Academy of Interdisciplinary Studies Division of Environment and Sustainability 240 Green Finance and Big Data Supervisor: ZHOU Zoey Yiyuan / ENVR Student: LAI Chun Kiu / QFIN Course: UROP 1100, Spring The amount of green bond issuance has experienced significant growth in recent years, driven by the rising need for companies to improve their ESG performance. Beyond their financial characteristics, they also include additional ESG-related data. The increase in data creates opportunity to develop valuable insights into both the financial and ESG area from analyzing the issuance information. This paper aims to provide insights to the data collection process by evaluating the methods of sourcing the issuance information for recently released green bonds from different countries. The data collected is compiled and summarized to report on the different methodologies used. Green Finance and Big Data Supervisor: ZHOU Zoey Yiyuan / ENVR Student: LEUNG Hiu Hin / ECOF Course: UROP 1100, Spring This project aims to study how policies and regulations influence the green bond market by analyzing multiple categories of sustainability-related data, including policy summaries, texts, and company-level disclosures. The current stage primarily focuses on data collection and cleaning. A total of four tasks were completed: analyzing summary statistics for abnormal green bonds and regional regulations regarding green bonds; cleaning textual data from company prospectuses by extracting the “Risk Factor” sections; retrieving green bond-related documents from the Luxembourg Green Exchange; and categorizing anti-ESG policies. The data collected and processed is expected to be used for further analysis. This report summarizes the progress made on each task.
RkJQdWJsaXNoZXIy NDk5Njg=