Fixed Income special report

Click here to download the PDF
Fixing Fixed Income
With the world still recovering from a drawn-out financial crisis, it's easy to forget that the initial catalyst for this economic collapse was the credit crunch, and that the inability to accurately value and price fixed income assets was a major contributor to the resulting chaos, which also led to the shattering of fragile sovereign debt issues and downgrades of the credit ratings of countries previously thought untouchable.
Part of the solution was to press for improved transparency in the fixed income and derivatives markets, by proposing to move swathes of previously over-the-counter instruments onto exchanges-or at least, centrally-cleared, exchange-like venues-to generate more accurate and transparent pricing and eliminate counterparty risk. Not only does this help investors better price assess the risk of potentially riskier instruments, but it also helps them determine which are actually risky-there's always talk of a flight to quality when markets look fragile, but first you have to figure out which assets are quality and which aren't.
Another component of the solution-in part a result of the above move to exchange-like venues-is the availability of more data. As the "electronification" of fixed income markets continues, it naturally begets a more structured and safer trading environment, encouraging more liquidity, more trading, and more data as a result. The upshot is that if you have more data that is more timely and delivered at a higher frequency, the more accurate your pricing will be as a result.
However, this increased liquidity and availability of data has an unintended consequence, making the fixed income markets more attractive to algorithmic and high-frequency traders seeking alternative sources of alpha from their algorithms outside the equities markets. But are the still-convalescing credit markets ready for the inevitable disruption of HFTs, or is fixed income still too fragile for high-frequency? And should algos with the power to create Flash Crashes even be allowed to trade the debt issued by the government that regulates them. Either way, any HFT involvement would also open the fixed income markets to the same regulatory scrutiny that HFT has attracted in other asset classes. But considering credit's role in precipitating the financial crisis, perhaps even more regulatory scrutiny of the fixed income markets isn't a bad thing after all.
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 Data Management
Growing pains: Why good data and fortitude are crucial for banks’ tech projects
The IMD Wrap: Max examines recent WatersTechnology deep dives into long-term technology projects at several firms and the role data plays in those efforts.
Investing in the invisible, ING plots a tech renaissance
Voice of the CTO: Less than a year in the job, Daniele Tonella delves into ING’s global data platform, gives his thoughts on the future of Agile development, and talks about the importance of “invisible controls” for tech development.
Optiver relies on BMLL market data for quant strategy
The market-maker has built its trading business on top of BMLL’s Level 3 data. But the collaboration is young, and the pair have grand plans to make options the next quant frontier.
Bloomberg expands IBVAL; the SIPs and 24/5 trading; Broadridge’s agentic play, and more
The Waters Cooler: State Street embraces interop, Citi’s CIO outlines the XiNG risk platform, power companies explore alternative nuclear supply options to datacenters, and more.
As costs rise, buy-side CIOs urge caution on AI
Conference attendees encouraged asset managers to tread carefully when looking to deploy AI-driven solutions, citing high cost pressures.
XiNG: Inside Citi’s all-encompassing risk platform
Voice of the CTO: Citi’s chief information officer, Jon Lofthouse, explains how and why the bank has extended its enterprise-wide risk platform so that every trade in any asset class goes through it.
Demand for private markets data turns users into providers
Buy-side firms seeking standardized, user-friendly datasets are turning toward a new section of the alternatives market to get their fix—each other.
LSEG-AWS extend partnership, Deutsche Bank’s AI plans, GenAI (and regular AI) concerns, and more
The Waters Cooler: Nasdaq and MTFs bicker about data fees, Craig Donohue to take the reins at Cboe, and Clearwater closes its Beacon deal, in this week’s news roundup.