Podcast: UBS’s Gordon Lee on conditional expectations and XVAs
Top quant explains why XVA desks need a neighbour and a reverend
Conditional expectations have long been the bane of XVA desks. They are an integral part of virtually every derivatives product, from vanilla swaps to exotics such as Bermudan swaptions. But the standard way of calculating them – the least square Monte Carlo method – is notorious for its computational intensity.
In this episode of Quantcast, Gordon Lee, senior XVA and capital management quant at UBS, discusses an alternative estimation method he developed with Jörg Kienitz, Nikolai Nowaczyk and Nancy Qingxin Geng. This approach combines a number of existing techniques: kernel density estimation; Gaussian process regression; and the control variate.
Lee describes the method with analogies and nicknames: “Surely you have a nickname for your favourite mathematical technique, right?”
The kernel density estimation, which Lee calls the ‘neighbour’, provides an estimate for the variable under consideration based on neighbouring data points. The Gaussian process regression – a Bayesian technique, which Lee nicknames the ‘reverend’ – serves to stabilise the regression, making it smoother and less prone to errors. The control variate technique, or the ‘trader’, uses a related estimate – which, in the case of an option in the Black-Scholes world would be the delta of the option – to reduce variance and allow for quicker convergence.
“The estimation method can be retrofitted into existing systems and gives good results,” says Lee, and can produce an accurate estimate with significantly fewer simulated paths, thereby saving time.
Lee also shares his views on signatures and as well as quant finance education and the future of XVA desks.
Index
00:00 Dynamically controlled kernel estimation
05:30 Combining the three techniques
18:20 How does it perform?
21:55 Applications of signatures
24:36 Quant finance master’s and the demand for new skills
31:11 How XVA desks have changed in the recent past
To hear the full interview, listen in the player above, or download. Future podcasts in our Quantcast series will be uploaded to Risk.net. You can also visit the main page here to access all tracks, or go to the iTunes store or Google Podcasts to listen and subscribe.
Now also available on Spotify.
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe
You are currently unable to print this content. Please contact info@risk.net to find out more.
You are currently unable to copy this content. Please contact info@risk.net to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@risk.net
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@risk.net
More on Cutting Edge
Podcast: Abi-Jaber and Li on a ‘sticky’ volatility problem
The pair discuss their model to jointly capture Vix, SPX and SSR
MI9: runtime governance for agentic AI systems
A real-time telemetry system for banks to control and authorise for agentic AI actions
Markets perceive the future in very distorted ways
Discounting paradigms should adapt to be more realistic, says Jean-Philippe Bouchaud
Capturing smile dynamics with the quintic volatility model: SPX, SSR and VIX
A new model captures the term structure of SPX & VIX implied volatilities, ATM skew, and the skew-stickiness ratio
FX market-making with internal liquidity
A model to optimally manage clients’ orders to internal liquidity pools is presented
Valuing private equity analytically
A framework that includes liquidity and market completeness for PE valuation
Podcast: Gordon Lee on how junior quants can go from newbie to MVP
Prioritising tasks and setting boundaries are key to career progression, says BNY’s head quant
Convex volatility interpolation
The modelling of implied volatility surfaces is reframed as an optimisation problem