Abstract: A method, system, or computer program product for non-profit organization fund raising via real estate referral fees. Information associated with a participant interested in participating in a real estate transaction in which finds can be provided to a non-profit organization (NPO) is received. An agreement is generated to be signed by an agent associated with the transaction. An electronic document of the agreement signed by the agent is received. The transaction with which the signed agreement is associated is automatically determined and the received electronic document is stored and associated with the participant.

Abstract: A method, system, or computer program product for non-profit organization fund raising via real estate referral fees. A requested URL associated with a first hyperlink in a first Web page corresponding to a URL of a first entity is received. In response to the requested URL, a second Web page corresponding to a second entity different from the first entity and capable of receiving a referral fee from a real estate transaction is transmitted. The second Web page can include information about providing funds to a non-profit organization (NPO) in response to a real estate transaction. The second Web page can include, for example, a color scheme substantially identical to the first Web page, a logo associated with the first entity, a second hyperlink associated with the first Web page, a page format substantially identical to the first Web page, or any combination thereof.

Abstract: An apparatus and method is provided for evaluating default and foreclosure loss risk, both at time zero and for several years into the future, associated with a piece of real property on the basis of factors such as statistical home price trend information for a metropolitan statistical area (MSA) in which the real property is located and loan terms. An automated valuation estimate for the property is obtained and compared to the purchase price. A loan-to-value ratio is determined based on automated valuation estimate. A future home price is predicted based on statistical data obtained for a metropolitan statistical area (MSA) in which the real property is located. Based on the future home price and the LTV ratio, a probability that the real property will have negative equity is determined, and a risk score is generated based on the probability.

Abstract: A method of providing a real estate property value estimate for a subject property through the use of an automated value model, where the method comprises: identifying known data concerning the subject property, determining whether the known data is sufficient to allow an automated valuation model to return a provisional value estimate for the subject property, in the event that the known data is not sufficient, then performing research required to identify sufficient known data and to identify relevant comparable properties, sufficient to enable the automated valuation model to return a reliable value estimate, and validating the existence of the subject property by physically examining it via an inspection.