Patent ID: 8244619
Filing Date: 2012-08-14
Classification: G06Q

Abstract:
1. A computer-based method comprising performing, with one or more computers, the steps of: representing transactions involving sales of real estate assets in a geographical region, as respective sets of data points associated with values of the real estate assets, the data points including transaction value information including price per unit area and transaction date for each transaction, determining parameters that fit probability density functions to at least one component of a value spectrum of the data points, the value spectrum being a log-log spectrum of a number of sales in the geographical region on a given transaction date versus price per unit area, the probability density function for at least one of the components comprising a triple power law including a first power law, a second power law, and a third power law, the parameters not including an offset parameter representing possible shifts in the value spectrum over time, the first power law applying between a price per unit area a and a price per unit area b, the second power law applying between the price per unit area b and a price per unit area c, the third power law applying between the price per unit area c and a price per unit area d, wherein the triple power law comprises: wherein h b is a height of the value spectrum at b, h c is a height of the value spectrum at c, β L is an exponent of the first power law, β M is an exponent of the second power law, β R is an exponent of the third power law; and forming a daily index of values associated with the assets using at least one of the determined parameters, wherein for each day, the daily index provides a price per unit area for transactions involving real estate assets on said each day in the geographical region.