Risk and Performance

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SciX index clients benefit from live equity portfolio analytics that make risk, performance and the consequences of index-design choices transparent before and after implementation.

Key Risks and Performance Analytics

Risk Exposure Analysis

Analyze factor, sector and macroeconomic exposures using a consistent framework designed to reveal the sources of portfolio risk.

Performance Attribution

Break down performance through fundamental factor, sector or currency models to understand what has driven realized returns.

Risk and Performance Drivers

Identify contributors to specific risk and unexplained performance at portfolio, instrument and security level, with tools designed to distinguish signal from noise.

Diversification and Extreme Risk

Measure diversification through risk contributions and assess extreme losses using advanced statistical analysis and conditional simulations.

What-If Analysis and Simulation

Test alternative portfolios and benchmarks, place realized outcomes in context and project beyond the historical sample through long-term multi-factor simulations.

Challenges We Help You Solve
Do You Understand What Is Driving Index Risk?

Tracking error alone does not explain where portfolio risk comes from. SciX analytics decompose factor, sector, macroeconomic and specific risks so clients can understand the exposures created by an index methodology or customization choice.
Can You Explain Performance Beyond Headline Returns?..

Simple benchmark comparisons provide only part of the picture. Factor, sector and currency attribution help explain realized performance and identify drivers that might otherwise remain hidden...
Are You Separating Persistent Exposures From Noise?…..

Granular analysis and confidence intervals help distinguish meaningful exposures and performance drivers from effects that may be statistically uncertain or specific to individual securities...
What Could Have Happened Beyond the Realized Sample?..

Historical backtests provide only one observed path. What-if analysis and conditional and unconditional simulations help clients assess index behavior across a broader range of potential market environments.
What Are the Consequences of a Design Change?..

Changing an objective, constraint or benchmark can affect exposures, diversification, tracking error and expected portfolio behavior. Live analytics allow SciX clients to evaluate these consequences as index specifications are developed and refined.
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How Analytics Support Index Design and Oversigh

Analyze the Starting Point
Assess the reference benchmark, existing portfolio or proposed index across risk and performance dimensions to establish a transparent analytical baseline.
Test Index Design Choices
Adjust objectives, constraints or portfolio specifications and compare before-and-after results to see how proposed changes affect exposures, diversification, tracking error and other financial characteristics.
Backtest, Simulate and Monitor
Compare the index with benchmarks or relevant reference portfolios, run backtests and simulations, and use the same transparent analytical framework to support implementation and ongoing client oversight.

Summary of Functionalities

Investment Philosophy

From Analysis to Insight: Risk and Performance Analytics

Risk and Exposure Analysis

Analyze factor, sector and macroeconomic risks using robust forward-looking estimates.

Measure risk contributions, examine diversification and drill down from portfolio-level exposures to individual instruments and securities.

Identify the sources of specific risk and use confidence intervals to distinguish meaningful signals from noise.
Performance Attribution and Alpha Analysis

Explain realized performance through fundamental factor, sector or currency models.

Identify unexplained performance and assess alpha within a flexible and transparent framework, with attribution available at both portfolio and granular security level.

What-If Analysis and Multi-Factor Simulation

Place historical outcomes in context by testing alternative portfolios, benchmarks and market conditions.

Long-term factor and macroeconomic data support conditional and unconditional simulations that allow clients to explore both extreme risks and a broader distribution of potential outcomes.

Why Analytics Matter for SciX Index Clients

SciX index clients can see what is driving risk and performance rather than treating the delivered index as a black box. Live analytics make methodology choices and their portfolio consequences easier to understand and explain.

Analytics are embedded in the SciX index-design and customization process. Clients can assess proposed changes, compare alternatives and understand trade-offs while an index specification is being developed.

The analytics platform is provided to SciX index clients as part of a broader index relationship, supporting transparent discussion, customization and oversight rather than operating as a separate software proposition.

Discuss Your Climate Index Requirements with SciX

Explore how SciX combines climate equity indices with live risk and performance analytics to make index design, customization and portfolio consequences more transparent.
Contact SciX to discuss your climate objectives, benchmark constraints, index requirements and supporting analytics.

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