Real-Time Risk Management is a Must
Get Real
It seems that every day, the industry is becoming more obsessed with speed. And for good reason: The faster we can conduct various business processes—especially those pertaining to trading and risk management—the better, right?
The speed-in-trading issue has been adequately covered in the pages of Waters over the past few months, and this is set to continue, as latency of incoming feeds and outgoing execution instructions are incrementally eroded.
But real-time risk management is another issue altogether. We’ve covered it on a number of occasions over the years—Clive Davidson’s feature on page 23, which explores how banks address the issue of calculating risk exposures in as close to real time as possible, is our most recent iteration—even though my residual mood at the back end of each of these investigations could best be described as one of frustration. You see, I like happy endings and unambiguous resolutions. I like being able to draw a line under a subject, knowing that for the time being at least, we’ve got to the bottom of it so that I can move onto the next thing. But I’ve learned over the years that real-time risk management is not one of those issues you can neatly pigeon hole into a clearly defined and universally understood space in the financial services industry. Part of the problem is that the ‘real-time’ label, when attached to that of risk management, becomes something of a misnomer in the sense that extrapolating meaningful risk measures across business units, asset classes and counterparties in real time is simply not feasible. Not by a long shot.
What exacerbates this feeling of frustration is that there are large numbers of technology vendors serving both the buy and sell side who claim to be able to provide the underlying architecture that supports such initiatives. But when you come to challenge such claims, you find that what they’re talking about is real-time compliance or real-time market surveillance, which are significantly removed from real-time risk management. Of course, they would argue that automatic monitoring of a trader’s positions is, by association, a risk management function, given that the technology is designed to intervene as a way of mitigating the risk of traders breaching their limits. But this is a far cry from running tens of thousands of scenario analyses on a real-time basis, which, when it comes to high-frequency trading shops is simply too complex to even start to comprehend. So, for now at least, there appears to be no end in sight to my source of frustration.
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 Trading Tech
Model risk in the age of generative AI
Banks are racing to understand the risks posed by a new breed of multi-purpose bots.
How banks are utilizing new AI forms in their KYC process
Execs from JP Morgan, ING, and Standard Chartered explain how they are looking to use agentic AI to streamline KYC workflows.
TNS integrates Radianz, Exegy reduces latency, BondXN allies with BlackRock, and more
A recap of this week’s major tech and data news in the capital markets.
Re-engineering reconciliations: User-initiated AI cuts recs from days to minutes
Reconciliations have long been tied to batch scheduling. Prasanna Anandan explains how one bank broke down bottlenecks by embedding an AI-driven, user-initiated interface.
SFC lifts lid on new Hong Kong FIC trading platform
Regulator sheds light on venue that could rival Bloomberg, Tradeweb in CNH market
WatersTechnology latest edition
Check out our latest edition, plus more than 14 years of our best content.
24X National Exchange faces uphill battle in exemption fight
The Waters Wrap: 24X wants exemption from the requirement that the SIP be operational during overnight hours for its overnight session to proceed. Nyela explains why that’s asking a lot.
CME’s Duffy addresses outages as exchanges push toward 24/7 trading
As senior exchange execs fielded questions about overnight trading in equities, the theme of resiliency lingered.