The cookie is used to store the user consent for the cookies in the category "Analytics". This cookie is set by GDPR Cookie Consent plugin. Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category. These cookies ensure basic functionalities and security features of the website, anonymously.Īssociated with Amazon Web Services and created by Elastic Load Balancing, AWSELB cookie is used to manage sticky sessions across production servers. Necessary cookies are absolutely essential for the website to function properly. In certain cases, these analyses allowed us to measure the effect of factors unrelated to the alleged misrepresentations and provide reliable estimates of losses attributable solely to the alleged misrepresentations. Thus, there was no evidence that the alleged misrepresentations caused plaintiffs’ losses. In most cases, we established that there was no statistical evidence of a link between the alleged misrepresentations identified by plaintiffs and higher rates of default. Known in the academic literature as “hazard rate models,” these statistical models measure the incremental impact of multiple variables, such as loan characteristics, borrower characteristics, and home price changes, on the probability that a mortgage will default. In conjunction with academic experts, Cornerstone Research has applied sophisticated econometric models, known as hazard rate models, to determine the primary factors driving mortgage defaults, and the extent to which these factors relate to the allegedly inaccurate information. Plaintiffs claimed that, as a result, they incurred losses on their RMBS investments when mortgage borrowers defaulted. In these cases, allegations center on claims that RMBS issuers, sponsors, and underwriters failed to disclose or misrepresented information regarding the quality and characteristics of the securitized mortgages.
0 kommentar(er)
