Alternative Investment Management Software

Risk Shell

Institutional portfolio management, risk analytics and portfolio construction for alternative and multi-asset portfolios.

Integrated investment data, stress testing, portfolio optimization, alternative investment analytics and shadow accounting within one platform.

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FoF Manager

Shadow Accounting for Alternative Portfolios

Manage hedge funds, private equity and multi-asset portfolios with liquidity controls, custom classifications and flexible historical accounting.

35+ hedge fund liquidity settings
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Portfolio Optimization

Nonlinear Portfolio Optimization

Construct hedge fund-of-funds and multi-asset portfolios with stress-test, factor-exposure, liquidity and other user-defined constraints.

Custom Constraints for market-neutral and risk-controlled portfolio construction
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Risk Shell AI

Natural-Language Access to Risk Shell

Use natural language to access investment research, risk analytics and portfolio workflows.

2.3B tokens in our in-house financial LLM
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Macroeconomic Scenario Screening

Select Assets for the Scenario You Define

Screen managers by risk and return targets under user-defined macroeconomic scenarios.

Trend Segmentation™ proprietary regime-analysis engine
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Peer-relative Stress Testing
Portfolio Stress Testing

Peer-Relative Stress Testing

Compare extreme-event outcomes with a relevant peer group.

500K+ live stress-tested instruments
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Credit Risk arises when the financial condition or perceived creditworthiness of an issuer or counterparty deteriorates. The resulting loss may occur through default, a rating downgrade, widening credit spreads or a reduction in the market value of instruments exposed to that credit.

For hedge funds investing in bonds, loans, structured credit or credit derivatives, credit risk can represent a major source of portfolio return and loss. A position may lose value well before an actual default if investors require a higher yield to compensate for increased credit risk. Consequently, credit analysis should consider both default risk and the effect of changes in credit quality on market prices.

Credit Risk should be assessed at the issuer or obligor level, with particular attention to default probability, rating migration, credit-spread changes and concentration of exposures to individual issuers, sectors or credit-quality groups. For portfolios containing bonds, loans, structured credit or credit derivatives, the analysis should determine how deterioration in underlying credit quality may affect both instrument values and aggregate portfolio losses.

Credit risk can be assessed using issuer and counterparty limits, credit-quality analysis, spread sensitivity, concentration analysis, stress testing and quantitative portfolio models. VaR-based methods may also be applied to estimate losses resulting from changes in credit spreads or credit quality, although default and extreme credit events require separate consideration.

Due diligence should identify where credit exposure is concentrated, how the manager establishes and monitors limits, and whether changes in issuer or counterparty quality are reflected promptly in portfolio decisions. For leveraged or concentrated strategies, relatively small changes in credit conditions can have a disproportionate effect on portfolio value.