Compare Two Equity Risk Models
Point72Quantitative Researcher · Online AssessmentLast updated
Compare two equity risk models out of sample using forecast calibration, residual structure, stability, coverage, regimes, and portfolio impact.
Compare Two Equity Risk Models
Two candidate equity risk models provide factor exposures, factor covariance, and specific risk. Design an out-of-sample evaluation that determines which model is more useful for portfolio construction. Include predicted-versus-realized volatility, residual correlation, stability, coverage, and behavior across market regimes.
Constraints & Assumptions
- Model versions are reconstructed using only information available at each historical prediction date.
- Realized risk is noisy and must be measured over a future horizon.
- The production portfolios may differ from broad benchmark portfolios.
- A model can look accurate in aggregate while failing for important sectors, styles, or stress periods.
Clarifying Questions to Ask
- Which portfolios, holding horizons, and risk decisions will use the model?
- What minimum coverage and latency are required?
- Is the goal absolute risk, active risk, marginal risk, or all three?
- How costly are turnover, unstable exposures, and systematic residuals?
Hints
Hint 1
Evaluate the decision, not only the covariance matrix: Backtest risk forecasts on portfolios resembling production and measure whether the model improves sizing, constraints, and realized drawdown control.
Follow-up questions
- How would you compare models when realized covariance is itself estimated noisily?
- What does systematic correlation among residuals reveal?
- When might a slightly less accurate but more stable model be preferable?
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