SAR is an independent software and data analytics company focused on implementing data science to improve data-driven decision-making and promote transparency. SAR actively tracks, monitors, and analyzes federal SCAs that 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 Securities and Exchange Commission.
SAR performs the court-approved event study methodology to continually analyze stock drop SCAs that allege violations of the Exchange Act and Rule 10b-5 without any party making a request to do so. No party asks or retains SAR to perform event study analyses on filed claims and that demonstrates the absolute independence of our work. Our team is an independent asset dedicated to serving Insurance Companies and Corporate Governance counsel that advise Board of Directors. SAR is not retained by Plaintiff or Defense securities class action counsel. Our data and analyses are used by specialized D&O claims professionals, public company underwriters, and experienced executive liability brokers that insure, protect, and advise Directors and Officers of publicly listed corporations. Upon request, SAR provides neutral data-driven support services to parties engaged in mediation to efficiently negotiate settlement and attain the release of claims for alleged violations of the Exchange Act.
SAR is raising the standards through data science. Future-proof public company complex claims and underwriting with robust event study analysis to quantify exposure and severity in today's high frequency event-driven SCA environment.
The econometric analyses applied to evaluate Exchange Act claims, quantify event-driven SCA exposure, and estimate a baseline estimate of potentially available aggregate damages are based on the proven and 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 is independently funded with no potential conflicts of interest. SAR is backed by independent investors that are unrelated to the securities class action arena. None of the investors in SAR are class action attorneys, insurance companies, private equity or venture capital firms that are seeking returns from a defined and timed exit strategy. 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.