Monitor brings financial and market data to you directly as they happen. By syncing with your portfolio Watch List, get timely and reliable data, dynamic visualizations, and credit ratings and research on a single screen.

Sharpen your perspective and boost your productivity

• Gauge potential changes in market sentiment of credit quality by monitoring rating updates and market-driven signals. 
• Perform relative value and risk/return analysis, identify names or sectors showing volatility in market prices of equity, and changes in credit spreads.
• Receive desktop push notifications of ratings actions, research updates, news, and market movements as they happen. 
• Get easy access to additional news, filings, Credit Default Swap data, equity prices, and more.

Efficiently evaluate probabilities of default based on S&P Global Ratings' default and ratings migration data covering 15,000+ companies, 175,000+ debt instruments, 200,000+ structured finance tranches, and 175+ sovereign entities across the globe.

This robust analytic tool helps you formulate future default and ratings migration scenarios, and validate internal rating systems used for credit risk analysis. Consistently defined, measured, and maintained—CreditPro^® provides comprehensive data sets that support the development, calibration, and backtesting that analytical risk valuation models must meet today.

Each day you face the challenges of monitoring transactions in a constantly evolving, cutting-edge market where no two deals are alike. Managing a Structured Finance portfolio is a complex job with many moving pieces. We can help you monitor and evaluate structured finance securities—with the latest global structured finance research, industry news, and sector trends, to servicer evaluations.

Power your mortgage risk analysis by using residential mortgage loan characteristics, borrower data and regional economic data from S&P Global Ratings’ Loan Evaluation and Estimate of Loss System (LEVELS). Evaluate credit risk and best-execution securitization scenarios with in-depth loan-level analysis and reports with estimates of loan/pool-level performance.

Risks and opportunities are everywhere—especially in the public sector. With RatingsDirect^® we can help you manage your holdings more efficiently and effectively with in-depth insights into the credit quality of debt securities issued by state and local governments, government-owned facilities, public authorities, and agencies.

Identify potential credit risks and capitalize on investment opportunities with extensive credit ratings and research from S&P Global Ratings spanning 690,000+ maturities and 20,000 issuers/obligors.*

^{*Coverage as of April 14, 2017}

Climate change is prompting risk management professionals to consider plausible climate-related scenarios, and evaluate the potential impact on their customers, counterparties, investments and portfolios.

Climate Linked Credit Analytics provides two scenario analysis tools to help you better understand the risks and opportunities:

• Assess how a future carbon tax may affect each item reported within company financial statements over the next three years with the fundamentals-driven model – available for 1,200 public and private companies in the Oil & Gas Sector.
• Assess how earnings of public companies may change over the next three decades under multiple carbon tax scenarios with a market-driven approach – available for over 33,000 public companies across the globe.

Our cutting-edge analytical models and unrivalled data help you quickly and easily measure the credit risk of rated, unrated, public and private companies across the globe.

• PD Model Market Signals provides a point-in-time view of credit risk, and early warning signals of potential default between reporting periods, for 71,000+ public companies. Download the brochure >
• PD Model Fundamentals identifies potential default by assessing financial risk, and business risk. Calibrated on +15 years of defaults, and available for more than 5 million public and private companies. Download the brochure >
• CreditModel’s powerful suite of over 100 statistical models, trained on credit ratings from S&P Global Ratings, help you evaluate the long-term creditworthiness of public and private, rated and unrated companies. Download the brochure >

Having an exposure to a distressed firm, and a potential default is a real possibility. Your concern drives not only from the possibility of that default, but what you can expect to recover, or lose, if default occurs. Understanding potential recovery and a default can be hard to accomplish, with many approaches relying on standardized assumptions. With LossStats Model you have an alternative.

This default and recovery approach helps you estimate the loss and recovery levels of US and European fixed income and lending facilities, taking into account industry and instrument specific characteristics. Calibrated upon a proprietary database covering more than 4,000 US bond and loan recoveries spanning over 30 years, and 1,000 European bond and loan recoveries spanning over 13 years.

The China Credit Analytics platform integrates S&P Global Market Intelligence's localized credit analytics, featuring data from over 20 million Chinese private companies and our quantitative credit models calibrated to local default data.

It offers a one-stop-shop solution for users to search, evaluate, and monitor the credit profiles of Chinese Small and Medium-sized Enterprises (SME).

Generate credit insights on Chinese Small and Medium-sized Enterprises (SME) using differentiated content and localised analytics with outputs that broadly align with credit ratings.

• Search and screen over 20 million Chinese private companies.
• Utilize S&P Global Market Intelligence's Probability of Default Fundamental (PDFN) model calibrated to Chinese default data to analyze local companies in China.
• Leverage the credit workflow tools to perform batch scoring and the credit risk dashboard to visualize a credit profile for a portfolio of entities.
• Access 1 million larger Chinese SME's pre-scored Probability of Defaults with industry and provincial level benchmarks.
• Take advantage of the dual language user interface that supports both Chinese and English languages.

Refine the assessment of your potential exposure to defaults with our Loss Given Default (LGD) models and scorecards for low default asset classes.

Evaluate potential economic losses on a continuous scale with models that employ S&P Global Ratings’ analytical methodologies, proprietary research, and historical data. By incorporating qualitative and quantitative factors, our models and scorecards focus on sectors where default, and therefore recovery data, is scarce. This allows you to:

• Meet Basel regulatory requirements by implementing LGD methodologies.
• Validate and benchmark existing models and methodologies with LGD client data pooling and collection exercises. 
• Produce facility-specific estimates of LGD in the low default environment with internal ratings-based methodology.

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).

Our ESG Enhanced Credit Assessment Scorecards can help analysts evaluate the credit impact of the Environmental, Social and Governance (ESG) factors on the creditworthiness of their portfolios.

Our Scorecards are enhanced to include visualized ESG analysis, which is part of a holistic approach to assessing credit risk.

ESG factors are considered in detail alongside the traditional credit analysis formalized in the Scorecards, enabling you to estimate the impact of ESG factors on credit risk while working through the regular credit assessment process.

The scorecard provides analytical flexibility to assess a variety of ESG factors in terms of their impact on relevant credit risk factors – in a bottom-up analytical process.

This provides valuable information on individual credit risk aspects’ sensitivity to ESG factors which may be used for stress-testing, financial projections, and advanced risk appraisal.

You need the right data to make the right decisions, and you need to get it quickly. With RatingsXpress^®, you’ll receive S&P Global Ratings credit ratings in bulk when you need them most.

Power portfolio and enterprise risk functions, represent your portfolio in public, statutory, and regulatory reports, with access to ratings data through S&P Global Market Intelligence, via third-party datafeeds or desktop platforms.

Through our integrated bulk feed management solution, ratings content is organized into packages defined by issuer sectors and contains issuer-and issue-level details, plus extensive descriptive data for each instrument. Our solution also offers delivery of credit ratings from Moody’s Investor Services, Fitch Ratings, Japan Credit Ratings, and Rating and Investment Information Inc.

Easily tap into the ratings and analysis you need to help make informed financial decisions with CreditWire®, available on the Bloomberg Professional™ platform.

CreditWire keeps you connected to the fixed-income market and on top of ratings actions as they occur. Comprehensive analysis brings you an understanding of the underlying credit forces and critical trends in the industries you follow.

Our broad coverage provides access to ratings, credit news, summary analyses, research updates, daily ratings screens, and CreditWatch lists for the Global Issuers, Structured Finance, and U.S. Public Finance sectors.