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Webinar Replays

Unrated Universe of Project Finance: The Credit Story Told From a Social, Environmental and Governance Perspective

Date:
Thursday, February 08, 2024
Location:
On-Demand
Duration:
30 minutes

Project Finance plays a key role in funding various types of infrastructure and industrial projects across the globe. It’s becoming increasingly important to factor physical risks, regulatory risks, cyber and governance related risks, social and political risks and others as part of the credit process. Across regions, increased funding is needed to drive a strong pipeline. However in the current environment, balancing various environmental, social and governance (ESG) related risks and understanding their link to credit risk is essential.

As the market has evolved, so have our Scorecards. S&P Global Market Intelligence’s ESG enhanced version of the Project Finance Credit Assessment Scorecard is a simplified way to incorporate various ESG risks linked to credit risk factors in the unrated universe that focus on the key areas of risk for the project finance entity. The Project Finance Scorecard with ESG functionality allows credit risk analysis in a streamlined manner and helps assess 100+ different project types from the initial preliminary investment stage through the whole life cycle of the project.

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Speaker

S&P Global Contributor
Inna is a Director in the in the Credit Analytics department, based in London. She focuses on assisting financial institutions, including banks, multilateral institutions and insurance companies in improving their internal rating systems for low default asset classes across a broad range of industrial sectors. She specialises in delivering regulatory, pricing and financial reporting (IFRS 9) solutions. Full Bio
S&P Global Contributor
Niyati is Associate Director in the Credit Risk and Solutions department at S&P Global Market Intelligence, based in Mumbai. She focuses on assisting financial institutions, including banks, multilateral institutions, and insurance companies in improving their internal rating systems for low default asset classes like corporates, financial institutions, specialized lending and public finance through probability of default (PD) and loss given default (LGD) solutions. Full Bio

Moderator

S&P Global Contributor

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