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
Nasdaq to market new options strike listing tech to other exchanges
The exchange operator is experimenting with emerging technologies to determine which options strike prices belong in a crowded market, with hopes to sell the tech to its peers.
Waters Wavelength Podcast: Bloomberg’s Tony McManus
Tony McManus, global head of enterprise data division at Bloomberg, joins the podcast to talk about the importance of data in the context of AI and GenAI.
Putting the ‘A’ in CDO: The rise of the chief data and analytics officer
As data and analytics become more intertwined, banks and vendors are creating a new role—the chief data and analytics officer—to help them take advantage of the opportunities it presents. It may sound easy, but rethinking data can be a gargantuan task.
The IMD Wrap: Talk about ‘live’ data, NAFIS 2024 is here
This year’s North American Financial Information Summit takes place this week, with an expanded agenda. Max highlights some of the must-attend sessions and new topics. But first, a history lesson...
Waters Wavelength Podcast: S&P’s CTO on AI, data, and the future of datacenters
Frank Tarsillo, CTO at S&P Global Market Intelligence, joins the podcast to discuss the firm’s approach to AI, the importance of data, and what might be in store for datacenters in the coming years.
Breaking out of the cells: banks’ long goodbye to spreadsheets
Dealers are cutting back on their use of Excel amid tighter regulation and risk concerns.
BMO’s cloud migration strategy eases AI adoption
The Canadian bank is embracing a more digital future as its cloud strategy makes gains and it looks to both traditional machine learning and generative AI for further augmentation.
Waters Wrap: GenAI and rising tides
As banks, asset managers, and vendors ratchet up generative AI experiments and rollouts, Anthony explains why collaboration between business and tech teams is crucial.
Most read
- Waters Wavelength Podcast: Bloomberg’s Tony McManus
- IMD & IRD Awards 2024: All the winners
- Waters Wavelength Podcast: S&P’s CTO on AI, data, and the future of datacenters