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: 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
Digital employees have BNY talking a new language
Julie Gerdeman, head of BNY’s data and analytics team, explains how the bank’s new operating model allows for quicker AI experimentation and development.
Can mastering data solve AI’s cognitive dissonance?
The IMD Wrap: Bank execs are still bullish on AI, but recent studies suggest it’s not the panacea they’re making it out to be. Can the two views be rectified?
Everything you need to know about market data in overnight equities trading
As overnight trading continues to capture attention, a growing number of data providers are taking in market data from alternative trading systems.
AI strategies could be pulling money into the data office
Benchmarking: As firms formalize AI strategies, some data offices are gaining attention and budget.
Identity resolution is key to future of tokenization
Firms should think not only about tokenization’s potential but also the underlying infrastructure and identity resolution, writes Cusip Global Services’ Matthew Bastian in this guest column.
Vendors are winning the AI buy-vs-build debate
Benchmarking: Most firms say proprietary LLM tools make up less than half of their AI capabilities as they revaluate earlier bets on building in-house.
Private markets boom exposes data weak points
As allocations to private market assets grow and are increasingly managed together with public market assets, firms need systems that enable different data types to coexist, says GoldenSource’s James Corrigan.
Banks hate data lineage, but regulators keep demanding it
Benchmarking: As firms automate regulatory reporting, a key BCBS 239 requirement is falling behind, raising questions about how much lineage banks really need.