Investment Banking

Investment banks operate in an environment where credit, market dynamics, regulatory scrutiny, and investor sentiment intersect at speed. To compete and execute with confidence, teams need more than data, they need connected intelligence that supports decisions from origination through execution and beyond.

S&P Global Market Intelligence's, Risk and Valuations Services brings together credit, market, macroeconomic, and risk intelligence to support investment banks across the full deal lifecycle, enabling smarter structuring, confident execution, differentiated insight, and resilient, compliant operations.

Evaluate, model, and optimize credit impact to structure deals that preserve ratings and maximize financing capacity.

• Model transaction feasibility before you commit: simulate leverage and rating implications for M&A and financings to clarify credit headroom early, so you know how much debt the deal can support.
• Optimize capital structure without risking downgrades: test multiple debt/equity mixes (and scenarios) to find structures that preserve target ratings, maximizing funding while protecting credit quality.
• Build a credible, defensible deal narrative: benchmark against rated peers and comparables using unified credit/industry/market context, strengthening how the deal is positioned with investors and stakeholders.
• Avoid post‑deal rating surprises: forecast rating outcomes under different leverage and liquidity scenarios and identify downgrade triggers via stress testing, so downside is understood before commitments are made.
• Enter agency discussions aligned and prepared: use PD/LGD benchmarks and data‑driven issuer readiness talking points, improving credibility and reducing execution risk late in the process.

Structure, price, and distribute new issues with confidence, aligning credit, market signals, and investor demand.

• Launch deals at market‑clearing levels: anchor pricing with independent bond, CDS, and loan benchmarks to improve price discovery—helping you set terms investors will support.
• Position offerings to the right investors early: identify comparable issuers and investor demand signals to clarify appetite—so you can target the right accounts from day one.
• Confirm credit readiness pre‑launch: simulate leverage and rating outcomes to validate size/structure feasibility—reducing downgrade risk after announcement.
• Execute syndications faster and protect balance sheet: monitor credit and investor signals in real time, stress‑test pipelines for downgrade/market shocks, and aggregate exposures by sector/rating/geography—preventing stuck deals and hidden concentration risk.
• Time issuance and origination with stronger signals: track macro/credit indicators, investor sentiment (via securities finance/spread analytics), and sector outlooks—so issuance windows and sector targeting are data‑driven.

Transform credit, macro, and market data into differentiated insights that drive research, origination, and client engagement.

• Cut through market noise and identify inflection points earlier: use proprietary PMI® and economic forecasts to spot macro shifts, helping research and origination act ahead of consensus.
• Focus coverage on sectors that matter: monitor sector‑specific trends and outlooks to prioritize themes and industries, aligning research effort to where opportunities (or risks) are rising.
• Generate proactive ideas, not reactive commentary: combine leading indicators with credit‑derived signals to surface trade and research ideas earlier, supporting differentiated insight.
• Build a complete issuer view across asset classes: unify ratings, default histories, and market spreads for credit research, and standardize valuation inputs for equity research, producing consistent, defensible analysis.
• Increase research impact and client engagement: automate data updates into templates/CRM, communicate via dashboards linking credit/macro/pricing data, and use distribution insights to align content to what resonates most.

Anticipate, quantify, and report risk with confidence by integrating credit, market, third-party, and systemic insights.

• Know where risk really sits across counterparties: aggregate and monitor exposure across counterparties and asset classes to improve visibility and support IMM and SA‑CCR compliance.
• Act before defaults or downgrades: detect early deterioration using forward‑looking PD/LGD models and early‑warning signals, reducing reactive credit tracking.
• Maintain continuous portfolio control: combine ratings, default probabilities, and sector signals into unified surveillance, improving oversight and reducing fragmentation.
• Meet capital rules with confidence (market/systemic risk): calculate market risk capital under FRTB/VaR frameworks with consistent inputs, quantify shock impacts on P&L and capital adequacy via scenario modeling, and assess liquidity/funding risk using pricing/repo/securities‑finance data.
• Strengthen third‑party oversight and enterprise reporting: standardize vendor due diligence with audit trails, automate continuous monitoring (financial/cyber/ESG alerts), and combine credit/market/vendor metrics into dashboards with board‑ready, auditable reporting.

Run accurate, resilient, and compliant operations with trusted pricing, data, and controls across the post-trade lifecycle.

• Defensible valuations and cleaner P&L: provide independent, market‑validated prices for IPV, apply transparent methodologies for illiquid/complex assets, and independently validate valuation adjustments/reserves, reducing disputes and model risk.
• Margin compliance without operational drag: automate initial margin calculations, improve collateral valuation accuracy, and support transparent pricing workflows to resolve disputes faster, optimizing collateral usage.
• Fewer trade breaks through better data foundations: centralize instrument data, maintain clean issuer/entity hierarchies, and automate ratings updates, improving exposure aggregation and “always‑current” compliance.
• Earlier risk mitigation through continuous oversight: monitor counterparty credit quality continuously and centralize third‑party risk governance, supporting defensible governance.
• Always inspection‑ready: maintain auditable operational risk records and governance documentation so teams can respond to regulatory scrutiny with confidence.