In this release, we enhanced user experience and analytical capabilities within the Portfolio Analytics suite. We added numerous enhancements to the scheduler, providing clients with greater flexibility and transparency in managing scheduled reports. Additionally, we introduced new functionalities in the Portfolio Analytics reporting tool, enabling clients to delve deeper into their portfolio holdings and assess overall exposure to specific securities across their entire portfolio universe.
Users can now choose a rolling 7-year or 10-year period timeframe option within the Portfolio Analytics Scheduler. This enhancement enables clients to schedule recurring reports using a 7-year or 10-year timeframe, with delivery options available via email or FTP.
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Users can now search for any portfolio, benchmark, index, or fund to view all scheduled reports associated with a specific entity. This provides complete transparency into reports that may be impacted by changes to the searched entity.
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Users can now access the total exposure (weight) of a specific security across all their portfolio holdings within a Portfolio Analytics report. This feature enhances transparency regarding their allocation to specific security as a constituent across every portfolio while also calculating the total exposure across all portfolios. For instance, if a user holds AAPL in seven different strategies or portfolios, they can quickly and easily view the weight of AAPL in each portfolio and its overall weight across their entire portfolio book.
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Users can now have enhanced transparency in their portfolio holdings with a drill-down feature in the time series and stacked bar charts within Portfolio Analytics. They can toggle between multiple view modes, and analyze individual groupings or securities and metrics across different time horizons. This added granularity provides users with greater flexibility to view and analyze different aspects of their selected portfolio.
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In this release, we added targeted alerts focusing on user-defined criteria to help users stay on top of credit risk changes. These alerts provide precise information on key areas of concern, ensuring that users do not miss critical shifts in credit risk and can make informed decisions swiftly and confidently.
Users can now set alerts to be notified of any changes in the RiskGauge Score or Early Warning Signal across a whole portfolio or on an individual company basis. These alerts can be customized to the user’s preference notifying them via email as soon as changes occur in their counterparties' credit risk.
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In this release, we enhanced Government, Supranational, Agency, and Corporate (GSAC) Bond Sector Curves, ensuring an accurate reflection of market factors, a pairing to the Global Industry Classification Standard (GICS), and detailed curve transparency to support our users’ pricing and regulatory needs.
The GSAC v3 Bond Sector Curves are now available in Credit Risk Pricing, featuring several enhancements to support better decision-making for risk assessments and pricing strategies. We expanded data coverage to 50 countries and regions including Asia Pacific, Eurozone, North America, and Global along with 24 currencies. We also added GICS sector data and all seniorities including Senior Secured, Senior Unsecured, and Subordinate bonds. Additionally, the improved methodology ensures that bond sector curves reflect the true underlying market factors. Finally, we added curve transparency, which displays bonds that exactly match the curve criteria, thereby supporting compliance and regulatory requirements across transfer pricing, valuation processes, and comprehensive credit risk assessments.
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In this release, we expanded our web-based Scorecards offering with a beta launch of the General Corporate Scorecard on the Capital IQ platform. This Scorecard leverages S&P Ratings’ methodology for credit assessment of corporates, allowing users to seamlessly access and manage their assessments within the Capital IQ platform. Additionally, we enhanced Project Finance Scorecard web application to support environmental, social, and governance (ESG) factors in Probability of Default (PD) assessments.
The General Corporate Scorecard on Capital IQ platform enables users to perform assessments by using Capital IQ financials or CreditStats Direct financial sources, or by manually entering data. The solution includes several features to enhance the assessment experience, such as the ability to export outputs to PDF and duplicate assessments. Users will also access a streamlined workflow for reviewing, editing, and approving assessments, simplifying their portfolio management needs.
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Note: Access to General Corporate Scorecards is given to select Capital IQ users with respective entitlements. Please contact your account team for further details.
Users can now assess the impact of ESG factors on the Probability of Default (PD) of their Project Finance assets, offering a more holistic view of risk.
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Note: Access to ESG considerations requires respective entitlements, please contact your account team for details.
In this release, we enhanced the Excel-like interface to closely align with the user’s traditional financial onboarding experience. Users will benefit from flexible features, including Excel export of extracted data and the creation of synthetic merged periods with various types of reporting periods. We made several enhancements to further improve efficiency in achieving a seamless spreading workflow. These include the ability to resize the verification workspace, an improved data item selection process with reordered dropdown options that align with standardized charts of accounts, easier signage update of values, and flexible options for more comprehensive ratio calculations.
The export feature for extracted tables now includes the option to export all tables from the uploaded documents to Excel for further analysis.
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Users can experience enhanced flexibility in working with the value columns for each table. This enhancement provides a clearer view of the table grid, prioritizing columns that are auto-identified as reported financial periods while allowing users to choose and update these periods as needed.
Additionally, users can merge reported periods to create new synthetic periods within ProSpread. This feature is designed to consolidate interim reported periods to create other standard periods, such as Year-to-Date (YTD) or Annual.
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Users can access several enhancements including improved data item mapping with an updated assigned data item dropdown, resized workspace views in Step 3, better-balancing capabilities with easy assignment updates in Step 4, easy signage values update, and flexible options for comprehensive ratio calculations.
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Users can generate a more comprehensive list of ratio outputs with the introduction of the Ratios feature. This new functionality allows users to confirm that all the unavailable ratio components can be ignored, thus assuming a value of 0 for these components for calculating ratios. As a result, users can now auto-calculate a higher number of ratio outputs which significantly improves utility and analysis, reducing the dependency on working with Excel models to calculate them.
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In this release, we introduced two key enhancements to the S&P Capital IQ Plug-In: PIT PD & Term Structure Metrics in RiskGauge and the Bond Implied Scoring (BIS) model metrics. These enhancements strengthen users' analytical capabilities, providing deeper insights into credit risk and bond market dynamics.
Users can access new PIT and Term Structure metrics to the RiskGauge model on the S&P Capital IQ Plug-In, enhancing their analytical capabilities. The new metrics include Credit Cycle adjusted Probability of Default (PD) and Term Structure metrics.
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Users can now access a new Bond Implied Scoring (BIS) model, a bond market-driven credit risk model designed to provide additional credit risk signals extracted from the corporate bond market. This model leverages S&P Global Market Intelligence’s extensive bond pricing and sector curve data to generate bond-implied credit scores, mapped to probabilities of default.
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