Max Bowie: Is Bloomberg Really to Blame?
Putting all your eggs in one basket is a high-risk strategy as Bloomberg Professional traders found out on April 17.
Not since a double-whammy of outages for Reuters in 2006 has a single vendor experienced sufficient service disruption to singlehandedly halt markets. But on Friday, April 17, Bloomberg did just that when an uncharacteristic terminal outage left thousands of screens blank and forced many London traders to reluctantly head to the pub early.
The incident was caused by failures in both software and hardware components of the vendor’s network, as well as failures to its back-up processes, causing thousands of the vendor’s Bloomberg Professional terminals to disconnect from its network. For those failures, Bloomberg should—and did—shoulder the blame. However, Bloomberg doesn’t deserve to take the blame for traders being unable to work: That should fall squarely on those who thought they didn’t need a back-up of their own.
Market Stagnation
Of course, you’d expect other vendors to be crowing about how the mighty have fallen. However, the market stagnation during the outage suggests several potential scenarios, none of which reflect favorably on other vendors or their clients. So why did all the activity typically conducted over Bloomberg not simply shift to other mechanisms? Possibly because other vendors don’t have the same level of market penetration for their terminal business, especially in the front office. Or possibly because when push comes to shove, traders simply don’t feel confident turning to the other tools on their desktops—or, given the extent to which they use and rely on Bloomberg, perhaps aren’t familiar enough with these tools to use them with confidence. Or possibly, these users simply don’t have alternatives to turn to when such incidents occur.
Bloomberg’s back-up processes to prevent such network outages may have suffered problems of their own, but at least the vendor had them. It’s possible that some firms adopted a Bloomberg-or-bust approach, especially considering (a) the cost of Bloomberg terminals, and (b) the constraints still facing many firms’ data budgets. And if that’s the case, those firms have no one to blame but themselves.
“One or two systems are so dominant that when they stop trading, they introduce systematic risk into the market. The focus on one or two systems is risky for an entire market. When one vendor is so big, it’s very risky to put all your eggs in one or two baskets,” says Morgan Downey, himself a former head of commodities at Bloomberg and chief executive of Money.Net, a low-cost data terminal hoping to disrupt those bigger players.
Perhaps this incident will prompt firms to look at their assets for data, order routing and chat, and treat them like any other investment—with the idea of creating a diversified portfolio.
Dominant Position
So how did Bloomberg attain this dominant and “systematic” position? Not by acquisition, but through hard work, comprehensive content and industry-benchmark customer service. Its acquisitions have been few and far between, and have been opportunistic add-ons rather than competitive land-grabs. In short, Bloomberg won users’ over-reliance fair and square, with the full complicity of all those clients left twiddling their thumbs.
Perhaps this incident will prompt firms to look at their assets for data, order routing and chat, and treat them like any other investment—with the idea of creating a diversified portfolio rather than putting all one’s assets into one stock. And while it may still be hard to persuade a Bloomberg user to switch to a Money.Net terminal, there are other initiatives underway—such as the bank consortium-backed Symphony messaging platform—designed to break the vendor’s stronghold over critical data functions.
Blame Game
So before you blame Bloomberg for the keystone position that it holds in today’s financial markets, remember that you helped put it there, and only you can change that position by putting your money where your data is and giving other vendors a chance—not only will it increase competition and ultimately result in better deals for you, but you never know when you might need them.
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 Data Management
Market data costs defy cyclicality
Trading firms continue to grapple with escalating market data costs. Can innovative solutions and strategic approaches bring relief?
LSEG partners with Citi, DTCC goes on-chain, AI on the brain, and more
The Waters Cooler: Trading Technologies buys OpenGamma, CT Plan updates, and the beginning of benchmarking in this week’s news roundup.
AI & data enablement: A looming reality or pipe dream?
Waters Wrap: The promise of AI and agents is massive, and real-world success stories are trickling out. But Anthony notes that firms still need to be hyper-focused on getting the data foundation correct before adding layers.
Data managers worry lack of funding, staffing will hinder AI ambitions
Nearly two-thirds of respondents to WatersTechnology’s data benchmark survey rated the pressure they’re receiving from senior executives and the board as very high. But is the money flowing for talent and data management?
Data standardization is the ‘trust accelerator’ for broader AI adoption
In this guest column, data product managers at Fitch Solutions explain AI’s impact on credit and investment risk management.
As AI pressures mount, banks split on how to handle staffing
Benchmarking: Over the next 12 months, almost a third of G-Sib respondents said they plan to decrease headcount in their data function.
Everyone wants to tokenize the assets. What about the data?
The IMD Wrap: With exchanges moving market data on-chain, Wei-Shen believes there’s a need to standardize licensing agreements.
FIX Trading Community recommends data practices for European CTs
The industry association has published practices and workflows using FIX messaging standards for the upcoming EU consolidated tapes.