Vega decomposition for the LV model: an adjoint differentiation approach
Introducing an algorithm for computing vega sensitivities at all strikes and expiries
CLICK HERE TO DOWNLOAD THE PDF
Joachim Adrien et al present an efficient algorithm for computing the Vega KT in the local volatility model based on the calculation of the local Vega through Monte Carlo simulation and algorithmic differentiation. Unlike the partial differential equation algorithm presented by Guennoun, their algorithm is applicable for general multi-dimensional exotic options
In
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
Smile dynamics and rough volatility
The joint spot-smile dynamics is analysed through the skew stickiness ratio lens
The quadratic rough Heston+ model for short-dated options
Skew and curvature of 0DTE are captured with an extended Heston model
Podcast: Ariye Shater and Hariom Tatsat on AI explainability
Barclays quants discuss their method for monitoring AI with mechanistic interpretability
Beyond the black box: interpretability of LLMs in finance
Mechanistic interpretability identifies and locates modifications in computational mechanisms
Reconciling P- and Q-calibration with path-dependent volatility
A mixed approach designed to improve calibration robustness is presented
Podcast: Alexander Barzykin on modelling FX market-making
HSBC quant discusses adverse selection, price reading and internal liquidity management
Optimal quoting under adverse selection and price reading
A market-making model is introduced to account for significant real-world effects
Burnett and Piau on their comprehensive framework for XVAs
Barclays quants explain the bank’s approach to a long-standing problem