, K. D. (1987) · Econometrica · doi:10.2307/1913610 · Cited by 16,936
Risk, Return, and Equilibrium: Empirical Tests
Fama, E. F., & MacBeth, J. D. (1973) · Journal of Political Economy · doi:10.1086/260061 · Cited by 14,258
A five-factor asset pricing model
Fama, E. F., & French, K. R. (2015) · Journal of Financial Economics · doi:10.1016/j.jfineco.2014.10.010 · Cited by 7,852
Consistent Covariance Matrix Estimation with Spatially Dependent Panel Data
Driscoll, J. C., & Kraay, A. C. (1998) · Review of Economics and Statistics · doi:10.1162/003465398557825 · Cited by 6,865
When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks
LOUGHRAN, T., & MCDONALD, B. (2011) · The Journal of Finance · doi:10.1111/j.1540-6261.2010.01625.x · Cited by 6,015
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
Flammer, C. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3125518 · Cited by 2,901
Sustainable investing in equilibrium
Pástor, Ľ., Stambaugh, R. F., & Taylor, L. A. (2021) · Journal of Financial Economics · doi:10.1016/j.jfineco.2020.12.011 · Cited by 2,226
Cited by
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
Metadata
- Authors
- Sautner, Z., van Lent, L., Vilkov, G., & Zhang, R.
- Venue
- Management Science
- Published
- 2023-12
- Volume
- 69
- Issue
- 12
- Pages
- 7540-7561
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W4376287019
- Cited by
- 280
- References
- 45
- FWCI
- 55.41
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Pricing Climate Change Exposure. https://app.cochat.ai/papers/10.1287/mnsc.2023.4686
- The paper
- Sautner, Z., van Lent, L., Vilkov, G., & Zhang, R. (2023). Pricing Climate Change Exposure. Management Science. https://doi.org/10.1287/mnsc.2023.4686
Data sources
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.