The haves and the ‘have bots’: can AI give vol forecasters an edge?
Quants at Acadian, Man Group, Northern Trust and PGIM are investigating the use of machine learning and natural language processing to improve volatility forecasts.
Nearly three months after its launch, ChatGPT is still generating a flurry of headlines. The artificial intelligence chatbot—whose answers to complex questions are almost indistinguishable from those offered by humans—is prompting a range of professionals to wonder, rightly or wrongly, if the underlying technology will make some of their work redundant. And among those who might be considering what ChatGPT can do for them are quants—particularly in the area of volatility forecasting.
Man Group
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: https://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.
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@waterstechnology.com
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@waterstechnology.com
More on Emerging Technologies
Academic warns of systemic risk from AI-powered trading
Strategies generated by LLMs exhibit “very strange, correlated trading behavior”, says Lopez Lira.
Anthropic partners with S&P, TT to build AI hub, Talos acquires Coin Metrics, and more
The Waters Cooler: Bloomberg adopts agentic AI, DSB report homes in on fairer data costs, and asset managers are coming for your utilities in this week’s news roundup.
The Model Context Protocol brings agents to life—along with risk
Waters Wrap: From chat to infrastructure modernization, Anthropic’s MCP offers a ‘bridge’ to agentic AI, but its early days may prove disillusioning.
BofA ramps up AI deployment, patents
The bank has 1,400 patents in AI and machine learning, either granted or pending, alongside a growing portfolio of 250 models.
BNY CEO updates on ‘platform’ operating model, AI rollout
In its Q2 earnings call, the bank outlined its progress on rolling out its new operating model and ‘Eliza’ internal AI assistant.
NZX outlines plans to bolster fast-growing dark pool
Since launching one year ago, NZX’s dark book has 5.5% of the exchange’s total turnover, and price improvement per trade on average is 11 basis points, but the exchange has more in store.
Waters Wavelength Ep. 325: Octaura’s Brian Bejile
The CEO joins the podcast to talk about the vendor’s modernization efforts in credit and CLOs.
Agentic AI comes to Bloomberg Terminal via Anthropic protocol
The data giant’s ubiquitous terminal has been slowly opening up for years, but its latest enhancement represents a forward leap in what CTO Shawn Edwards calls, “the way we should talk to the world.”
