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Paper / 2026SMQ / 222199102413703
Attributing Differences Between Forecast Runs to Input Changes, With Applications to CCAR and CECL Exercises
Junze Lin / Xuan Mei
credit riskResource overview

Attributing Differences Between Forecast Runs to Input Changes, With Applications to CCAR and CECL Exercises

Paper2026

by Junze Lin, Xuan Mei

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credit risk

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Understand this paper

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

Before you read

  1. Credit Instruments, PD/LGD/EAD, and Rating Migration

    Separate default probability, loss severity and exposure.

  2. Conditional Expectation

    Read conditional default and exposure quantities.

  3. Random Variables and Distributions

    Represent losses as a distribution rather than one forecast.

  4. Expected Shortfall and Other Tail Risk Measures

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

Go further

  1. Threshold Models and the Gaussian Copula for Portfolio Default

    Study dependence between defaults.

  2. CVA and DVA

    Connect exposure and counterparty losses to valuation adjustments.

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

    Compare risk estimators and their assumptions.

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Lesson links open public previews. Access to full lessons depends on the topic and your membership.

Explore Counterparty Credit Risk and CVA Explore Quantitative Risk Management

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