Opening Cross: Come On Down, the Price Is Right … Isn’t It?

Price data—and the price that data sources charge for it—is constantly under scrutiny. And so it should be in any healthy market, as competition between vendors keeps data quality high and costs, well, reasonable. At present, the scrutiny is being driven by cost pressures at financial firms to obtain more and better data while reducing their overall spend.
A key area is over-the-counter prices, where no reference exchange price exists, and firms traditionally depended on trade prices from brokers, evaluated prices derived from various inputs on a daily or intra-day basis (but not real time), or services that provide prices based on contributions from dealers or buy-side firms.
Of course, the latter only works effectively if no one tries to get away with bringing water to the wine party. The UK’s Financial Services Authority and US Commodity Futures Trading Commission’s investigation into Barclays’ misconduct over LIBOR rate pricing—which last week culminated in the resignations of the bank’s chief executive and chief operating officer—shows that benchmarks can be manipulated if participants put their own best interests ahead of the benchmark itself and the overall market.
Derivatives valuation and risk management software vendor Fincad spotted a divergence between LIBOR-based swap pricing and overnight index swap-based pricing that began around the start of the financial crisis and continued to result in LIBOR swaps being priced too low and not accounting for embedded risk, officials say, prompting the vendor to incorporate an OIS-based pricing curve into its Insight Solutions derivatives valuation and hedge accounting platform.
A report from SNL Financial last week suggested that while the fallout from the LIBOR scandal may widen—indeed, the regulators’ reports noted that Barclays enlisted other banks to fix rates, meaning that the price formation process of excluding outliers could be flawed if several contributors collude—but that LIBOR is expected to retain its benchmark status. After all, benchmark pricing curves are an important tool in OTC markets—such as the benchmark oil curves launched last week by Tullett Prebon Information to provide more transparency into the oil and related commodities derivatives markets—and will become increasingly so as participants in those asset classes that regulators cannot shoehorn onto exchange-like venues demand similar levels of transparency. In fact, once the authorities have pored over LIBOR, it should emerge more transparent and stronger than others that have not been subject to the same scrutiny.
Meanwhile, users may resent paying for data that is being called into question. Of course, consumers usually resent data fees—and in a time when budgets aren’t increasing in line with the costs of data services, that frustration is understandable, though the old argument that “market data fees are like charging to look at the price list,” no longer reflects the extent to which content has broadened, especially in the OTC markets. But there are signs that data sources are softening their stance. One thing that especially irks users are constraints on how data can be used, such as non-display fees or derived data fees—both of which are addressed in a new Global Data License Agreement covering data from all of NYSE Euronext’s marketplaces, which will be rolled out next year, and which is designed to simplify policies and reduce costs for end-users.
Separately, sources say Bloomberg is relaxing its stance on its New Commercial Model pricing after clients have spent a year haggling over fee increases introduced as a result of unbundling individual datasets from Data License. Now, sources say, Bloomberg is proposing less drastic increases, spread over longer timeframes, to make the increases less painful.
With less cost pressure, end users can turn their attention to growth—and to purchasing more data to support new business, ultimately increasing revenues for exchanges and vendors—rather than focusing on cuts. And ultimately, that will be good for all industry participants.
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.
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
DeepSeek success spurs banks to consider do-it-yourself AI
Chinese LLM resets price tag for in-house systems—and could also nudge banks towards open-source models.
Standard Chartered goes from spectator to player in digital asset game
The bank’s digital assets custody offering is underpinned by an open API and modular infrastructure, allowing it to potentially add a secondary back-end system provider.
Saugata Saha pilots S&P’s way through data interoperability, AI
Saha, who was named president of S&P Global Market Intelligence last year, details how the company is looking at enterprise data and the success of its early investments in AI.
Data partnerships, outsourced trading, developer wins, Studio Ghibli, and more
The Waters Cooler: CME and Google Cloud reach second base, Visible Alpha settles in at S&P, and another overnight trading venue is approved in this week’s news round-up.
Are we really moving on from GenAI already?
Waters Wrap: Agentic AI is becoming an increasingly hot topic, but Anthony says that shouldn’t come at the expense of generative AI.
Cloud infrastructure’s role in agentic AI
The financial services industry’s AI-driven future will require even greater reliance on cloud. A well-architected framework is key, write IBM’s Gautam Kumar and Raja Basu.
Waters Wavelength Ep. 310: SigTech’s Bin Ren
This week, SigTech’s CEO Bin Ren joins Eliot to discuss GenAI’s progress since ChatGPT’s emergence in 2022, agentic AI, and challenges with regulating AI.
Microsoft exec: ‘Generative AI is completely passé. This is the year of agentic AI’
Microsoft’s Symon Garfield said that AI advancements are prompting financial services firms to change their approach to integrating AI-powered solutions.