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How Safe are Central Counterparties in Derivatives Markets?
H Peyton Young / Mark Paddrik
credit risk / derivativesResource overview

How Safe are Central Counterparties in Derivatives Markets?

Paper2017

by H Peyton Young, Mark Paddrik

Tags
credit riskderivativesfinancial networks

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Understand this paper

Suggested foundations for options and derivatives pricing and credit and counterparty risk. Specialist prerequisites vary by paper.

Before you read

  1. The Binomial Model

    Build replication and risk-neutral probabilities in a tractable model.

  2. Market Model and Risk-Neutral Valuation

    Distinguish pricing probabilities from physical forecasts.

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

    Separate default probability, loss severity and exposure.

  4. Conditional Expectation

    Read conditional default and exposure quantities.

Go further

  1. The Black-Scholes PDE, Formula and Implied Volatility

    Connect the pricing equation, closed-form value and implied volatility.

  2. Threshold Models and the Gaussian Copula for Portfolio Default

    Study dependence between defaults.

  3. CVA and DVA

    Connect exposure and counterparty losses to valuation adjustments.

Explore a related reading path

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

Explore Derivatives Pricing and Computational Finance Explore Counterparty Credit Risk and CVA

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