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SSRN Electronic Journal
Article . 2015 . Peer-reviewed
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Modeling Path Dependent Counterparty Credit Risk

Authors: Zhou, Richard;

Modeling Path Dependent Counterparty Credit Risk

Abstract

Path dependent counterparty credit risk exposure modeling poses challenges. In this paper, we discuss practical models for consistent and accurate estimation of counterparty credit exposure involving path-dependent derivatives. We derive analytical formulas for standalone expected exposure (EE), potential future exposure (PFE) and unilateral CVA for swap, swaption and barrier option. These formulas are of practical importance to financial institutions that use standalone exposure profiles, as well as to facilitate model validation and benchmarking.

Keywords

Counterparty credit risk, path-dependent, PFE, EE, jel: jel:C02, jel: jel:C6

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze