So we're often asked -- SOLVE plays in many asset classes in fixed income, across credit, across securitized products, Munis -- so why start in Munis? I think there are a few answers and even though the goal is to ultimately unveil SOLVE PX across our range of asset classes, there are a few reasons why Munis are interesting.
SOLVE, provider of pre-trade quotes data across fixed income markets, has rolled out an artificial intelligence platform (AI) that is designed to predict the next trade level for fixed income securities.
SOLVE, a market data platform, has announced the beta version of SOLVE Px, an AI predictive dataset for the muni market.
How is SOLVE Px (Beta) different? The SOLVE AI gets retrained on a daily basis, it understands different market environments, different volatility environments, and it is specifically optimized to predict the next trend.
SOLVE PX (Beta) is dramatically different in its construction from some of the other common approaches of pricing bonds. It leverages AI (artificial intelligence) and machine learning algorithms to predict the next trade.
The 1.5 trillion-dollar private credit asset class has evolved beyond its niche status, becoming a prominent financing choice and is increasingly taking deals away from banks, junk bonds, and leverage loan markets. Business Development Corporations (BDCs) serve as a valuable proxy, offering transparency through their filings, revealing trends in this evolving market.
With the acceleration of technology in all markets, firms are trying to create solutions to process data — from issuer offering documents and continuing disclosures to trades and pricing and evaluations — and turn it into digestible, usable forms.
With an ever-changing landscape that now includes artificial intelligence, firms in the municipal market can be overwhelmed by the technology choices facing them, and their decisions will impact their bottom line. As new technology tools are developed will the current infrastructure become obsolete, requiring new investment?
Both regulators and the wide swath of municipal issuers, around 40,000 in total across these United States, will likely have to decide in the coming months and years how much or how little a role artificial intelligence will play in the development of standards mandated by the Federal Data Transparency Act.
Market data platform SOLVE has introduced a public finance workflow solution that shows historical scales for all muni deals, allowing for spread comparisons of where a deal priced in the past to where it might price in current market conditions.
