The transfer pricing group set out several important criteria to evaluate information providers. This included having:
- A strong market reputation for a comprehensive and reliable set of services used by many companies.
- A well-developed and trusted methodology for assessing the creditworthiness of a wide range of companies — both public and private and large and small.
- The ability to assess multiple interest rate scenarios.
Members of the group emphasized the important role they play in assessing and monitoring the activities of companies with respect to transfer pricing. Given this, they stressed the importance of having models and analytical approaches that were easy to understand, fully transparent, and defendable.
Market Intelligence discussed its Credit Analytics solution set that blends cutting-edge models with robust data to help users reliably assess the credit risk of companies across the globe. This includes Probability of Default Fundamental Model (PDFN), a fundamentals-driven credit risk model that measures the likelihood of default over a number of time horizons by utilizing financial statements, proprietary risk metrics, and one of the world’s largest financial databases. It also includes CreditModel™, a powerful suite of over 100 statistical models that are trained on credit ratings from S&P Global Ratings that can help users reliably evaluate and monitor the long-term creditworthiness of public and private, rated and unrated companies. Market Intelligence also explained its Corporate Yield Curve offering. Together these capabilities would enable the transfer pricing group to:
Assess the creditworthiness of smaller-sized companies
PDFN measures the likelihood of default over a number of time horizons. Users can evaluate the one- to five-year default risk of public and private banks, corporations, and REITS. PDs can be mapped to quantitatively-derived credit scores (i.e., ‘bbb’) for increased comparability. Workflows may be optimized by accessing a pre-scored database leveraging comprehensive, timely, and robust data on over 50 million companies globally. Users may also determine the default risk of a single company or a portfolio of companies.
Assess the creditworthiness of mid- and large-cap companies
CreditModel’s powerful suite of statistical models, trained on credit ratings from S&P Global Ratings, enables users to quickly evaluate the long-term creditworthiness of mid- and large-cap, public and private banks, insurance companies, and corporations globally. The models utilize financial statement and macroeconomic data to generate a quantitative credit score that statistically matches a credit rating from S&P Global Ratings. These scores can be mapped to observed default rates (i.e., 1.2%) to quantify default risk. Analysis can be streamlined by accessing a database of over 58,000 pre-scored entities, going back more than 15 years.
Evaluate interest rates being used by companies
Corporate Yield Curves offer broad and consistent coverage of credit term structures (one month to 30 years) across four currencies ($, €, £, A$) and every GICS sector, as well as a broader non-financial corporates sector and seven rating categories (AAA – CCC), or aggregates with investment grade and high-yield categories. Data is sourced directly from major buy-side firms, credit trading desks, and trade reporting venues. This provides robust and transparent data to drill down and view the underlying bond constituents and prices used in the construction of each curve.
Members of the transfer pricing group saw many benefits to subscribing to the Market Intelligence offering, including the ability to rely on:
- A well-recognized information provider trusted by companies around the world.
- A rigorous methodology for PDFN that evaluates risk over a number of time horizons.
- A rigorous methodology for CreditModel that employs sophisticated statistical techniques to evaluate the relationship between financial data and credit ratings using Exponential Density theory to achieve a high level of reliability, granularity, and predictive power.
- Annual backtesting reports that provide comprehensive assessments of model performance using data from the most recent calendar year.
- A transparent approach to understand where the risk lies in a company’s fundamentals, and where to focus attention for analysis, from both an absolute and relative perspective.
- Similar transparency on the bond constituents, prices, and z-spreads used in the construction of each yield curve, as well as minimum/maximum ranges, average and median yields/spreads, and inter-quartile ranges.
- Flexible delivery via the S&P Capital IQ platform or Market Intelligence’s Excel® Plug-in.
- Detailed user guides and technical documentation for the models, plus access to a 24x7 support group.
 S&P Global Ratings does not contribute to or participate in the creation of credit scores generated by S&P Global Market Intelligence. Lowercase nomenclature is used to differentiate S&P Global Market Intelligence PD credit model scores from the credit ratings issued by S&P Global Ratings.
A Government Agency Sharpens Its Focus On Transfer Pricing Strategies