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Deviance Voronoi Residuals for Space-Time Point Process Models: An Application to Earthquake Insurance Risk
Debbie Dupuis / Melina Mailhot / Roba Bairakdar
insuranceResource overview

Deviance Voronoi Residuals for Space-Time Point Process Models: An Application to Earthquake Insurance Risk

Paper2024

by Debbie Dupuis, Melina Mailhot, Roba Bairakdar

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insurance

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Suggested foundations for risk measurement and stress. Specialist prerequisites vary by paper.

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  1. Random Variables and Distributions

    Represent losses as a distribution rather than one forecast.

  2. Expected Shortfall and Other Tail Risk Measures

    Distinguish a loss quantile from the average loss in the tail.

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  1. VaR Estimation in Practice: Variance-Covariance, Historical Simulation, Monte Carlo

    Compare risk estimators and their assumptions.

  2. Backtesting VaR and ES: Coverage Tests and Model Validation

    Check forecasts against realised losses.

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