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Paper / 2026SMQ / 1483677178379
Climate-Conditioned Cascade Modeling for Multi-Peril Reinsurance: Analysis and Controlled Numerical Applications
E. Salavati / F. Shokrollahi / N. Karimi
insuranceResource overview

Climate-Conditioned Cascade Modeling for Multi-Peril Reinsurance: Analysis and Controlled Numerical Applications

Paper2026

by E. Salavati, F. Shokrollahi, N. Karimi

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insurance

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

Before you read

  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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