A few days ago, news broke that MBIA was allowed to use statistical sampling in its ongoing Bank of America fraud lawsuit. This happened despite the Countrywide acquiror’s loud protests. And now, courtesy of today’s brand new lawsuit against BofA (and Agent Orange himself) filed by Allstate, in which the insurer “seeks unspecified damages, alleges fraud, negligent misrepresentation and violation of U.S. securities laws” we know just why Bank of America was so very against allowing sampling to be used by plaintiffs. According to the full report (pdf attached below), Allstate has determined that Bank of America misrepresented virtually everything in its prospectuses: from the percentage of owner-occupied properties reped in prospectuses (about a 10% differential), to the LTV thresholds on represented loans (both at the 90% and 100% threshold), while inbetween finding willful and malicious intent to defraud and deceive. We are confident that none of this, however, will result in a prison sentence for Mozillo, as laws in America are meant to be broken by anyone who can demonstrate an LTV more than 100,000% or have more than $100MM in annual income (including that derived from golden parachutes).
From the just released prospectus, which opens a green light for everyone who believes that the banks or its predecessor was dishonest in representing any and all deal components, and wishes to do so using statistical sampling, which is now permitted:
Allstate’s sample sizes of Mortgage Loans are more than sufficient to provide statistically-significant data to demonstrate the degree of misrepresentation of the Mortgage Loan characteristics. Analyzing data for each Mortgage Loan in each Offering would have been cost-prohibitive and unnecessary. Statistical sampling is an accepted method of establishing reliable conclusions about broader data sets, and is routinely used by courts, government agencies, and private business. As the sample size increases, the reliability of its estimations of the total population increase as well. Experts in RMBS cases have found that a sample size of just 400 loans can provide statistically significant data, regardless the size of the actual loan pool, because it is unlikely that so large a sample would yield results vastly different from results fro the entire population
For the complete article, click here: