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Ai-based portfolio stress test tool for transition risk assessment (Ai-PortStress)

Ai-based portfolio stress test tool for transition risk assessment (Ai-PortStress)
基于人工智能的投资组合压力测试工具,用于评估转型风险(Ai-PortStress)
批准号:
10031601
负责人:
金额:
$6.37万
依托单位:
依托单位国家:
英国
项目类别:
Small Business Research Initiative
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --

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中文摘要
翻译
**AI-PortStress**是一种创新方法,旨在通过运营过渡风险来创造项目融资的活力。风险意味着赔率,赔率意味着缺乏确定性。通过实时改变分配给商业部门某些方面和不同地区的过渡风险,政府可以从外部影响资源分配和到2050年过渡到净零的速度。**AI-PortStress**使融资机构能够通过在一系列项目(和/或项目的各个方面)之间优化资本配置,实现最佳结果或最低损失率,从而将其融资项目的过渡风险降至最低。作为一种创新工具,**AI-PortStress**确保融资公司能够适当地实时调整融资规模,并根据实时政府优先事项重组项目的执行。**AI-PortStress**是一种创新方法,有3个主要目标:(1)通过先进的自然语言处理技术将实时政府气候相关政策数字化,从而将过渡风险编码;(2)将项目划分为具有独特资产的模块化模块,用于单位评估过渡风险;以及(3)在过渡风险评估中纳入地区因素和政策,以实现最佳财务决策。具体地说,它的创新在于它能够将项目排序成由项目时间线上的独特资产组成的独特块,并查询这些块以演变特定于块的过渡风险。**AI-PortStress**很有帮助,因为它允许融资者根据自己的风险偏好确定他们可以融资的项目的各个方面。通过避免可能因即将出台的立法和气候政策变化而引起争议的项目方面,金融机构限制和/或避免相关的过渡风险(碳税、排污权交易计划)。**AI-PortStress**属于这场竞争的范围,因为它寻求深化气候和环境风险评估,同时将气候融资业务与政府的优先事项实时整合。
英文摘要
**Ai-PortStress** is an innovative approach that seeks to create dynamism in how projects get financed by operationalising transition risk. Risk implies odds, and odds imply a lack of certainty. By varying the transition risks allocated to certain aspects of a business sector and across various regions in real-time, the governments can externally influence resource allocation and the pace of transitioning to Net-Zero by 2050\. **Ai-PortStress** enables financing institutions minimise the transition risks of projects they finance by optimising the allocation of capital across a suite of projects (and/or aspects of a project) that achieve the best outcomes or least loss rates. As an innovative tool, **Ai-PortStress** ensures that financing companies can appropriately scale financing in real-time and reconstitute the execution of projects based on real-time government priorities.**Ai-PortStress** is an innovative approach that has 3 primary goals: (1) to codify transition risks by digitalising in real-time government climate-related policies through advanced natural language processing techniques; (2) to delineate projects into modular blocks with unique assets for unit assessment of transition risks; and (3) to incorporate regional factors and policies in transition risk assessments for optimal financial decision making. Specifically, its innovation lies in its ability to sequence projects into unique blocks made up of unique assets over the project timeline and query these blocks to evolve transition risks that are block-specific. **Ai-PortStress** is helpful as it empowers financiers to determine aspects of projects that they can finance based on their risk appetite. By avoiding aspects of a project that could be contentious due to incoming legislation and changes in climate policies, financial institutions limit and/or avoid the associated transition risks (carbon taxes, emission trading schemes). **Ai-PortStress** falls within the scope of this competition as it seeks to deepen climate and environmental risk assessments while integrating climate financing operations with government priorities in real-time.
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