Credit valuation adjustment
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A Credit valuation adjustment (CVA), Template:Efn in financial mathematics, is an "adjustment" to a derivative's price, as charged by a bank to a counterparty to compensate it for taking on the credit risk of that counterparty during the life of the transaction. "CVA" can refer more generally to several related concepts, as delineated aside. The most common transactions attracting CVA involve interest rate derivatives, foreign exchange derivatives, and combinations thereof. CVA has a specific capital charge under Basel III, and may also result in earnings volatility under IFRS 13, and is therefore managed by a specialized desk. CVA is one of a family of related valuation adjustments, collectively xVA; for further context here see Template:Slink.
Calculation
In financial mathematics one defines CVA as the difference between the risk-free portfolio value and the true portfolio value that takes into account the possibility of a counterparty's default. In other words, CVA is the market value of counterparty credit risk. This price adjustment will depend on counterparty credit spreads as well as on the market risk factors that drive derivatives' values and, therefore, exposure. It is typically calculated under a simulation framework.[2] [3] [4] (Which can become computationally intensive; see Template:Efn.)
Risk-neutral expectation
Unilateral CVA is given by the risk-neutral expectation of the discounted loss. The risk-neutral expectation can be written [5] [6] as
where is the maturity of the longest transaction in the portfolio, is the future value of one unit of the base currency invested today at the prevailing interest rate for maturity , is the loss given default, is the time of default, is the exposure at time , and is the risk neutral probability of counterparty default between times and . These probabilities can be obtained from the term structure of credit default swap (CDS) spreads.
Exposure, independent of counterparty default
Assuming independence between exposure and counterparty's credit quality greatly simplifies the analysis. Under this assumption this simplifies to
where is the risk-neutral discounted expected exposure (EE):
Approximation
The full calculation of CVA, as above, is via a Monte-Carlo simulation on all risk factors; this is computationally demanding. There exists a simple approximation for CVA, sometimes referred to as the "net current exposure method".[3] This consists in: buying default protection, typically a Credit Default Swap, netted for each counterparty; and the CDS price may then be used to back out the CVA charge. [3] [7]
Accounting treatment
The CVA charge may be seen as an accounting adjustment made to reserve a portion of profits on uncollateralized financial derivatives. These reserved profits can be viewed as the net present value of the credit risk embedded in the transaction. Thus, as outlined, under IFRS 13 changes in counterparty risk will result in earnings volatility; see Template:Slink and next section.
Function of the CVA desk
Template:Further In the course of trading and investing, Tier 1 investment banks generate counterparty EPE and ENE (expected positive/negative exposure). Whereas historically, this exposure was a concern of both the Front Office trading desk and Middle Office finance teams, increasingly CVA pricing and hedging is under the "ownership" of a centralized CVA desk. [8] [9]
In particular, this desk addresses volatility in earnings due to the abovementioned IFRS 13 accounting standard requiring that CVA be considered in mark-to-market accounting. The hedging here focuses on addressing changes to the counterparty's credit worthiness, offsetting potential future exposure at a given quantile. Further, since under Basel III, banks are required to hold specific regulatory capital on the net CVA-risk,[3] the CVA desk is responsible also for managing (minimizing) the capital requirements under Basel.
See also
Notes
References
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External links
- Corporate Finance Institute (N.D.). Credit Valuation Adjustment (CVA)
- Laura Ballotta, Gianluca Fusai and Marina Marena (2016). "A Gentle Introduction to Default Risk and Counterparty Credit Modelling". Template:Ssrn
- ↑ Basel Committee (2020). Credit valuation adjustment framework
- ↑ Template:Cite web
- ↑ 3.0 3.1 3.2 3.3 Harvey Stein (2012). "Counterparty Risk, CVA, and Basel III"
- ↑ CVA calculation example: Monte-Carlo with Python
- ↑ Template:Cite web
- ↑ Template:Cite web
- ↑ Template:Cite web
- ↑ Kenneth Kapner and Charles Gates (2016). "The Long and Short of It: An Overview of XVA". GFMI
- ↑ James Lee (2010). Counterparty credit risk pricing, assessment, and dynamic hedging, Citigroup Global Markets