Performance measurement and reporting for guaranteed income financial products and services

Abstract

A method and apparatus for acquiring and parsing data into categories responsive to receipt of at least one prospectus of a variable or non-fixed annuity contract for storage in an annuity master database. Once annuity contract data is received in the annuity master database, the data is analyzed, and a recommended annuity contract value is forecast using one of trend-line projection and Monte Carlo simulation. A result is a filtering and listing of at least one recommended annuity or, further, a ranking of annuity contracts available from various carriers recommended for an annuity contract purchaser responsive to an annuity contract purchaser profile.

What we claim is: 
     
         1 . A method of parsing diverse documents including a prospectus for a variable or non-fixed annuity published by a carrier comprising:
 receiving the diverse documents and applying a natural language processor comprising an XBRL parser,   the XBRL parser categorizing like categories of annuity data for storage in an annuity master database of a cloud-based server, the annuity master database accessible to one of a carrier, a regulator and a self-side analyst;   analyzing and forecasting contract values and benefit base roll-up projections utilizing one of a trend-line projection and a Monte Carlo simulation module; and   filtering the contract values and identifying at least one recommended annuity contract available from a carrier responsive to annuity contract purchaser profile data.   
     
     
         2 . A method as recited in  claim 1  further comprising:
 calculating a guaranteed income benefit for one of a variable and a non-fixed annuity at a predetermined confidence level. 
 
     
     
         3 . A method as recited in  claim 1  further comprising:
 determining an expected rate of return on investment in one of a variable and a non-fixed annuity at a predetermined confidence level. 
 
     
     
         4 . A method as recited in  claim 1  further comprising:
 forecasting an annuity contract value including one of fees and step-up terms using one of a trend-line projection and a Monte Carlo simulation. 
 
     
     
         5 . A method as recited in  claim 1  further comprising:
 ranking at least two of one of a variable and a non-fixed annuity according to guaranteed income benefit at a predetermined confidence level. 
 
     
     
         6 . A method as recited in  claim 1  further comprising:
 receiving input contract purchaser profile data comprising at least three of risk preferences, estate planning, retirement data, assets and health data.
 filtering the contract values and identifying at least one recommended annuity contract available from a carrier responsive to annuity contract purchaser profile data.