Alternative Asset Management

Bringing together credit, valuation, liquidity, and counterparty intelligence across the full investment lifecycle, S&P Global Market Intelligence’s Risk & Valuations Suite supports better underwriting, portfolio risk management, operational efficiency, and regulatory compliance across private and alternative assets. 

Strengthen private and alternative underwriting with forward-looking credit, macro, and valuation intelligence.

• Broaden the opportunity set in private and illiquid markets when transparency is limited by enabling consistent screening across public and unrated private issuers using modeled credit and macro insight.
• Strengthen underwriting discipline where comparables are scarce by applying integrated credit and macro insight across private and structured assets to assess issuer strength and downside risk.
• Improve fair value defensibility across mixed liquidity portfolios by enabling consistent comparison of valuation, liquidity, and credit risk across liquid and illiquid holdings.
• Identify portfolio stress earlier when performance shifts don’t show up in reported financials by surfacing early operational and market signals to inform underwriting decisions.
• Support investment conviction under governance scrutiny with independent benchmarks and forward‑looking risk signals that strengthen valuation governance and investor transparency, driving clearer IC decisions. 

• Capture differentiated alpha in flexible/leveraged mandates using scalable time‑series datasets integrated into systematic models across long/short, relative value, and multi‑asset strategies.
• Reduce model risk in volatile regimes with robust back‑testing across time, regimes, and asset classes, increasing confidence in live strategy performance.
• Generate alternative alpha beyond traditional disclosures by surfacing indicators tied to physical trade flows, supply chains, and economic activity, revealing earlier inflection points.
• Improve timing and risk management by monitoring crowding and leverage‑driven positioning through transparent sentiment and positioning signals.
• Deploy signals faster from research to production with standardized, production‑ready datasets that integrate cleanly into research, portfolio construction, and monitoring workflows. 

• See downside concentration risk earlier when market dislocations hit leveraged portfolios by using integrated market risk analytics across liquid and illiquid exposures.
• Intervene sooner in private credit deterioration when market signals are absent by applying forward‑looking credit metrics and independent benchmarks across rated and unrated holdings—supporting capital preservation.
• Manage liquidity and exit timing risk in less‑liquid holdings using liquidity indicators and pricing transparency to assess tradability and constraints—supporting capital calls, distributions, and exits.
• Prepare for tail events and impairment risk by running scenario‑based stress tests using macro and credit assumptions to quantify potential losses.
• Clarify return drivers across illiquid and levered exposures with risk decomposition that supports portfolio adjustments and better alignment between risk, return, and capital preservation objectives. 

• Strengthen valuation governance and LP confidence when fair value requires robust documentation by using independent, market‑consistent valuations that support reporting and audit defensibility.
• Reduce operational risk and margin disputes by improving calculation and monitoring of margin/collateral obligations across derivatives and leverage structures.
• Lower breaks and governance risk from messy data by maintaining standardized, validated reference data as a single source of truth across entities, instruments, and ownership.
• Support benchmark tracking in listed/interval structures with precise, timely index/ETF updates and intraday valuations, improving benchmark tracking and compliance.
• Improve capital efficiency and liquidity planning by using transparent pricing and financing inputs to support capital allocation, funding, and collateral decisions across fund structures. 

• Accelerate investor onboarding with lower compliance risk when beneficial ownership checks are complex by automating screening against sanctions, PEPs, and adverse media using trusted regulatory data.
• Reduce regulatory breaches and reputational risk by continuously screening portfolios (including underlying holdings) to detect direct and indirect sanctioned exposure across private holdings, co‑investments, and structured vehicles.
• Clarify obligations across regimes and jurisdictions using regulatory classification data to determine which rules and reporting requirements apply, with less manual interpretation.
• Lower reporting risk and findings by supporting accurate, timely reporting across private fund regimes and investor transparency requirements.
• Enforce side letters and LP restrictions at scale with automated checks against mandates, restrictions, and exclusion lists, strengthening governance without slowing investment decisions. 

• Reduce market impact and forced deleveraging risk by assessing pre‑trade liquidity conditions with transparent pricing and liquidity indicators across liquid and less‑liquid exposures.
• Improve entry/exit and leverage decisions by detecting crowding, short positioning, and leverage‑driven exposure through positioning and borrowing activity signals.
• Lower funding costs and improve leverage efficiency with transparency into securities lending, repo markets, and collateral availability to inform financing, margin, and collateral decisions.
• Deliver more predictable execution and funding outcomes by balancing timing, liquidity, financing capacity, and risk using integrated pre‑trade liquidity and market transparency. 

• Mitigate counterparty‑driven liquidity and leverage risk earlier when deterioration impacts leveraged portfolios by using forward‑looking credit and market‑implied risk insight to assess counterparty strength and emerging stress.
• Improve operational resilience, valuation governance, and investor confidence by centralizing and standardizing due diligence across prime brokers, administrators, valuation agents, and financing partners.
• Respond faster to emerging stress events by enabling continuous monitoring of counterparties and third parties using dynamic risk signals and alerts, especially for margin‑intensive strategies.