Published artciles
[2] Is monetary policy transmission green?, with Leroy Aurélien (University of Bordeaux) and Louis Raffestin (University of Bordeaux), in Economic Modelling, March 2025, Volume 144.
This paper examines whether traditional monetary policy affects firms differently based on their carbon emissions—a previously unexplored driver of monetary policy non-neutrality. We develop a theoretical model predicting that carbon-intensive (brown) firms are more sensitive to monetary policy shocks due to investor preferences for ”green” assets. We test this prediction using stock price data from U.S. firms between 2010 and 2019. Our findings confirm that brown firms are more sensitive to monetary policy shocks than green firms. This heightened sensitivity persists even after controlling for financial constraints and intensifies with rising climate awareness among investors. Our results suggest that traditional monetary policy is not carbon-neutral and unintentionally amplifies biases related to carbon emissions, highlighting important considerations for policymakers. (Available here)
We study the stock returns of firms participating at the European Union Exchange Trading Scheme (EU ETS), which are mostly high-greenhouse gas emitters from the energy sector, or very energy-consuming industries. This cap and trade scheme implies that high emitters (brown firms) must buy allowances for emission from low emitters (green firms). Thus, authorities require that CO2-equivalent emissions be verified by independent third-party carbon auditors. As a consequence our data is less prone to a greenwashing bias, in contrast with the literature which uses firms-provided, or data vendor-estimated emissions. In this particular framework, we show that green firms’ returns outperform brown ones, with an excess annual return between 6.6% and 7.9% across different variants, and with a slightly higher risk. Our results thus show that allowances scheme do modify the risk-return profile of stocks, which can provide a financial incentive to consider emissions in investment decisions. To favor ecological transition, policymakers could then generalize emissions trading schemes and independent audits of emissions, and increase the cost of allowances. (Available here)
[1] Verified carbon emissions and stock returns, with Sébastien Galanti (University of Orléans) in Energy Policy, October 2024, Volume 194.
"Carbon transition risk and climate laws in United States", DR LEO 2023-22.
In this study, we investigate the influence of U.S. climate legislation on the relationship between carbon emissions of S&P 500 firms and their stock returns from 2010 to 2019. We use reported total carbon emissions as our primary measure for carbon transition risk and and rely on a novel public database on climate laws to construct a climate law index. Our findings primarily indicate that investors price carbon transition risk based on emission levels rather than emission intensity. Specifically, an increase of one standard deviation in total emissions is associated with a 2.8% decrease in stock returns. However, the persistent negative relationship between carbon emissions and stock returns post-climate law implementation is not evident. Further investigations show that high climate change awareness amplifies the negative effect on “brown” stocks post-climate law introduction, suggesting a shift in investor sentiment towards greater climate risk perception. Nonetheless, our findings suggest that these effects might diminish over time without continuous strengthening of climate legislation. (Available here)
Benchora, I., D'Andria, J., Lock, D. and Visani, A. (2025). Climate disasters and insurance premia.
Benchora, I., Visani, A. and Boublil-Groh, C. (2025). Nature-related financial risks and the real economy.
Benchora, I. (2024). Credibility of environmental policy and stock market returns.
Benchora, I. and Leroy, A. (2023). Are sell-side analysts revising their expectations with climate change concerns?
Avril, P., Benchora, I. and Levieuge, G. (2023). Climate risks and inflation expectations.