Abstract: A method and system for generating a real estate property index uses real estate data including price data, property data and time of sale data that are entered into a computing apparatus. The time of sale data is manipulated to provide consecutive triple times giving two consecutive time periods (e.g., March, April, May 2007 and April, May, June 2007). A transform function, preferably a long function, is generated with two time dummy variables, and the coefficients of the two time dummy variables are extracted and added to generate a transformed growth rate. The reverse transform function, preferably an anti-log function, is generated to provide the desired untransformed growth rate.

Abstract: Asset indexes are intended to track changes in the market value of assets. However, some assets such as real estate can change in value for reasons other than that a general change in the market has occurred. For example, a house can have an addition which adds another bedroom or a portion of land can be sub-divided, in which case an increase or decrease respectively in the asset value can occur which is independent of movements in the overall market. A method of generating an asset index under these circumstances is disclosed by effectively removing from the asset portfolio those assets which have had a change in attribute come to notice on the day the asset index is calculated. Such an asset is restored to the portfolio on subsequent days.

Abstract: A method and system for generating a real estate property index uses real estate data including price data, property data and time of sale data that are entered into a computing apparatus. The time of sale data is manipulated to provide consecutive triple times giving two consecutive time periods (e.g., March, April, May 2007 and April, May, June 2007). A transform function, preferably a log function, is generated with two time dummy variables, and the coefficients of the two time dummy variables are extracted and added to generate a transformed growth rate. The reverse transform function, preferably an anti-log function, is generated to provide the desired untransformed growth rate.

Abstract: A data processing system and method are disclosed which finds particular application to equity finance mortgages. An Overall System 600 is formed from a Target Investment System 100, an Asset Origination System 200, an Asset Securitization System 400, an Asset Servicing System 300 and an Asset Management System 500. Financial feedback is applied to ensure targets are achieved. Mortgages are pooled and on-sold to investors and selected for acceptance on the basis of preferences expressed by the investors. Preferably the mortgage or like financial arrangement includes provisions relating to mitigating collateral valuation risk and consumer gaming.

Abstract: A method, apparatus and system for computing mortgage insurance premiums for shared equity mortgages are disclosed. Such shared equity mortgages rank behind a conventional interest bearing first mortgage and both mortgages are secured over the same property. Details of the mortgages and property are stored in the data store of a computer system. The future sale price at predetermined future dates for each property is estimated in order to calculate each possible future loss in the event that the shared equity mortgage is terminated at each future date. This information and an estimated probability of termination at each future dates are used to calculate an appropriate insurance premium.

Abstract: A data processing system and method are disclosed which finds particular application to equity finance mortgages. An Overall System (600) is formed from a Target Investment System (100), an Asset Origination System (200), an Asset Securitization System (400), an Asset Servicing System (300) and an Asset Management System (500). Financial feedback is applied to ensure targets are achieved. Mortgages are pooled and on-sold to investors and selected for acceptance on the basis of preferences expressed by the investors.

Abstract: A method and system for generating a real estate property index uses real estate data including price data, property data and time of sale data that are entered into a computing apparatus. The time of sale data is manipulated to provide consecutive triple times giving two consecutive time periods (e.g., March, April, May 2007 and April, May, June 2007). A transform function, preferably a log function, is generated with two time dummy variables, and the coefficients of the two time dummy variables are extracted and added to generate a transformed growth rate. The reverse transform function, preferably an anti-log function, is generated to provide the desired untransformed growth rate.