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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As it has become clear that hedge fund indices hardly provide a strong representation of single funds, we may ask the question: Why should this matter? How could the pitfalls and drawbacks of the index methodology affect the due diligence practice? The two following points explain this problem.

First, using indices as benchmarks of hedge fund performance likely results in collating two uncorrelated (or low correlated) asset classes. The common practice of hedge fund assessment implies comparing various fund performance attributes with those of a corresponding index. Typically, it includes returns, risk statistics (the VaR or the standard deviation), a number of positive months, largest drawdowns, time-under-water and so on. Next, that comparison leads to a conclusion whether the fund outperforms or underperforms the related index. However, if the index is poorly linked with the fund, i.e. exhibits a low representativity, the entire analysis makes little sense.

Second, fully relying on index analysis, we disregard key factors driving the fund’s performance. In other words, there could be various groups of factors better correlated with the fund and, consequently, providing a deeper insight into the fund’s behavior. However, identifying those factors requires applying advanced techniques of the multiple regression or Principal Components analyses, which are not so simple.

Unfortunately, in practice, the described problems are hardly ever taken into account. Applying the naive and simplistic approach of comparing fund performance against uncorrelated indices, we ignore one of the main aspects of the alternative investment industry - alpha generation. Driven by the incentive fees, hedge fund managers aim to produce absolute returns rather than beating the index. This contrasts drastically with traditional mutual fund managers. Therefore, hedge funds, by their nature, tend to deliver returns that would unlikely follow the related strategy index. In turn, this makes a due diligence task even more complicated, because requires the deep investigation of the real driving forces behind the strategy label.

 

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    Hedge Fund Index Inconsistency: problems and solutions.

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