SAR is a software and data analytics company that implements data science to strengthen financial controllership and public company underwriting of companies that provide Directors and Officers liability insurance.  

SAR actively tracks, monitors, and analyzes federal "stock drop" securities class actions that allege violations of the federal securities laws under Section 10(b) and 20(a) of the Securities Exchange Act of 1934 ("Exchange Act") and Rule 10b-5 promulgated thereunder by the SEC.  No party engages or retains SAR to conduct event study analyses to estimate potential severity on Exchange Act claims and that demonstrates the independence, rigor, and mission-driven mentality of our Company. 

The SAR Claims database delivers independent estimates of potential severity on filed Exchange Act claims to support insurance and reinsurance companies with robust loss reserve analytics and loss mitigation claims resolution 

The SAR Underwriting Tool quantifies securities class action risk for U.S. and non-U.S. issuers by identifying adverse corporate events that expose Directors and Officers to potential liability for alleged violations of the Exchange Act. 

SAR is raising the standards through data science.  Future-proof complex claims severity estimation and public company underwriting with robust event study analysis to quantify SCA risk in a high frequency securities class action environment.  
The econometric analyses applied to evaluate Exchange Act claims and quantify securities class action risk from adverse corporate events that expose Directors and Officers to Rule 10b-5 liability are based on the court-accepted event study methodology that abides by established case precedents in key circuits of the U.S. Federal Court system.  SAR does not apply any machine learning algorithms or artificial intelligence to perform the multivariate linear regressions that support the single-firm event study analyses.  SAR is committed to the value of human capital through data science.  SAR has no vested interest or economic benefit to providing anything but an objective and independent third-party risk assessment of potential liability for alleged fraud on the market.  

©  SAR, LLC. 2020

Bethesda, MD