Nature credits illustration from Pixabay by MW
14x new research on GHG-data driven innovation, EU taxonomy benefits, diverse green preferences, ESG fund manipulation, ESG rating problems, AI for ESG, Art. 8/9 fund and SDG performance, nature credits, ESG compensation, AI-based financial analysis, retirement surprises and neighbor investment effects („#“ shows SSRN full paper downloads as of Oct. 17th, 2024)
Social and ecological research
GHG-data startup push: Mandatory Carbon Disclosure and New Business Creation by Raphael Duguay, Chenchen Li, and Frank Zhang as of Oct. 14th, 2024 (#36): “Prior work documents that mandatory GHG disclosure causes existing firms to reduce their GHG emissions by curbing economic activities and/or carbon intensity. We posit that such reductions create business opportunities for new firms. In addition, emissions reports contain information about production levels, allowing prospective entrants to estimate demand and identify profitable business opportunities. Consistent with our hypothesis, we find a significant increase in business births following the implementation of the Greenhouse Gas Reporting Program in affected industries, compared to control industries. This effect is more pronounced in industries in which existing firms actively reduce carbon emissions and face heightened pressure“ (abstract).
Responsible investment research (in: Nature credits)
Good EU taxonomy? Is the EU Taxonomy a Rational Sustainability Tool? by Ibrahim E. Sancak as of Oct. 16th, 2024 (#89): “This paper examines the EU Sustainability Taxonomy (EUST) … As a regulation-based sustainability classification tool, it differs significantly from typical ESG indicators and perspectives by providing net positive-contribution indicators in terms of revenue, capex, and opex key performance indicators for businesses. … We find that the EUST is in the realm of the rational sustainability concept, indicating that the EUST is a rational sustainability tool, and it supports sustainability at heart by definition and design. The EUST is a real sustainability tool that can restore the losses of our planet and answer to challenges. It does not breach the free market realities. Companies decide their own sustainability policies; they can decide to what extent they should be Taxonomy-aligned, they can decide how much they have to invest in sustainability transformation, and they can freely decide which Taxonomy KPIs they have to focus on …“ (p. 21). My comment: I like the focus of the EUST on revenues, opex and capex but it can only provide politically accepted low minimum standards (see discussion about Gas, nuclear energy and defense industry) and it mostly leaves out social and shareholder engagement topics. It may be rational and not good enough, anyhow.
Different green preferences: The Sustainability Preferences of Individual and Institutional Investors by Gosia Ryduchowska and Moqi Groen-Xu as of Oct. 16th, 2024 (#16): “We compare the sustainability preferences of institutional investors to other investors, using the universe of holdings in bonds traded in Norway in the years 2010-20. We identify sustainability investors as those who choose Green Bonds over similar non-green bonds by the same issuers. … individual investors hold riskier portfolios with higher volatility and more defaults, although financial investors do not. Our results suggest that individual Green Bond investors have non-pecuniary green preferences but are not representative of the majority of sustainable investment in the market“ (abstract). My comment: I initiated the DVFA PRISC toll which helps investors to easily determine their sustainable investment policies and use this tool to compare investment options (DVFA_PRISC_Policy_for_Responsible_Investment_Scoring.pdf). A new version will be published soon.
ESG fund pushing? ESG Favoritism in Mutual Fund Families by Anna Zsofia Csiky, Rainer Jankowitsch, Alexander Pasler, and Marti G. Subrahmanyam as of Oct. 15th, 2024 (#34): “We empirically analyze whether mutual fund families favor their ESG funds potentially at the expense of their non-ESG siblings … We use a survivorship bias-free sample obtained from Morningstar Direct, covering domestic US equity open-end funds from 2005 to 2022. … Our approach is built on comparing the performance of ESG with regular funds within and outside the family. Similar to the prior literature, we interpret a higher return differential between ESG and regular funds within the family, compared to outside, as an indication of cross-fund subsidization. We find a significant net-ofstyle return spread of around 2% per year, indicating sizable ESG favoritism within fund families“ (p. 30).
ESG rating problems and improvements: It’s Hard to Hit a Target that Doesn’t Exist: A Novel Conceptual Framework for ESG Ratings by Jorge Cruz-Lopez, Jordan B. Neyland, and Dasha Smirnow as of Oct. 16th, 2024 (#8): “… Our framework consists of analyzing three different stages in the production of ESG ratings: (1) Data Collection and Disclosure, (2) Measurement, and (3) Dissemination. At each stage, we clearly identify the parties involved, their incentives and limitations, and the noise or bias introduced to ESG ratings due to misaligned incentives, data constraints, or inadequate regulations… solutions include improving disclosure standards, incentivizing public data access to foster competition as well as transparency of rating methodologies, and relying on regular audits to verify the accuracy of corporate disclosures and ESG ratings“ (abstract).
Readability ESG impact: Evaluating the Impact of Report Readability on ESG Scores: A Generative AI Approach by Takuya Shimamura, Yoshitaka Tanaka, and Shunsuke Managi as of July 8th, 2024 (#46): “This study explores the relationship between the readability of sustainability reports and ESG scores for U.S. companies using GPT-4, a generative AI tool. The findings reveal a positive correlation between context-dependent readability scores and the average of multiple ESG scores …. Conversely, existing readability scores reflecting word features show no correlation with ESG scores“ (abstract).
AI for ESG: AI in ESG for Financial Institutions: An Industrial Survey by Jun Xu as of Oct. 11th, 2024 (#21): “This paper surveys the industrial landscape to delineate the necessity and impact of AI in bolstering ESG frameworks. … our findings suggest that while AI offers transformative potential for ESG in banking, it also poses significant challenges that necessitate careful consideration. … We conclude with recommendations with a reference architecture for future research and development, advocating for a balanced approach that leverages AI’s strengths while mitigating its risks within the ESG domain“ (abstract).
No Art. 8/9 outperformance: SFDR versus performance classification: a clustering approach by Veronica Distefano, Vincenzo Gentile, Paolo Antonio Cucurachi and Sandra De Iaco as of July 10th, 2024 (#25): EU “… investment companies have to disclose in the key information document the category of each mutual fund. This regulation came into force in March 2021 and the first reaction of the market has been a strong shift of Assets Under Management (AUM) towards art. 8 and art. 9 funds. … This study showed that the expectations of better performances only based on the SFDR (Sö: Sustainable Finance Disclosure Regulation) classification is biased. … the contingency table show a low correlation of the classifications based on ESG declaration and on performances. … using the SFDR classification to create expectations of better future performance could be misleading“ (p. 8). My comment: I rather heard complaints lower performance expectations for Art. 8/9 funds due to perceived investment limitations. If there are similar returns, why not invest more sustainably?
Impact Investment research
Green cost reduction and SDG performance: The effects of ESG performance and sustainability disclosure on GSS bonds’ yields and spreads: A global analysis by Oliviero Roggi, Luca Bellardini, and Sara Conticelli as of July 10th, 2024 (#30): “Considering a sample of 3,960 green, sustainable, and sustainability-linked (GSS) bonds issued in global capital markets, this study investigates the effects of the issuer’s environmental, social, and governance (ESG) performance on both the issue-specific yield spread — defined as the difference in yield-to-maturity between a corporate debt instrument and a sovereign comparable — and its spread vis-à-vis a sovereign comparable. The findings indicate that there is a negative association between ESG performance and bond spreads, implying that a greater commitment to the sustainable transition today is a winning strategy, for a company, to reduce the cost of debt for future projects. … we find that the real enabler of curbing the unexplained portion of risk is a detailed disclosure on the use of proceeds. This is likely to minimise the likelihood of greenwashing” (abstract).
“… With regard to Core yield, the pursuit of Goal 2 (Zero hunger) and Goal 9 (Industry, innovation and infrastructure) is associated with a reduction in risk, whereas Goal 3 (Good health and well-being) and Goal 12 (Responsible consumption and production) are found to be risk-accruing. With regard to Core spread, Goal 5 (Gender equality), in addition to Goals 2 and 9, is negatively associated with a company’s cost of debt, net of the financial characteristics of the issue. The pursuit of Goal 12 and Goal 8 (Decent work and economic growth) has the opposite effect, but not Goal 3” (p. 6). My comment: This is one of the few studies with SDG-analysis. I hope that more will come.
Nature credits: Advancing Effective and Equitable Crediting: Natural Climate Solutions Crediting Handbook by John Ward, Christine Gerbode, Britta Johnston, and Suzi Kerr as of Oct. 10th, 2024 (#8): “Natural Climate Solutions, or NCS, are activities to protect, restore, or enhance ecosystems in terms of their ability to remove or sequester carbon. They can deliver about one third of the greenhouse gas emissions reductions needed this decade to achieve key climate goals. Implemented well, they also provide benefits for people and nature. Crediting of NCS mitigation is a powerful way to unlock this potential–but it is also controversial. … By clarifying essential terms and concepts underpinning NCS carbon crediting, highlighting solutions to technical challenges, and providing informed framing to help newcomers understand prominent ongoing debates, the NCS Crediting Handbook seeks to provide the reader with a clear introduction to the world of NCS crediting, and an impartial, accessible guide to support their decision making“ (abstract).
ESG compensation challenges: Implicit versus Explicit Contracting in Executive Compensation for Environmental and Social Performance by Roni Michaely, Thomas Schmid, and Menghan Wang as of Oct. 16th, 2024 (#31): “We examine whether linking executive pay to environmental and social targets (ES Pay) can help improve firms’ environmental and social performance. … firms that use explicit contracting for targets that can be precisely and objectively measured, such as emissions and incident rates, demonstrate better ES performance. By contrast, firms with implicit contracting show little improvement in these areas. However, for targets that are hard to measure, such as community engagement, or E/S reporting, implicit contracts are effective and can even outperform explicit contracting. … we observe a positive association between the adoption of ES Pay schemes and total CEO compensation … even when an increase in executive pay is observed, it is also associated with improved firms’ ES conduct. We find no increase in CEO pay among those firms using explicit schemes, or implicit schemes for easily measurable targets“ (p. 28/29). My comment: CEO pay is usually already very high with, quite often, >300x the average employee compensation. Introducing sustainability goals in executive compensation should not lead to a growing gap, in my opinion. One of my 5 shareholder engagement topics therefore is CEO to average employee pay ratio disclosure.
Other investment research (in: Nature Credits)
Financial Analyst AI-Risks: Large Language Models as Financial Analysts by Miquel Noguer i Alonso and Hanane Dupouy as of Oct. 7th, 2024 (#1004): “The ability of … GPT-4o, Gemini Advanced, and Claude 3.5 Sonnet to perform financial analysis highlights their potential as powerful tools for interpreting complex financial data. … When it comes to extrapolation questions that are the core of valuation and stock picking, the level of analysis provided by these LLMs is similar to that of skilled humans” (p. 15). My comment: Given the underperfomance of actively managed funds compared to passive benchmarks, this AI-performance is not enough.
Retirement surprises: Patterns of Consumption and Savings around Retirement by Arna Olafsson and Michaela Pagel as of Oct. 7th, 2024 (#23): “Using a large transaction-level data set from a financial aggregator on income, spending, account balances, and credit limits in Iceland, we document“ (p. 16) … First, many households have barely any savings and hold substantial amounts of consumer debt at the time of retirement. Second, consumption falls at retirement, possibly due to work-related expenses, bargain shopping, or because households face unexpected adverse shocks. Third, liquid savings increase at retirement. Fourth, wealth increases more over the course of retirement for the average household”.
Neighbor investment-effects: Wealth Accumulation: The Role of Others by Michael Haliassos as of Oct. 7th, 2024 (#19): “First, interacting with a larger proportion of neighbors with college-level economics or business education tends to promote retirement saving. … Second, college-educated people exposed to greater local wealth inequality as well as more wealth mobility at the start of their economic lives, tend to take more asset risks later in life and thus accrue greater wealth, leaving the less-educated behind. … Third, the current pattern of access to financial advice, under which the young and less experienced are also less likely to receive financial advice, tends to discourage stock market participation and reduce equity in retirement portfolios, because the peers of the young tend to be more conservative in their recommendations to them than professionals would have been. Professional advisors are more conservative towards the older and wealthier people that they do meet, compared to their peers. Finally, background stressors such as crises and wars, but also personal problems, occupy people’s minds as they make saving decisions” (p. 23/24).
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Werbehinweis (in: Nature credits)
Unterstützen Sie meinen Researchblog, indem Sie in den von mir beratenen globalen Small-Cap-Investmentfonds (siehe FutureVest Equity Sustainable Development Goals R – DE000A2P37T6 – A2P37T) investieren und/oder ihn empfehlen. Der Fonds konzentriert sich auf die UN-Ziele für nachhaltige Entwicklung (aktuell durchschnittlich außerordentlich hohe 97% SDG-vereinbare Umsätze der Portfoliounternehmen: Investment impact) und verwendet separate E-, S- und G-Best-in-Universe-Mindestratings sowie Aktionärsengagement (Investor impact) bei derzeit 29 von 30 Unternehmen (siehe auch My fund).
Zum Vergleich: Globale Gesundheits- bzw. Renewables- oder SDG-Fonds kommen nur auf wesentlich geringere SDG-Umsatzquoten, ESG-Ratings und Engagement-Quoten.
