Financed GHG Emissions using PCAF standard methodology

所在平台: Udemy

课程主页: https://www.udemy.com/course/financed-ghg-emissions-using-pcaf-standard-methodology/

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课程名称:基于PCAF标准方法的融资温室气体排放计算 课程概述: 本课程提供了一个实用且全面的介绍,旨在教会学员如何使用全球认可的PCAF(金融碳会计伙伴关系)标准来计算融资排放。学员将学习如何根据PCAF定义的资产类别分类金融资产,应用归因因素,并利用可用的排放数据来量化贷款和投资的温室气体(GHG)影响。 课程内容包括: - 理解融资排放的基本概念及其在气候风险和净零目标中的相关性。 - 学习PCAF标准框架及其在全球金融机构中的应用。 - 将金融资产分类为PCAF的资产类别(如上市股票、企业债券、商业贷款、抵押贷款)。 - 应用归因因素,准确分配金融机构的排放量。 - 从投资公司或借款人处获取并使用实际或估算的温室气体排放数据。 - 使用PCAF标准公式在资产和投资组合层面计算排放量。 - 解释结果,以支持ESG报告、合规要求和投资者沟通。 - 掌握排放估算工具和基于Excel的模型的实务经验。 此外,学员将能够访问融资排放的案例研究,了解一些银行和金融机构在这些视频讲座中的使用方法。课程还提供了实时讨论的机会,学员可以提出自己的疑问和真实案例,从而更深入地掌握该主题。

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This course provides a practical and comprehensive introduction to calculating financed emissions using the globally recognized PCAF (Partnership for Carbon Accounting Financials) standard. You'll learn how to categorize financial assets into asset classes as defined by PCAF, apply attribution factors, and use available emissions data to quantify the greenhouse gas (GHG) impact of loans and investments.Understand the fundamentals of financed emissions and their relevance to climate risk and net-zero goals.Learn the PCAF standard framework and how it applies to financial institutions globally.Classify financial assets into PCAF's asset classes (e.g., listed equity, corporate bonds, business loans, mortgages).Apply attribution factors to allocate emissions accurately to financial institutions.Source and use GHG emissions data (actual or estimated) from investee companies or borrowers.Calculate emissions at the asset and portfolio level using standard PCAF formulas.Interpret results to inform ESG reporting, regulatory compliance, and investor communications.Gain practical experience with emission estimation tools and Excel-based models.Along with the course structure, you will also be able to access the financed emissions case studies, methodologies used by some banking and financial institutions during the course of these video lectures. Access to the video series also enables you to discuss your own queries and real-time case scenarios for more in-depth command over the topic.

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