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Summary
With fund financing remaining a hot topic of conversation across capital markets, additional scrutiny from a range of stakeholders feels both logical and necessary. One component that continues to draw attention is how the credit risk of Alternative Investment Funds (AIFs) might be optimally quantified and reported on: particularly for the benefit of those who are less familiar with the intricacies of this niche but growing asset class. During this webinar we will unpack some of the complexities observed when evaluating and managing credit exposure to AIFs, be that through Subscription Lines or NAV facilities. Our focal point will be S&P Global Market Intelligence’s AIF Credit Assessment Scorecard, a comprehensive framework designed to evaluate AIF credit risk across a variety of fund and facility types, and to simultaneously enable benchmarking versus other, more established debt instruments.
Moderator
S&P Global Market Intelligence
James Mansfield
S&P Global Market Intelligence
Director, Credit & Risk Solutions
James Mansfield is a Director in S&P Global Market Intelligence’s Credit & Risk Solutions team. He consults clients on the credit risk they face across rated and unrated exposures. His primary focus is on helping firms optimize internal risk management and external stakeholder reporting, including the integration of ESG considerations as a material part of the credit assessment process. James is a member of the cross divisional working group guiding S&P’s enterprise GTM strategy for the Private Debt asset class. James holds a master’s degree in Finance & Banking from King’s College London and an undergraduate degree in History from the University of Southampton.
Speakers
Suming Xue
S&P Global Market Intelligence
Director, Credit & Risk Solutions
Suming Xue is a Director at S&P Global Market Intelligence, Risk Services. Her primary focus is on assisting financial institutions and other organizations in validating and improving their credit risk assessment methodologies, including Probability of Default (PD) and Loss Given Default (LGD) for low- and high-default asset classes, in regulatory framework.
Suming Xue is a Director at S&P Global Market Intelligence, Risk Services. Her primary focus is on assisting financial institutions and other organizations in validating and improving their credit risk assessment methodologies, including Probability of Default (PD) and Loss Given Default (LGD) for low- and high-default asset classes, in regulatory framework. Prior to joining S&P Global Market Intelligence, Suming worked in HSBC Global Banking and Market, ANZ and investment banks, in the areas of Portfolio Management and Risk Management. Suming holds a master’s degree in Finance and undergraduate degrees in Econometrics and Finance.
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