February 9, 2026Markets
Alphabet sold $20 billion in senior unsecured notes, following Oracle's $25 billion sale, as AI hyperscalers rapidly increase borrowing for data center expansion. Barclays projects U.S. corporate bond issuance will reach $2.46 trillion in 2026, with Morgan Stanley estimating $400 billion in hyperscaler issuance alone.
"When the five major hyperscalers issued $121 billion last year and Morgan Stanley projects $400 billion this year, that volume cannot be efficiently intermediated through traditional voice markets. This is one of the biggest capex spends of our lifetimes, and the credit market infrastructure needs to match the scale-anonymous, electronic protocols are how institutional investors will navigate a $2.4 trillion issuance year."
— Steve Lynner, CEO, MatrixCross
February 2, 2026Markets
Global publicly syndicated bond issuance hit $1 trillion in record time as borrowers seize soaring demand to lock in relatively cheap costs, with Oracle's $25 billion deal-the year's biggest corporate bond sale-pushing past the milestone.
"When a trillion dollars of bonds price in record time and single issuers bring $25 billion in a day, the infrastructure question is no longer theoretical. Traditional voice-brokered workflows cannot absorb this velocity-scalable, anonymous electronic protocols are the only way to ensure institutional investors get best execution in a market moving this fast."
— Steve Lynner, CEO, MatrixCross
January 15, 2026Markets
BIS research shows AI-related investment now represents ~5% of U.S. GDP, with data center and IT capex at ~1% of GDP. The buildout is increasingly funded through external debt rather than internal cash flows, with AI exposure comprising ~8% of outstanding private credit.
"The shift from equity to debt financing in the AI buildout creates exactly the conditions where transparent, efficient credit markets become critical. When private credit plays a larger role and valuation opacity increases, the need for clear pricing and risk monitoring becomes paramount-this is where structured electronic trading protocols deliver their greatest value."
— Steve Lynner, CEO, MatrixCross
October 3, 2025Markets
The Federal Reserve finds that unconditional indicative spreads in off-the-run Treasuries carry higher transaction costs than conditional spreads, concluding that conditional pricing better reflects true market costs.
"Any fixed income instrument that trades in relation to another is, by definition, conditional. The evidence shows unconditional pricing is almost always inferior. By conditioning off-the-run securities to on-the-run benchmarks, our protocol delivers more accurate pricing and reduces costs for users."
— Steve Lynner, CEO, MatrixCross
September 24, 2025Markets
Some corporations are borrowing at lower interest rates than governments, resulting in “negative spreads,” as credit spreads compress to historically tight levels.
"This reinforces our view that credit markets are fundamentally driven by related benchmarks, and that these instruments should consistently trade at a spread relative to their benchmark."
— Steve Lynner, CEO, MatrixCross
September 18, 2025Markets
Investment-grade issuers rushed to market with nearly $15 billion of new bonds following the Fed's rate cut, with credit spreads nearing multi-decade lows.
"This surge in issuance activity demonstrates exactly why institutional investors need our anonymous multilateral protocol-when $15 billion hits the market in a single day, traditional phone-based trading simply cannot handle the scale or speed required for optimal execution."
— Steve Lynner, CEO, MatrixCross
September 10, 2025Regulation
Goldman Sachs urged regulators to adjust trade-reporting rules for very large trades, proposing delays to improve risk management.
"Goldman’s proposal highlights the exact problem we solve-large institutional trades need protection from information leakage, which is why our protocol ensures complete anonymity without compromising regulatory transparency."
— Steve Lynner, CEO, MatrixCross
August 6, 2025Technology
The U.S. move to T+1 trade settlement has improved corporate bond market conditions, with trading costs falling 12% and margin requirements dropping 29%, freeing up capital for dealers to deploy elsewhere.
"T+1 settlement proves that structural improvements can dramatically reduce costs and free up capital-our multilateral protocol delivers similar efficiency gains specifically for the large-block trades that still rely on outdated methods."
— Steve Lynner, CEO, MatrixCross
July 31, 2025Technology
Automated trading algorithms proved resilient during market volatility, with 80% of high-grade corporate bond quotes on MarketAxess generated by algos. Electronic trading reached 52% of all U.S. investment-grade volume.
"While algorithms now dominate price discovery, the final frontier remains large institutional blocks where human relationships and phone calls still prevail-this is precisely where our anonymous electronic protocol creates the most value."
— Steve Lynner, CEO, MatrixCross
January 23, 2025Markets
Credit trading volumes hit fresh records with $46 billion in U.S. corporate bonds trading daily in 2024 (up 21% from 2023), surging to $56 billion per day in early 2025 thanks to rapid electronification.
"These record volumes validate our thesis that electronic trading is the future, but the real opportunity lies in the $20M+ institutional trades that still happen over the phone and leak information to the market."
— Steve Lynner, CEO, MatrixCross