This is a past event
The seminar will be held via Teams on January 29th from 3pm - 4:15pm (contact: bs-research@abdn.ac.uk for link).
Join Dr Meryem Schalck, Assistant Professor of Data Science at IPAG Business School.
Abstract:
This study examines the impact of climate risk-related scores on firm value across seven key global stock markets in the U.S., Europe, Canada, Japan, and China. Utilizing sustainability data from the London Stock Exchange Group’s DataStream, we applied machine learning techniques such as Ridge Regression, Lasso Regression, XGBoost, ElasticNet, Random Forest Regressor, and LGBM Regressor. Our results indicate that the Random Forest Regressor outperforms the other models according to the performance metrics. Additionally, SHAP (SHapley Additive exPlanations) values are used to analyze the outputs, which allows to interpret the contribution of each feature to the predictions. These findings reveal that CO2 emissions significantly influence firm value, while other sustainability factors are less impactful. This underscores the importance of standardized ESG datasets and their critical role in determining firm value, further highlighting the dominant role of CO2 emissions.
- Speaker
- Dr Meryem Schalck
- Hosted by
- University of Aberdeen Business School