Waters Wrap: Can interop connect the bond market better than consortiums? (Yes)

Anthony says that if trading firms want to take advantage of new datasets in fixed income and advancements in machine learning, they’re going to first have to embrace interoperability.

I’m technically on my last day of vacation—though it was spent with my family, so I could use another vacation. As a result, I’ll keep this short and sweet, but hopefully interesting. Let’s see how I do.

Banging the interop drum once more

We know that fixed income is fragmented and complex from both workflow and market structure perspectives, especially when compared to equities and foreign exchange. This has led to the launch of numerous trading platforms and venues, as well as data offerings

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Systematic tools gain favor in fixed income

Automation is enabling systematic strategies in fixed income that were previously reserved for equities trading. The tech gap between the two may be closing, but differences remain.

Why recent failures are a catalyst for DLT’s success

Deutsche Bank’s Mathew Kathayanat and Jie Yi Lee argue that DLT's high-profile failures don't mean the technology is dead. Now that the hype has died down, the path is cleared for more measured decisions about DLT’s applications.

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