JP Morgan Turns to Machine Learning for Options Hedging
These new models sidestep Black-Scholes and could slash hedging costs for some derivatives by up to 80%.
JP Morgan is using machine learning to automate the hedging of some equity options, a move that one quant calls a “game-changer”.
The bank started using machine learning to hedge a portion of its index vanilla flow book last year. Since then, it has been able to hedge its exposures faster, and quote higher volumes as a result.
“The real advantage is we are able to increase volumes quoted – because we are faster,” says Hans Buehler, global head of equities analytics, automation and
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@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@waterstechnology.com
More on Data Management
People Moves: NorQuant, Tradition, Duco, HKEx, SimCorp, Hazeltree, Xceptor, Broadridge, and more
A look at the past month’s people moves in the capital markets technology and data space.
Northern Trust building internal cloud data ‘marketplace’
Using a mix of in-house expertise and third-party technologies, the firm has constructed a cloud-based data mesh that gives internal staff access to proprietary datasets and analytical tools to deliver greater insights into client activity.
FactSet looks to build on portfolio commentary with AI
Its new solution will allow users to write attribution summaries more quickly and adds to its goal of further accelerating discoverability, automation, and innovation.
How Ally found the key to GenAI at the bottom of a teacup
Risk-and-tech chemistry—plus Microsoft’s flexibility—has seen the US lender leap from experiments to execution.
The IMD Wrap: Beginning of the end for data audits?
This week, there’s exciting news for data bean-counters in the form of a partnership between two vendors that could change the way we view and track data usage and audits.
Symphony boosts Cloud9 voice offerings with AI
The messaging and collaboration platform builds on Cloud9’s capabilities as it embraces the AI wave in what CEO Brad Levy calls “incremental” steps.
MSCI counts the cost of bank M&A, looks ahead to custom indexes, AI
Cancellations of overlapping contracts following a bank merger put a dent in MSCI’s earnings, but management remains upbeat about the potential of recent acquisitions and new technology developments.
Nasdaq reshuffles tech divisions post-Adenza
Adenza is now fully integrated into the exchange operator’s ecosystem, bringing opportunities for new business and a fresh perspective on how fintech fits into its strategy.
Most read
- Chris Edmonds takes the reins at ICE Fixed Income and Data Services
- DTCC urges affirmation focus ahead of T+1 move
- FactSet looks to build on portfolio commentary with AI