Missed the live discussion? Catch up on how AI-driven predictive pricing is transforming Fixed Income trading.

SOLVE has successfully produced an artificial intelligence platform that accurately predicts the price of the next trade for municipal bonds. This paper provides a comprehensive overview of the model’s methodology, construction, benchmarking, back-testing, and potential applications for market participants.

Financial markets practitioners are no strangers to automation and machine learning. In the 2010s, high-frequency trading algorithms changed how the buy-side and sell-side approach the capital markets by reducing the latency between trades, increasing alpha for early adopters.

SOLVE has emerged as a game-changer in an industry as opaque as Private Credit, where access to accurate and timely data is critical.

Four fintech start-ups, using AI and data, are solving the pricing problem in the municipal bond market, upending entrenched incumbents along the way.

SOLVE SVP & Group Head, Municipal Markets, Gregg Bienstock, ESQ, explains what future enhancements can muni clients expect from SOLVE.

SOLVE SVP & Group Head, Municipal Markets, Gregg Bienstock, ESQ, explains what future enhancements can muni clients expect from SOLVE.

SOLVE SVP & Group Head, Municipal Markets, Gregg Bienstock, ESQ, explains how muni clients are benefitting from the enhancements to SOLVE Platform.

The Dow’s recent surge past 40,000 points was influenced by April’s Consumer Price Index (CPI) report.

In March, Eugene Grinberg, New York-based co-founder and chief executive of SOLVE, visited Australia around his firm’s sponsorship of the KangaNews Debt Capital Market Summit in March. Grinberg talked to KangaNews about how SOLVE’s offering is helping investors and dealers make sense of the deluge of pricing signals they receive and send to help promote price transparency even in some of global fixed income’s most illiquid and opaque asset classes.

SOLVE SVP & Group Head, Municipal Markets, Gregg Bienstock, ESQ, walks through the latest enhancements to the SOLVE Debt Analysis solution for the Municipal Bond market.

Eugene Grinberg, Co-Founder and CEO of SOLVE, speaks with Tom Keene and Paul Sweeney on Bloomberg Radio.

There's been a significant step up in trading technology sophistication within fixed income in recent years.

SOLVE SVP & Group Head, Municipal Markets, Gregg Bienstock why SOLVE Px (Beta) launched with the Municipal Bond asset class and how the market is reacting to it. Get to know how the solution came to be, and where the product is going in the near future.

Fund managers in this red-hot asset class are often valuing their loans more generously than others do. Regulators are starting to worry.

SOLVE SVP & Group Head, Municipal Markets, Gregg Bienstock explains the evolution of the revolutionary SOLVE Px (Beta) solution. Get to know how the solution came to be, and where the product is going in the near future.

Restructuring teams play a crucial role in the world of distressed assets—transforming potential risks into lucrative investments.

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.