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Paper / 2026SMQ / 160204977489813
Capital allocation and tail central moments for the multivariate normal mean-variance mixture distribution
Enrique Calderín-Ojeda / Soon Wei Tan / Yuyu Chen
tail riskResource overview

Capital allocation and tail central moments for the multivariate normal mean-variance mixture distribution

Paper2026

by Enrique Calderín-Ojeda, Soon Wei Tan, Yuyu Chen

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tail risk

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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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