Featured Speakers:Īndrew McClelland, PhD, Director of Quantitative Research, NumerixĪndrew McClelland’s quantitative research at Numerix focuses on XVA pricing and hedging, generating counterparty credit risk metrics for structured products, and estimating risk model parameters via time-series estimation. To view the on-demand webinar, just register on the right side of this page. Is it possible to approximate KVA using the usual EE profiles that are used for CVA and FVA?.Can we speed up the calculation of things like of future EE profiles using LSMC?.Why are CCR and CVA capital requirements difficult to simulate and why is KVA harder to compute than CVA and FVA?.How is KVA calculated and how is it similar to CVA and FVA calculations?.Why do capital requirements need to be priced into trades via KVA?.McClelland addressed the following questions: He discussed the simulation of future CCR and CVA capital requirements, highlighted the importance of future conditional Expected Exposure (EE) profiles, and discussed the evaluation of such profiles via Least Squares Monte Carlo (LSMC). Andrew McClelland, Director of Quantitative Research at Numerix, provided a quantitative introduction to KVA calculations for Counterparty Credit Risk (CCR) capital and CVA capital. On Wednesday, December 9 th featured speaker Dr. And perhaps most important – getting the right number is critical, as evidence suggests KVA can be a larger pricing adjustment than CVA and can therefore have a significant impact on overall trade profitability. Indeed, estimating a trade’s lifetime consumption of capital is a complex quantitative challenge, and the development of methodologies to meet this challenge is a relatively new area of work. KVA presents a much greater computational burden than CVA and FVA, as the calculation of capital requirements at any given time is more “expensive” than the calculation of exposures. Whereas Credit Valuation Adjustment (CVA) and Funding Valuation Adjustment (FVA) require simulation of future exposures and collateral shortfalls, KVA requires simulation of future capital requirements.

Capital Valuation Adjustment (KVA) is a recent addition to the family of XVAs, capturing the cost of tying up capital to support the risk of trades.

Kva formula