BASEL REFORMS

This session focuses on Commodity Vega (CMVG), which measures the risk of changes in the implied volatility of commodity prices. Unlike delta risk, which captures changes in commodity spot prices themselves, vega risk quantifies how CVA value changes when commodity volatility shifts. This is particularly important for portfolios with optionality, where volatility movements can significantly impact valuations independent of directional price changes.

This session focuses on Equity Vega (EQVG), which measures the sensitivity of CVA to changes in equity volatility. EQVG captures how shifts in implied volatility across equity markets affect the valuation of derivatives and hedging instruments within the CVA framework.

This session focuses on Reference Credit Spread Vega (RCSVG), which measures the sensitivity of CVA to changes in the volatility of credit spreads for reference entities in credit derivatives. Unlike Counterparty Credit Spread Delta (which has no vega component), RCSVG captures the option-like characteristics of credit exposure, as volatility in reference credit spreads directly affects the potential future exposure in Monte Carlo simulations.

This session focuses on Foreign Exchange Vega (FXVG), which measures the sensitivity of CVA to changes in FX implied volatility. FXVG captures the volatility risk arising from FX options and other derivatives with exposure to FX volatility.

This session focuses on Interest Rate Vega (IRVG), which measures the sensitivity of CVA to changes in interest rate option volatilities. IRVG captures volatility risk, addressing how changes in implied volatilities affect the pricing of swaptions and other interest rate derivatives commonly used in CVA hedging strategies.

This session focuses on Commodity Delta (CMDL), which measures the sensitivity of CVA to shifts in commodity spot prices across energy, metals, agricultural, and other commodity sectors.

This session focuses on Equity Delta (EQDL), which measures the sensitivity of CVA to movements in equity spot prices. EQDL captures how changes in equity valuations affect counterparty exposure, particularly in portfolios containing equity derivatives or equity-linked instruments.

his session focuses on Reference Credit Spread Delta (RCSDL), which measures the sensitivity of CVA to changes in the credit spreads of reference entities underlying credit derivatives. Unlike counterparty credit spread risk which captures direct counterparty default risk, RCSDL addresses the mark-to-market impact of spread movements on derivative instruments where credit risk is the underlying exposure.

This session focuses on Counterparty Credit Spread Delta (CCSDL), which measures the sensitivity of CVA to changes in counterparty credit spreads. CCSDL captures the primary driver of CVA volatility—the creditworthiness of the entities with whom the bank trades derivatives. When a counterparty's credit spread widens, it signals deteriorating credit quality and drives CVA values higher, directly impacting the bank's profit and loss.

This session focuses on Foreign Exchange Delta (FXDL), which measures the sensitivity of CVA to movements in foreign exchange spot rates relative to the firm's reporting currency. FXDL captures directional FX exposure using a star topology where all currency pairs are measured against the reporting currency as the numeraire.

Interest Rate Delta (IRDL) measures the sensitivity of CVA to changes in risk-free interest rates. When yield curves shift, the impact propagates through both the exposure simulation and the discounting process, directly affecting CVA values. IRDL captures this fundamental risk by quantifying how a one-basis-point movement in interest rates translates into CVA capital requirements.

The Standardised Approach for CVA Risk (SA-CVA) is a sensitivity-based capital framework that calculates regulatory capital requirements for Credit Valuation Adjustment risk. Unlike the basic approach which applies formulaic calculations, SA-CVA measures how a bank's aggregate CVA changes in response to movements in granular risk factors such as interest rates, foreign exchange rates, credit spreads, equity prices, and commodity prices.

Under the Prudential Regulation Authority’s (PRA) near-final rules in PS9/24, the transition to the Basic Approach for CVA (BA-CVA) introduces a rigorous, formulaic framework for capitalizing counterparty credit spread risk. This technical walkthrough explores the final stages of the regulatory methodology: K Full and K Final.

In the final stages of the Full BA-CVA approach, we move from analyzing individual hedges to calculating . This represents the total capital requirement for a portfolio where all eligible hedges—Single Name (SNH) and Index (IH)—are integrated. It is the mathematical "net" view of your CVA risk profile, incorporating both the benefits of risk mitigation and the penalties for hedging imperfections.

Index Hedges (IH) serve as a primary mitigant for the systematic component of counterparty credit spread risk. Under the PRA's PS9/24 framework, these broad-market instruments allow firms to offset market-wide volatility, provided they adhere to specific mapping rules and the mandatory 0.7 risk weight multiplier.

In the transition to the Full BA-CVA framework, firms are encouraged to actively manage their risk through eligible credit hedges. However, regulatory capital relief is not granted without scrutiny. The Hedge Mismatch Adjustment (HMA) represents a critical technical component that penalizes basis risk—the inherent uncertainty that arises when a hedging instrument does not perfectly reference the same legal entity as the underlying exposure.