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Counterparty Credit Risk and Credit Value Adjustment: A Continuing Challenge for Global Financial Markets, 2nd Edition
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Counterparty Credit Risk and Credit Value Adjustment: A Continuing Challenge for Global Financial Markets, 2nd Edition

by Jon Gregory
October 2012
Intermediate to advanced
481 pages
16h 54m
English
Wiley
Content preview from Counterparty Credit Risk and Credit Value Adjustment: A Continuing Challenge for Global Financial Markets, 2nd Edition

8.6 Risk-Neutral or Real-World?

A final consideration in terms of defining credit exposure is whether it should be done with respect to risk-neutral or real-world parameters. In the most simple terms, pricing (CVA) should use the former whilst risk management (PFE) the latter. However, the actual situation is more complicated.

8.6.1 The Importance of Measure

Scenario generation for risk management purposes and arbitrage pricing theory use different “measures”. Arbitrage-based pricing uses the so-called risk-neutral measure, which is justified through hedging considerations. Parameters (and therefore probability distributions) such as drifts and volatilities are market-implied and need not correspond to the real distributions (or even comply with common sense). For a risk management application, one does not need to use the risk-neutral measure and should be focused rather on the real-world measure, estimated using, for example, historical data. Risk-neutral parameters are typically used in pricing applications (CVA), whilst real-world parameters generally form the basis of risk management models (PFE). This is the general distinction but there are necessary exceptions, which we discuss below.

The types of parameters to be considered are:

  • Drift – the trend of market variables.
  • Volatility – the future uncertainty of market variables.
  • Correlation – the co-movement between market variables.

In addition to the above general definitions, effects like mean-reversion should be considered. ...

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Publisher Resources

ISBN: 9781118316665Purchase book