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Essential resources for our customers.


S&P Global Market Intelligence’s industry-leading data and models can help you meet analytical and operational challenges from evolving regulatory requirements to accounting standards.



CECL: Current Expected Credit Loss Accounting Standard Update
With fundamental data on 4M+ public and private entities, plus robust analytical credit tools, our CECL solutions enable our clients to combine historical, current, and forward-looking information to calculate life-of-loan credit loss estimates in accordance with CECL requirements.


Robustness, Efficiency, and Transparency: Essentials for IFRS 9 Impairment Calculations

International Financial Reporting Standards 9 (IFRS 9) requires firms to take account of future expected credit losses (ECLs) to calculate provisions for their financial instruments, investment portfolios, loan books, and trade receivables. This change requires the use of forward-looking analytics. With deadlines fast approaching, are you prepared for the transition?

IFRS 9 addresses the accounting for financial instruments and contains three main topics:
  • Classification and measurement of financial instruments.
  • Impairment of financial assets.
  • Hedge accounting.
  • Our approach follows the traditional method of estimating ECL from its base components: Probability of Default (PD), Loss Given Default (LGD, which is the severity of loss in the event of default), and Exposure at Default (EAD).

Evaluate PD: Many insurers continue to rely heavily on credit ratings and related data from recognized rating agencies, such as S&P Global Ratings. We use credit ratings in the first step of our IFRS 9 methodology for estimating ECLs. We associate a long-term average default rate term structure (often labeled through-the-cycle) to each rating based on historical default data contained in our CreditPro product offering. This captures default data from over 40 years of credit ratings information from S&P Global Ratings1.

These historical default rate term structures are adjusted to point-in-time (PiT) PDs using the S&P Global Credit Cycle Projection Overlay, which adjusts PDs based on country-specific, forward-looking macroeconomic expectations and a broad array of asset classes. Factors include (but are not limited to):
  • GDP Growth
  • Unemployment
  • Equity index data
  • World Bank Energy Index
  • Portfolio stress (modelled via changes in downgrades)
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Thought Leadership Webinars


Register for our upcoming webinar or watch them on-demand. Here's a selection of our 2020 webinars.

September 3     Q2 Power Forecast: Wholesale Electricity Markets in Transition >
August 27 Slice of the Sun – Prospects and Challenges for Behind the Meter Solar >
August 6
 Operational Resilience in a Pandemic Environment: What CROs Need to Know >
August 5 2020-2021 Energy Sector Capital and Distressed Debt Markets and Restructuring Outlook >
August 4 COVID-19 and 2020 Oil Price Shock Impact and Outlook for Oil & Gas >
June 9 Power Markets’ Outlook And Credit Implications In The Age Of COVID-19 >
May 15 Pandemic Drag: Early Review of Impacts on U.S. Merchant Power Markets and Renewable Energy >
February 19 Global Renewables Market > 


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