LTX, a subsidiary of Broadridge Financial Solutions Inc., announced the launch of RFQ+, a patent-pending enhanced RFQ protocol that combines pre-trade dealer selection analytics with liquidity aggregation capabilities. RFQ+ builds on existing RFQ workflows and facilitates larger trades by aggregating multiple dealer responses for their desired amounts. RFQ+ was developed based upon client feedback as a complement to LTX‘s unique RFX protocol. Through RFQ+ and the recent launch of BondGPT powered by OpenAI GPT-4, LTX is driving innovation with the next generation of AI-enabled workflows.
“Executing size in today’s credit markets is often challenging,” said Steve Chylinski, Head of FI Trading at Eagle Asset Management. “The approach that LTX is taking to build on the familiar RFQ protocol with RFQ+, the innovative aggregation capabilities and AI powered Dealer Selection Scores can potentially be a game changer for the buy-side and dealers to execute larger trades electronically.”
AiThority: How to Get Started with Prompt Engineering in Generative AI Projects
While electronically traded volumes have grown in the corporate bond market in recent years, electronic execution methods currently available do not accommodate larger trades sizes, which continue to be traded bilaterally. A 2023 survey from The DESK found that nearly half of mid-market credit asset managers say they never use e-trading for orders between $5–10M. 64% say they never use e-trading for orders over $10M. When asked about their most difficult execution objectives, almost 40% said size, and 23% said both size and price.
“RFQ+ combines AI-powered pre-trade Dealer Selection Scores with novel liquidity aggregation functionality to solve genuine client pain points and further electronify the segment of the market that is still being traded bilaterally,” said Jim Kwiatkowski, CEO of LTX. “This is the most recent example of LTX using emerging technologies to drive efficiency in the corporate bond market to the benefit of dealers and the buy side.”
Read: How AI NFTs Are Unlocking the Democratization of the Digital Economy
Dealer Selection Scores allow a buy-side client to optimize the number of dealers to whom the client sends each RFQ, based on dealers’ real-time and historical LTX Liquidity Cloud® inputs as well as pricing and platform behavior. Dealer Selection Scores also benefit dealers, allowing them to enhance direct networking to their clients.
After an RFQ+ is sent to an optimal group of dealers, multiple dealer responders can bid/offer for the size they each want. Patent-pending technology aggregates the bids/offers, allowing the buy-side client to fulfill the block in one session with multiple dealers.
Latest Insights: Why Only AI and Data Analytics Can Stop Financial Criminals
[To share your insights with us, please write to sghosh@martechseries.com]
Comments are closed.