Property Valuation Model and Visualization

A system for automated property value calculation, the system comprising:

• a storage device configured to store program instructions;
• and
• one or more processors operably connected to the storage device and configured to execute the program instructions to cause the system to:
• receive historic financial transaction data for a first number of real estate properties over a specified time frame;
• receive characteristic data regarding the first number of real estate properties, wherein the characteristic data comprises a number of defined categories;
• receive historic demographic data for a number of demographic parameters over the specified time frame, wherein the demographic data corresponds to defined geographic regions in which the first number of real estate properties are located;
• build a predictive valuation model based on the financial transaction data, the characteristic data, and the demographic data;
• calculate individual values for a second number of real estate properties with the predictive valuation model according to characteristics of the second number of real estate properties;
• aggregate the individual values of the second number of real estate properties;
• receive financial transaction data for the second number of real estate properties;
• and
• calculate a net asset value of the second number of real estate properties according to the aggregated valuations and financial transaction data.

A computer program product for automated property value calculation, the computer program product comprising:

• a non-volatile computer readable storage medium having program instructions stored thereon to perform the steps of:
• receiving historic financial transaction data for a first number of real estate properties over a specified time frame;
• receiving characteristic data regarding the first number of real estate properties, wherein the characteristic data comprises a number of defined categories;
• receiving historic demographic data for a number of demographic parameters over the specified time frame, wherein the demographic data corresponds to defined geographic regions in which the first number of real estate properties are located;
• build a predictive valuation model based on the financial transaction data, the characteristic data, and the demographic data;
• calculating individual values for a second number of real estate properties with the predictive valuation model according to characteristics of the second number of real estate properties;
• aggregating the individual values of the second number of real estate properties;
• receiving financial transaction data for the second number of real estate properties;
• and
• calculating a net asset value of the second number of real estate properties according to the aggregated valuations and financial transaction data.