Data Platform Design Based on the Corporate Disclosure Regime of the U.S. Federal Securities Laws

• Adverse Corporate Events identified according to the applied corporate disclosure mechanism

• Empirical analysis based on the court-approved event study methodology to effectively quantify securities litigation risk based on observed Adverse Corporate Events 

• Industry and court-accepted statistical and quantitative methodologies for more accurate securities litigation risk assessment

 
Robust Analytical Transparency of Loss Severity on Observed Adverse Corporate Events

• Full visibility of stock price reaction on flagged Adverse Corporate Events for enhanced public company underwriting and U.S. equity research 

• Prospective market capitalization loss estimation based on empirical stock price performance of Adverse Corporate Events for any U.S. equity listed on the NYSE of NASDAQ  

• Substantive securities litigation risk analytics to estimate potential loss severity on observed Adverse Corporate Events

 

Precise Adverse Corporate Event Information without Dispositive Machine Learning or AI bias

• Drill-down and deep-dive into Adverse Corporate Event data to analyze trends of investor perception to assess securities litigation risk based on event study analysis 

• Comprehensive on-going statistical modeling to screen and alert for different types of Adverse Corporate Events that may trigger securities litigation 

• User-defined periodicity to analyze company-specific loss severity trends that impact the risk profile of U.S. equities trading on the NYSE or NASDAQ

 
Multimodal Result Outputs Delivered Securely via the SAR Platform

• Visual Risk Dashboards for any U.S. equity on the NYSE or NASDAQ 

• 68 Data Components available for download directly in Microsoft Excel for internal actuarial or equity modeling to assess securities litigation risk

• Bespoke API data delivery for stable raw data to scale actuarial or equity risk modeling without ML or AI bias ​​​​​