---
title: Climate Change and Shareholder Value: Evidence from Textual Analysis and Trump’s Unexpected Victory
url: https://www.ml-quant.com/papers/ssrn/4831364/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4831364
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4831364
featured: 2024-05-22
citations: 18
topic: LLMs & Text
---


# Climate Change and Shareholder Value: Evidence from Textual Analysis and Trump’s Unexpected Victory

Companies more susceptible to climate change saw negative market reactions after Donald Trump's unexpected 2016 election victory, showing the impact of political stances on climate change on company value and shareholder wealth.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4831364
- Identifier: SSRN 4831364
- Released: 2024-05-17
- First featured: Quant Letter No. 50 (2024-05-22): https://www.ml-quant.com/issues/2024-05-22/
- Citations (Semantic Scholar): 18
- Published in: not yet
- Topic: LLMs & Text

## Related

- [Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together](https://www.ml-quant.com/papers/arxiv/2407.10930/): The article explores a method to enhance Natural Language Processing systems by simultaneously optimizing language model weights and prompting strategies, leading to significant improvements in tasks like multi-hop QA and mathematical reasoning.
- [Planning In Natural Language Improves LLM Search For Code Generation](https://www.ml-quant.com/papers/arxiv/2409.03733/): PLANSEARCH is a new search algorithm that creates diverse solutions for natural language problems, outperforming traditional methods in various benchmarks.
- [ENHANCING ORGANIZATIONAL PERFORMANCE: HARNESSING AI AND NLP FOR USER FEEDBACK ANALYSIS IN PRODUCT DEVELOPMENT](https://www.ml-quant.com/papers/doi/10-18374-jabe-24-1-11/): The paper explores the application of AI and NLP for analyzing user feedback on heavy machine crane products, offering insights for product improvement and enhancing customer experience.
- [Artificial intelligence, natural language processing, and machine learning to enhance e-service quality on e-commerce platforms](https://www.ml-quant.com/papers/ssrn/4847952/): The paper discusses how AI technologies like chatbots and personalized recommendation systems can improve service quality and boost sales on ecommerce platforms.
- [ParSEL: Parameterized Shape Editing with Language](https://www.ml-quant.com/papers/arxiv/2405.20319/): Shape Editing: ParSEL, a system that allows controllable editing of high-quality 3D assets from natural language, uses Analytical Edit Propagation (AEP) to extend initial edits into complete editing programs.
- [Arrows of Time for Large Language Models](https://www.ml-quant.com/papers/arxiv/2401.17505/): A study shows a time asymmetry in Autoregressive Large Language Models' ability to learn natural language, explained by sparsity and computational complexity.