ON THE CVA OF CREDIT DEFAULT SWAPS: THE IMPLICATION OF DEPENDENCE USING A COPULA APPROACH
Abstract
This study examines the nature and background to the Credit Value Adjustment(CVA),
a concept that has gained focus due the it’s heightened importance for financial institutions
subsequent to the 2008 financial crisis. CVA can be defined as the the price
that should be added to the bilateral defaultable contract to adjust for the existing
Counterparty Credit Risk (CCR) so that the contract will have the same value as a
corresponding risk-free contract. This thesis aims to derive and implement a CVA
measure of a Credit Default Swap (CDS) under the presence of Wrong Way Risk
(WWR). The Credit Default Swap is roughly an insurance against potential losses
suffered from a default of an obligor, typically a company or a sovereign state , often
denoted by the reference entity. The CDS contains of the buyer and seller of the CDS,
and the reference entity. The buyer of protection has to pay a quarterly payment to
the seller of protection, which in turn has to pay a nominal amount to the buyer in
the case of default of the reference entity. In this setting, WWR can be defined as
the risk of a negative relationship between the reference entity and the sellers credit
quality. We are using the semi-analytical expression derived in Herbertsson (2023)
to examine CVA under different values parameters correlation and default intensity,
which is the default rate for a certain time period conditional on no earlier default.
In line with Arismendi-Zambrano et al. (2022), the results show that CVA is increasing
with both parameters. An additional two studies are made on the time-series
CVA. The first one exhibited an increase in CVA losses during the 08’ crisis and the
Europen Debt Crisis. Furthermore, we examine the time-series CVA under different
values of correlation which confirmed a positive relationship between them.
Degree
Master 2-years
Other description
MSc in Finance
Collections
View/ Open
Date
2023-06-29Author
Alm, Sebastian
Fredriksson Pregmark, Joel
Keywords
Credit Value Adjustment
Counterparty Credit Risk
Wrong Way Risk
Credit Default Swap
Semi-Analytical Model
Interest Rate Swap
Series/Report no.
2023:196
Language
eng