Addressing climate challenges through ESG-real estate investment strategies: An asset allocation perspective

Biasin, Massimo; Delle Foglie, Andrea; Giacomini, Emanuela

doi:10.1016/j.frl.2024.105381

Finance Research Letters

2024

DOI: 10.1016/j.frl.2024.105381

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Addressing climate challenges through ESG-real estate investment strategies: An asset allocation perspective

Massimo Biasin,

Andrea Delle Foglie,

Emanuela Giacomini

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Cited by 3 publications

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Weather Condition Clustering for Improvement of Photovoltaic Power Plant Generation Forecasting Accuracy

Haljasmaa,

Bramm,

Matrenin

et al. 2024

Algorithms

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Together with the growing interest towards renewable energy sources within the framework of different strategies of various countries, the number of solar power plants keeps growing. However, managing optimal power generation for solar power plants has its own challenges. First comes the problem of work interruption and reduction in power generation. As the system must be tolerant to the faults, the relevance and significance of short-term forecasting of solar power generation becomes crucial. Within the framework of this research, the applicability of different forecasting methods for short-time forecasting is explained. The main goal of the research is to show an approach regarding how to make the forecast more accurate and overcome the above-mentioned challenges using opensource data as features. The data clustering algorithm based on KMeans is proposed to train unique models for specific groups of data samples to improve the generation forecast accuracy. Based on practical calculations, machine learning models based on Random Forest algorithm are selected which have been proven to have higher efficiency in predicting the generation of solar power plants. The proposed algorithm was successfully tested in practice, with an achieved accuracy near to 90%.

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Weather Condition Clustering for Improvement of Photovoltaic Power Plant Generation Forecasting Accuracy

Haljasmaa,

Bramm,

Matrenin

et al. 2024

Algorithms

View full text Add to dashboard Cite

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ESG Standards in China: Bibliometric Analysis, Development Status Research, and Future Research Directions

Zeng,

Li,

Lin

et al. 2024

Sustainability

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Environmental, social, and governance (ESG) standards have received widespread attention in the quest for sustainable development. However, a comprehensive understanding of the current status of ESG standards, particularly in the context of China, remains a scientific gap. This study bridges this gap by adopting a bibliometric analysis to comprehensively analyze the current status of ESG standards. Based on an analysis of 213 articles involving ESG standards in the Web of Science Core Collection database from 2015 to 2024, this study identified the global distribution of ESG standards organizations, research hotspots, trends, and cutting-edge status of ESG standards research. It was found that the research on ESG standards shows a growing trend: the research hotspots mainly focus on the areas of performance, rating, investment, and sustainability. Crucially, this study offers novel insights into the current development status of ESG standards in China, emphasizing the significant roles of the government’s promotion of ESG standard formulation and regulation, corporate voluntary compliance, and academic research and communication. Future research directions on ESG standards are proposed and imply that the implementation of ESG standards in China should be beneficial to sustainable development.

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ESG and Administrative Costs in Equity Trading: Evidence from China

Huang,

Wang

2024

IEF

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Recent findings suggest that firms with higher Environmental, social, and governance (ESG) scores may experience lower stock returns, contrary to the common belief that better ESG performance enhances market reputation and stock returns. This study aims to investigate the relationship between ESG performance, management costs, and stock returns by introducing an "ESG-cost framework." The framework proposes that the costs incurred in implementing ESG practices can reduce revenue, offsetting the positive effects of strong ESG performance. Using an empirical analysis of firms based on both their ESG scores and management costs, the study finds that firms with low management costs gain the most from high ESG scores, while those with high costs may see diminished stock returns despite strong ESG performance. Additionally, the study proposes trading strategies that integrate ESG scores and cost considerations, demonstrating that these strategies yield better returns than traditional market indices. These findings offer a new perspective on ESG decision-making and provide valuable insights for constructing effective trading strategies.

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Addressing climate challenges through ESG-real estate investment strategies: An asset allocation perspective

Cited by 3 publications

References 48 publications

Weather Condition Clustering for Improvement of Photovoltaic Power Plant Generation Forecasting Accuracy

Weather Condition Clustering for Improvement of Photovoltaic Power Plant Generation Forecasting Accuracy

ESG Standards in China: Bibliometric Analysis, Development Status Research, and Future Research Directions

ESG and Administrative Costs in Equity Trading: Evidence from China

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