Abstract: Enhanced systems, processes, and user interfaces are provided for targeted marketing associated with a population of assets, such as but not limited to any of real estate or solar power markets. For example, the enhanced system and process may create an ordered list from a population of data, wherein the list may be optimized by the likelihood of a given event, such as but not limited to any of the selling of a home by owner, the transition of a property from non-distressed to distressed, or the purchase of solar equipment. In some embodiments, enhanced valuation models and price indices are provided for one or more assets that are associated with a population of data. As well, enhanced scoring systems and processes are provided for one or more assets that are associated with a population of data.

Abstract: Enhanced systems, processes, and user interfaces are provided for targeted marketing associated with a population of assets, such as but not limited to any of real estate or solar power markets. For example, the enhanced system and process may create an ordered list from a population of data, wherein the list may be optimized by the likelihood of a given event, such as but not limited to any of the selling of a home by owner, the transition of a property from non-distressed to distressed, or the purchase of solar equipment. In some embodiments, enhanced valuation models and price indices are provided for one or more assets that are associated with a population of data. As well, enhanced scoring systems and processes are provided for one or more assets that are associated with a population of data.

Abstract: Enhanced systems, processes, and user interfaces are provided for targeted marketing associated with a population of assets, such as but not limited to any of real estate or solar power markets. For example, the enhanced system and process may create an ordered list from a population of data, wherein the list may be optimized by the likelihood of a given event, such as but not limited to any of the selling of a home by owner, the transition of a property from non-distressed to distressed, or the purchase of solar equipment. In some embodiments, enhanced valuation models and price indices are provided for one or more assets that are associated with a population of data. As well, enhanced scoring systems and processes are provided for one or more assets that are associated with a population of data.

Abstract: Enhanced systems, processes, and user interfaces are provided for targeted marketing associated with a population of assets, such as but not limited to any of real estate or solar power markets. For example, the enhanced system and process may create an ordered list from a population of data, wherein the list may be optimized by the likelihood of a given event, such as but not limited to any of the selling of a home by owner, the transition of a property from non-distressed to distressed, or the purchase of solar equipment. In some embodiments, enhanced valuation models and price indices are provided for one or more assets that are associated with a population of data. As well, enhanced scoring systems and processes are provided for one or more assets that are associated with a population of data.

Abstract: A system and method for modifying a portfolio having respective quantities of a plurality of different meat cut types (MCT) of an animal comprising: accessing portfolio information including a first quantity of a first MCT and a second quantity of a second MCT determining first comparison data of the first MCT and of the second MCT for a selected historical time period; determining a correlation value between the first MCT and the second MCT analyzing the correlation value and adjusting a parameter of a price model used in determining the first predicted future price and sending the modified value of the first price premium for presentation to a member of the portfolio.

Abstract: A system and method for determining a future price of a selected meat cut type (MCT) of an animal for a selected future time period (FTP) including: receiving the selected MCT; storing said selected MCT in a memory; using a price model configured for determining said future price of said selected MCT for the selected FTP, said future price based on one or more defined risk levels, historical market price of said selected MCT for one or more time periods prior to said selected FTP, and live animal futures defining a price of the live animal traded as a commodity; determining via the model the future price of the selected MCT for the selected FTP, a price premium for the selected MCT for the selected FTP, and a hedge relationship defining the relative price of the live animal futures with said future price for the selected FTP; and sending the future price and the price premium for the selected MCT for the selected FTP for presentation on a user interface.

Abstract: A system and method for modifying a portfolio having respective quantities of a plurality of different meat cut types (MCT) of an animal comprising: accessing portfolio information of the portfolio stored in a memory, the portfolio information including a first quantity of a first MCT and a second quantity of a second MCT, the first MCT having a first predicted future price for a first future time period (FTP) and the second MCT having a second predicted future price for a second FTP, the first and second MCTs being part of the plurality of different MCTs; determining first comparison data based on historical first market prices of the first MCT and historical second market prices of the second MCT for a selected historical time period; determining a correlation value between the first MCT and the second MCT based on the first comparison data and the second first comparison data and the first quantity and the second quantity; analyzing the correlation value and adjusting a parameter of a price model used in d

Abstract: A system and method for determining a future price of a selected meat cut type (MCT) of an animal for a selected future time period (FTP) including: receiving the selected MCT; storing said selected MCT in a memory; using a price model configured for determining said future price of said selected MCT for the selected FTP, said future price based on one or more defined risk levels, historical market price of said selected MCT for one or more time periods prior to said selected FTP, and live animal futures defining a price of the live animal traded as a commodity; determining via the model the future price of the selected MCT for the selected FTP, a price premium for the selected MCT for the selected FTP, and a hedge relationship defining the relative price of the live animal futures with said future price for the selected FTP; and sending the future price and the price premium for the selected MCT for the selected FTP for presentation on a user interface.