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Numeric Models Risk

The Underlying Index uses Numeric models in its methodology, which depend on various data sources that may be inaccurate or incomplete, rendering the models potentially unreliable. Historical market data may not predict future price movements, and unusual market events can lead to unexpected outcomes. Models may also have hidden biases and could incur losses if actual events diverge from their assumptions. Additionally, performance may be affected by software issues or programming errors. While the Underlying Index aims to reflect private equity performance and risk like private equity buyout funds, there is no guarantee that public equities will achieve this exposure or that the models will effectively provide it.

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