Citi quants’ AI model aims to hedge earnings surprises

Machine learning tool forecasts effect of shocks on implied volatility surfaces in minutes.

Facebook owner Meta scored its biggest ever one-day loss in market value on February 2 this year, shedding a fifth of its worth after a disappointing earnings announcement. Two days later, Amazon recorded the biggest one-day gain—a 13% rise—after a positive announcement.

Such moves are the stuff of nightmares for options traders, who must hedge against the price moves such surprises can cause.

Quants at Citi have built a model that can help.

“It gives us a better idea of how our book is going

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 copy this content. Please contact info@waterstechnology.com to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Waterstechnology? View our subscription options

The IMD Wrap: Will banks spend more on AI than on market data?

As spend on generative AI tools exceeds previous expectations, Max showcases one new tool harnessing AI to help risk and portfolio managers better understand data about their investments—while leaving them always in control of any resulting decisions.

You need to sign in to use this feature. If you don’t have a WatersTechnology account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here