Sponsored by HiddenLevers 
Still reeling from the earthquake in equities that was the COVID Crash and recovery, financial professionals are re-evaluating their risk analysis frameworks and remain on high alert for pandemic aftershocks.
The HiddenLevers risk model performed well during the 2020 COVID crash and rebound on both upside and downside outcomes, capturing macro nuances that Value-at-Risk and Monte Carlo risk models cannot address. While volatility may describe the randomness of price movements well, it does a poor job of predicting capital loss when correlations in markets break down and there are significant market sell-offs. To overcome these problems, advisors and investors need to spend less time looking backward and instead focus on the future.
In this HiddenLevers white paper, we:
- Take a detailed look at our risk methodology
- Examine our focus on forward looking scenarios to accurately prepare for risk
- Explore our model's efficacy + predictive capabilities compared to common risk models used today
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