Investors seeking to get their hands on some subprime vintage debt will get their chance on Tuesday, when $366.14 million in non-agency pre-bust bonds are scheduled to trade.
The scheduled sale comes on the heels of a recent uptick in subprime debt trading.
In July, two separate bond deals from BlackRock jumpstarted a market that had been slumbering since January, when the Dutch State Treasury Agency liquidated the last $4.3 billion residential mortgage-backed securitization remaining from the ING US portfolio.
The January 16 sale of the ING portfolio was the largest single day of non-agency RMBS selling activity prior to BlackRock sale of $3.7 billion in debt on July 15, according to Interactive Data, which monitors secondary market bond trading.
The following week, Credit Suisse won two separate bids for a combined $4.4 billion pool of legacy RMBS, also sold by BlackRock.
And at the end of July, an undisclosed seller brought $640 million in non-agency subprime debt to the market.
On Tuesday, $366.14 million more in subprime debt will hit the market. According to bond analytics firm, Interactive Data, 75% ($272 million) of the bonds are of 2005 vintage. The remaining 25% are made up almost entirely of 2006 vintage bonds, which account for $91 million of the offering. The remaining 1% is fro 2007.
Of note in the breakdown of the bond pool are some notorious names associated with the subprime lending boom, including: Ameriquest Mortgage, Countrywide Financial, Bear Stearns, Goldman Sachs, JPMorgan, and Citigroup.
Ameriquest and Countrywide were the two largest issuers of subprime residential mortgage-backed securitizations in 2005, with a total of more than $92 billion issued.
Ameriquest represented 10.7% of the subprime market that year, which it issues 55 RMBSs for a total of $54.24 billion. Countrywide’s market share was 7.5% in 2005, when it issued 44 RMBSs for $38.1 billion.
There are 52 total line items in the bid pool.
Click the image below to see a full breakdown of the offering’s line items, courtesy of Interactive Data.