Suchergebnisse

Driven by growing demands for environmental protection and sustainable development, green finance has gained increasing attention, evolving from a peripheral topic to a core research area. Research in green finance primarily focuses on financial products, services, and policies, analyzing their impacts on society, markets, and listed companies. Through a systematic literature screening and analysis process, this study reviewed the existing body of literature on green finance, with a particular emphasis on key areas such as green financing, green financial technology, green financial products and derivatives, green building, financial reform and innovation in green finance, and carbon trading markets. Using keywords such as "green finance", "green insurance", "green securities", and "green investment", we identified 15,487 relevant publications from 2014 to 2023 across multiple databases. We then applied Latent Semantic Indexing (LSI) to cluster these documents, identifying core subfields and conducting a detailed bibliometric analysis. Our results reveal a geographic shift in green finance research prominence from the U.S. to China, with a thematic shift from green building and energy efficiency to green bonds and climate finance. Through our analysis, we provide policy recommendations informed by these findings. This study's unique contribution lies in its systematic extension of bibliometric analysis into emerging subfields of green finance, such as green financial technology and carbon trading markets, both of which are becoming increasingly critical. Additionally, this study offers valuable insights into the evolving landscape of green finance research, bridging the gap between academic research and industry practice and providing actionable policy recommendations for stakeholders across different sectors.

AbstractIn financial engineering, sensitivities of derivative prices (also known as the Greeks) are important quantities in risk management, and stochastic gradient estimation methods are used to estimate them given the market parameters. In practice, the surface (function) of the Greeks with respect to the underlying parameters is much more desired, because it can be used in real‐time risk management. In this paper, we consider derivatives with multiple underlying assets, and propose three stochastic kriging‐based methods, the element‐by‐element, the importance mapping, and the Cholesky decomposition, to fit the surface of the gamma matrix that can fulfill the time constraint and the precision requirement in real‐time risk management. Numerical experiments are provided to illustrate the effectiveness of the proposed methods.

Abstract
The relentless depletion of fossil fuels accentuates the urgent necessity for the sustainable synthesis of chemicals from renewable biomass. 5-Hydroxymethylfurfural (HMF), extracted from lignocellulosic biomass, emerges as a beacon of hope for conversion into value-added chemicals. However, the inherent susceptibility of its unsaturated aldehyde groups to excessive oxidation often culminates in undesired reactions, compromising both the yield and specificity of the desired products. Here, we introduce a holistic methodology for the cost-effective and ecologically responsible generation of 2,5-diformylfuran (DFF), through the heterogeneously catalyzed oxidation of HMF utilizing peroxymonosulfate (PMS) under benign conditions. This strategy, characterized by the meticulous enhancement of surface ketone groups via a mixed-salt-assisted co-pyrolysis technique, achieves an unparalleled selective activation of PMS, engendering singlet oxygen to catalyze the oxidation of HMF into DFF with a selectivity surpassing 80%. Life-cycle assessments underscore a negligible impact on human health, ecosystems, and natural resources, endorsing the holistic utilization of biomass. This integration of pyrolysis for the creation of functional carbonaceous materials within biomass conversion processes significantly enhances sustainability and economic viability, while paving green pathways for selective biomass oxidation and the production of high-value chemicals.