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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Macroeconomic Scenario Screening™

Macroeconomic Scenario Screening™ is Risk Shell's proprietary framework for selecting investments according to their historical behaviour under user-defined macroeconomic conditions. Instead of calculating investment statistics over the complete historical record, the model identifies the periods in which a specified combination of market and economic factors was present and recalculates the relevant statistics using only those observations.

This creates a conditional investment screen. The question is no longer simply whether a fund, equity or other instrument has historically delivered an acceptable return, drawdown or risk profile. The investor can ask whether those characteristics remained acceptable specifically when the macroeconomic environment matched conditions relevant to the investment mandate.

Conditional Asset Selection

The investment constraints and the macroeconomic scenario perform separate functions within the model. The constraints define the characteristics an investment must satisfy: for example, minimum annualised return, maximum drawdown, VaR, volatility, downside risk, correlation or another Risk Shell statistic. The macroeconomic scenario determines the historical sample on which those statistics are calculated.

A scenario can, for example, specify equities in a bearish state, oil prices rising and credit spreads widening. Risk Shell identifies the historical intervals in which these factor states occurred simultaneously, aggregates the observations from those intervals and recalculates the selected investment statistics on the resulting conditional sample.

The screening engine then evaluates the investment universe against the user's constraints using those conditional statistics. Assets that performed well over the full historical period but behaved poorly during the selected macroeconomic conditions can therefore be distinguished from investments whose risk-return characteristics remained acceptable within the scenario.

Macroeconomic Factor States

Risk Shell uses Trend Segmentation™ to identify the relevant states of the selected market and macroeconomic factors. Rather than requiring the user to specify individual historical dates, the scenario is expressed directly through factor behaviour — for example rising, falling or neutral conditions — and Risk Shell determines when the required combination occurred historically.

Multiple factors can be combined into the same scenario. The conditional sample consists only of observations for which the required factor states overlap. This makes it possible to analyse investment behaviour under compound environments that are difficult to isolate through conventional performance screening.

Macroeconomic Scenario Screening™ Features

Macroeconomic Scenario Screening™ evaluates assets on the historical periods that matter most: when selected market and macro factors were under stress. Instead of averaging results across an entire trailing period, Risk Shell recalculates the selected statistics only on those conditional intervals.

The objective is to find managers and assets that still show acceptable return, drawdown and risk characteristics in difficult markets — not simply those with strong full-period averages supported by favourable conditions.

 

Risk and Return Statistics Recalculated for the Scenario

Macroeconomic Scenario Screening™ is not limited to comparing asset returns during the selected periods. Risk Shell recalculates the requested risk and return statistics using the conditional sample itself. Depending on the screening model, these may include annualised return, volatility, maximum drawdown, VaR, downside and tail-risk measures, correlation, regression statistics and other quantitative criteria available within Risk Shell.

The resulting statistics therefore describe the asset specifically under the selected macroeconomic conditions rather than across unrelated market environments contained in the full historical record.

Combine Scenario and Full-Sample Constraints

Conditional criteria can be combined with conventional full-sample screening rules within the same asset-selection process. An institution may, for example, require a fund to satisfy minimum long-term return and liquidity requirements across its complete history while also imposing a maximum drawdown or loss threshold specifically during a defined macroeconomic scenario.

This allows the investment mandate to separate structural requirements from scenario-dependent requirements instead of forcing both into a single historical statistic.

Different from Stress Testing

Macroeconomic Scenario Screening™ and stress testing answer different investment questions. Stress testing evaluates the potential portfolio or instrument response to a defined historical or hypothetical shock. Macroeconomic Scenario Screening™ searches the historical record for periods in which specified factor conditions actually coincided and evaluates investments using statistics calculated from those observations.

The distinction is important for manager and asset selection. The objective is not to estimate a single shock loss, but to identify investments whose broader risk-return characteristics were consistent with the investment mandate when the selected macroeconomic conditions prevailed.

From Asset Screening to Portfolio Construction

Scenario screening can be used across hedge funds, traditional investments and other supported Risk Shell asset universes. The resulting asset set can then be taken into peer analysis, risk assessment and portfolio construction. Macroeconomic factor exposures and stress-test results can also be incorporated later as portfolio optimization constraints, allowing the scenario-selection process to form part of a broader institutional investment workflow.

Conventional vs Macroeconomic Scenario Screening

CONVENTIONAL SCREENING

Traditional Asset Search

Screen investment universes using statistics calculated over a complete trailing period or fixed historical interval.

Primary objective
Identify assets with attractive overall historical risk-return characteristics.
Historical sample
Complete trailing period or user-defined closed interval.
Market conditions
Favourable, normal and adverse market periods are averaged within the same statistical sample.
Manager assessment
Performance statistics reflect the complete period and may conceal how effectively a manager responded to difficult markets.
Statistics
Return, drawdown, VaR, volatility, correlation, factor exposure and other measures calculated across the full sample.
Result
Assets satisfying the selected criteria on average over the chosen historical period.
Main question
Which assets have produced the preferred historical statistics over the selected period?
BEST FOR

General quantitative screening when the investment decision is based primarily on full-period historical performance and risk characteristics.

PROPRIETARY CONDITIONAL SCREENING

Macroeconomic Scenario Screening™

Identify investments that continue to perform effectively when markets are difficult by evaluating them only during user-defined adverse macroeconomic conditions.

Primary objective
Find strong assets and managers specifically during troubled market conditions, where investment selection is most difficult.
Historical sample
Only intervals in which the selected adverse macroeconomic factor states occur simultaneously. The intervals need not be contiguous.
Market conditions
Built for troubled markets. Scenarios are deliberately constructed around difficult environments such as falling equities, widening credit spreads or other unfavourable factor combinations.
Manager assessment
Evaluates whether manager skill and trading strategy remained effective and consistent specifically during adverse market periods.
Statistics
Return, drawdown, VaR, volatility, correlation, regression and other Risk Shell statistics are recalculated on the conditional sample.
Result
Assets whose risk-return characteristics remain acceptable when the selected difficult market conditions prevail.
Main question
Which assets and managers performed effectively when markets were under stress rather than merely looking strong during favourable periods?
BEST FOR

Institutions seeking managers, funds and other investments with demonstrated resilience, consistent strategy execution and effective risk management during stressed joint macro states.

Risk Shell Components

Risk management and portfolio construction for alternative investments