IHS Markit and Yieldbroker collaborate to enhance AUD/NZD TCA
IHS Markit, a specialist in information, analytics and solutions, has enhanced its fixed income analytics in its Trade Cost Analysis (TCA) service in collaboration with Yieldbroker, a licensed electronic trading platform for Australian and New Zealand debt securities and derivatives.
The alliance unites IHS Markit’s multi asset TCA tool, independent bond pricing and liquidity data with Yieldbroker’s six trillion of annual AUD and NZD market transaction volume. Together, these services offer customers sophisticated trade execution analytics and a broad spectrum of data to deliver more transparency in fixed income markets.
“This collaboration is a natural extension of our global, multi asset TCA offering to on and off-shore AUD and NZD fixed income market players,” says Chris Pashley, managing director at IHS Markit. “We are committed to continuously enhancing our comprehensive suite of best execution solutions to help customers optimise their trading activity, gain new perspective on fixed income markets and reduce the cost and operational demands of compliance and regulatory reporting.”
“Working with IHS Markit creates a compelling solution for institutions active in AUD and NZD fixed income markets,” saidsaysAnthony Robson, CEO of Yieldbroker. “This partnership supports Yieldbroker’s strategic intent to deliver our clients end-to-end trading workflow solutions. With IHS Markit as a partner, we can further improve secondary market transparency, analytics, and insights for the AUD and NZD fixed income markets.”
Evolving market practices and regulations such as Australia’s RG 97, Europe’s MiFID II and PRIIPS have led financial institutions to become more programmatic in their oversight of trade execution quality.
Through the collaboration, common customers can receive:
• Point-in-time execution price slippage benchmarking
• Security level bid-offer spread data
• Security level Liquidity Scoring
• RG 97 reporting data
• Broker-dealer performance analytics
• Request-for-quote (RFQ) analytics