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Political Science > Environmental Policy

You are looking at 1 - 3 of 3 items for :

  • Type: Journal Issue x
  • Portfolio Choice; Investment Decisions x
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Cover IMF Working Papers
Decomposing Climate Risks in Stock Markets
Yuanchen Yang, Chengyu Huang, and Yuchen Zhang
Climate change poses an unprecedented challenge to the world economy and the global financial system. This paper sets out to understand and quantify the impact of climate mitigation, with a focus on climate-related news, which represents an important information source that investors use to revise their subjective assessments of climate risks. Using full-text data from Financial Times from January 2005 to March 2022, we develop machine learning-based indicators to measure risks from climate mitigation, and the direction of the risk is identified through manual labels. The documented risk premium indicates that climate mitigation news has been partially priced in the Canadian stock market. More specifically, stock prices react positively to market-wide climate-favorable news but they do not react negatively to climate-unfavorable news. The results are robust to different model specifications and across equity markets.
Keywords:
Climate Mitigation; Machine Learning; Asset Pricing; climate mitigation news; climate news factor; sorting strategy; EU stock market; climate news coverage; Climate change; Climate policy; Oil sector; Asset prices; Global
Cover IMF Working Papers
Deconstructing ESG Scores: How to Invest with your own Criteria?
Torsten Ehlers, Ulrike Elsenhuber, Kumar Jegarasasingam, and Eric Jondeau
Environmental, Social, and Governance (ESG) scores are a key tool for asset managers in designing and implementing ESG investment strategies. They, however, amalgamate a broad range of fundamentally different factors, creating ambiguity for investors as to the underlying drivers of higher or lower ESG scores. We explore the feasibility and performance of more targeted investment strategies based on specific ESG categories, by deconstructing ESG scores into their granular components. First, we investigate the characteristics of the various categories underlying ESG scores. Not all types of ESG categories lend themselves to more focused strategies, which is related to both limits to ESG data disclosure and the fundamental challenge of translating qualitative characteristics into quantitative measures. Second, we consider an investment scheme based on the exclusion of firms with the lowest scores in a given category of interest. In most cases, this strategy allows investors to substantially improve the ESG category score, with a marginal impact on financial performance relative to a broad stock market benchmark. The exclusion results in regional and sectoral biases relative to the benchmark, which may be undesirable for some investors.We then implement a “best-in-class” strategy by excluding firms with the lowest category scores and reinvesting the proceeds in firms with the highest scores, maintaining the same regional and sectoral composition. This approach reduces the tracking error of the portfolio and slightly improves its risk-adjusted performance, while still yielding a large gain in the targeted ESG category score.
Keywords:
Sustainable investment; ESG ratings; ESG investing; Negative screening; Best-in-class screening; ESG score; ESG category; headline ESG; ESG data disclosure; Corporate social responsibility; Greenhouse gas emissions; Labor force; North America; Global; Europe
Cover Finance & Development
Finance and Development, September 2021
International Monetary Fund
Finance and Development, September 2021
Keywords:
IEA report; IMF staff research; emissions target; Bitcoin mining; climate threat; Climate change; Climate finance; Greenhouse gas emissions; Virtual currencies; Global; Asia and Pacific; Africa; Pacific Islands; Sub-Saharan Africa; pricing carbon; bitcoin rival Ethereum