Abstract: Disclosed herein are processor-based systems and computer-implemented methods for identification, sourcing, and acquisition of distressed debt. At least one embodiment provides amalgamated debt information associated with an indebted entity, which may owe debt to multiple disparate lending entities. Often, debt information involving these lending entities is maintained in a number of unassociated and disparate data sources, to which access may be restricted on a subscriber basis. To provide amalgamated debt information associated with the indebted entity, a computer platform is programmed to carry out at least one of searching and receiving debt information that is associated with the indebted entity and that identifies some or all of the multiple disparate lending entities. The platform is programmed to amalgamate and organize the debt information, and to present the amalgamated-and-organized debt information via a user interface, providing consolidated access to the unassociated and disparate data sources.

Abstract: A computer system for managing mortgages of mortgage holders with a no foreclosure rule interconnected to funding institutions maintained as a club. The system has input devices capable of receiving data from the mortgage funding institution or mortgage originator. The home owner club agrees to assume responsibility for providing financing agreements with a no foreclosure clause. A processor calculates values and maintains up to date information as a function of the probability of property values change and the payments on mortgage obligations. A memory has a database storing data relating to mortgages and club members, pools of properties of club members and financial data. An output device produces commitment for club members (assumes obligation for providing security and solutions, and in case of difficulties for members, (maintains mortgage payments) and funding institution assumes obligations. Members may be reimbursed equity positions upon relinquishment of a mortgage obligation.

Abstract: A computerized method of using a data processor having a memory to account for carbon flows and determine a regulatory value for a biofuel includes (i) storing, in memory, a first set of one or more carbon flow values characterizing the production and use of a biofuel, wherein the biofuel is derived from a first fraction of an agricultural biomass, (ii) storing, in memory, a second set of one or more carbon flow values characterizing the sequestration of solid phase biomass carbon, wherein the solid phase biomass carbon is derived from a second fraction of the agricultural biomass and wherein the sequestration mitigates anthropogenic greenhouse gas emission, and (iii) calculating, using the data processor, a regulatory value for the biofuel from the first and second sets of carbon flow values.

Abstract: A computationally implemented method includes, but is not limited to: associating one or more fees with one or more communiqués that were transmitted by a particular end user and addressed to one or more secret entities; and providing one or more billing statements that indicate the one or more fees without at least directly identifying the one or more secret entities, the providing of the one or more billing statements being in accordance with one or more conditional directives of the particular end user to conditionally obfuscate the one or more secret entities with respect to the one or more billing statements. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A method, machine, article for servicing a specified event bond. The method can include: storing in memory terms of a bond indenture for a bond, the indenture including an agreement with at least one original investor in the bond whereby an issuer of the bond is obligated to pay to the investor a contingent liability in the bond if a specified event occurs; determining, by a computer accessing the memory and receiving market data, an amount of contingent liability corresponding to the obligation; and outputting, by the computer, the determined amount of the contingent liability.

Abstract: A computer system for administering applications for life insurance has a processor and a memory storage device in communication with the processor. The processor is configured to receive data indicative of an application and an initial premium payment from a proposed insured for life insurance; based on the received data, determine whether the proposed insured is eligible for life insurance issued before completion of comprehensive underwriting; responsive to a determination that the proposed insured is eligible, generate an output signal having data indicative of a decision to respond to the application by issuing a policy and by commencing a comprehensive underwriting process. The processor may be configured to receive data indicative of a result of the comprehensive underwriting process and based on the result of the comprehensive underwriting process, provide an output signal indicative of policy changes.

Abstract: A user can submit an order to buy or sell a tradeable object, only the order does not get sent to the matching engine. Instead, the order is placed in temporary storage and it is displayed to the user in the form of a virtual order icon. The virtual order icon indicates that an order request is waiting for an event to occur before it is automatically released to the matching engine. The virtual order icon can be managed by the user, which might include moving the icon to a different price level or deleting it. The system continuously monitors for an event to take place. In response to detecting the event, the order is released to the matching engine. As such, the virtual order icon is transformed or removed and a real order icon is displayed indicating that the order has now been sent to the matching engine.

Abstract: A message may be used to update computing system of a commodity transaction. The message may include a commodity identifier, a date term, a quantity term, and a price term. The price term may include a formula arrangement or reference to a formula arrangement for calculating a fractional exposure of the entity to the commodity on each date in which an event affecting commodity transaction occurs. Each of these fractional exposures may be calculated for each commodity transaction and stored as separate entries in a data structure. The entries may then be updated, queried, and/or reorganized to generate an exposure position.

Abstract: The present invention relates to a method for enhancing the efficiency of digitally communicated data exchanges and to a computer system that implements such a method. The invention particularly concerns the use of adaptive custom compression techniques, binary integers (“bits”), massively parallel processing, database optimization techniques and/or calculation optimization techniques to achieve such enhanced efficiency. The invention is applicable to any digitally communicated data exchange, but is particularly applicable to exchanges of financial information such as financial market buy/sell orders, market making, etc.

Abstract: Article, method, and machine transforming input data into output data. A computer: accesses data relating to a bond indenture, receives market data corresponding to terms of the indenture, a specified event, and terms of an agreement hedging a risk; and transforms some of the data into output data in determining a payment amount to the entity, a value of assets of the entity, the assets including the investment and the agreement hedging the risk, a scheduled investor payment amount by the entity, whether there has been an occurrence of the specified event, and, if an occurrence is determined, an adjustment of the scheduled investor payment amount; and outputs the output data including at least one of the payment amount to the entity, the value of the assets of the entity, the scheduled investor payment amount, and, if the occurrence is determined, the adjustment in the scheduled investor payment amount.

Abstract: A method for hedging energy sales or purchases in a short-term future or day-ahead market includes determining an historical performance of a regional net energy forecasting methodology for a facility or facilities which have solar energy generating systems in a geographical region. The method further includes estimating a difference between the maximum cost of energy in a spot market and an energy trader's minimum price of energy for each hour bid in the short-term future or day-ahead market, determining a risk factor associated with energy sales or purchases from the historical performance and the estimated difference, and purchasing or selling options to buy energy at the previous day's day-ahead market price based on the determined risk factor.

Abstract: Systems and methods for pricing financial instruments include constructing, via at least one computing device comprising one or more processors executing computer-executable instructions stored in memory, a virtual financial complex network comprising one or more interrelated financial markets. Market color data related to at least one of the financial markets is then blended with price data to determine blended pricing information. This blended pricing information is then used to define an objective function that when solved, via an optimization model, determines a minimum market price for each financial instrument across the one or more financial markets.

Abstract: Systems, methods, apparatus, computer program code and means for conducting a transaction are provided. In some embodiments, a unit is issued to a holder including a forward contract and a note, in which the note specifies an initial capped remarketing, at least a first subsequent capped remarketing, and an uncapped remarketing, the uncapped remarketing performed only if each of the capped remarketings fail.

Abstract: The present disclosure relates to household portfolio simulation and analysis to provide retirement income. In particular, it discloses advanced technologies for modeling, simulation and analysis of potential economic futures, as applied to household retirement prospects. Improved modeling may capture factors such as concrete objectives of participants' priorities among objectives, risk adversity and starting conditions that impact tax consequences of transactions. Improved modeling may address consistency among similar factors, tax consequences in simulation periods and transactions in real estate and private investments. Improved analyzes may apply a margin of safety and/or risk budget analysis to a household portfolio to produce a meaningful presentation.

Abstract: System and method for aggressively trading a spread trading strategy in an electronic environment are provided herein. According to the example embodiments, a trader may configure the automated trading tool to trade as aggressively as possible by leaning on a price without an associated quantity. This allows a trader to possibly obtain a more profitable price as well as get filled faster. Traders submit an order for a spread and the automated trading tool calculates the quote order price based on a defined level of aggressiveness, the leaned on price, and the desired spread price. Based on the level of defined aggressiveness and the gap in the market, the automated trading tool may lean on a mildly, moderately, or extremely aggressive price.

Abstract: A method for facilitating freight shipment between a first geographic location and a second geographic location is disclosed. The method comprising displaying in a first data section of a browser window derivative contract data pertaining to shipment capacity offered by carriers between the first geographic location and the second geographic location, the derivative contract data being associated with at least shipping mode. The method further comprising displaying in a second data section of a browser window forecast data pertaining to demand forecasts between the first geographic location and the second geographic location, the forecast data being provided by shippers, the second data section being configured to be viewed simultaneously with said first data section, the browser window being configured to be accessible via a computer network. The method further comprising receiving shipper assessment of accuracy of the forecast data from the shippers.

Abstract: A method of providing an account is provided. The method includes receiving identification information associated with a user during a communication session and communicating a request for credit information, the request including at least a portion of the identification information. The requested credit information is received and an account is approved and opened based at least on the received credit information. During the communication session, a request made using the opened account to place a first order to trade a first product is received. A risk value for the first order is determined. One or more current balances for the account are also determined. The method further includes determining whether to approve the first order based at least on the risk value determined for the first order and one or more of the current balances for the account, and if the first order is approved, placing the first order.

Abstract: System(s) and method(s) to incentivize adoption of time-dependent customized insurance benefit(s) are provided. A provider of insurance benefit(s) incentivizes adoption of the insurance benefit(s) in exchange for knowledge of operation characteristics of an insured entity. Knowledge is cumulative and collected from the insured entity and environment in which the entity operates. Incentivation is accomplished at least in part through generation of incentive offer(s) based on available knowledge, which is associated with an operator of the insured entity rather than with the entity itself. The operator can regulate the scope of exchanged knowledge, and received incentive offer(s) and related content. Incentive offer(s) can be directed to provision of insurance benefit coverage that is adequate to current or nearly current operation condition(s); discounted real-time or nearly real-time insurance benefits; or subsidized service(s).

Abstract: Apparatuses, methods, and systems directed to deriving optimal parameters of a learning algorithm to maximize an objective function of online keyword auctions for bidded terms. Some embodiments of the invention simulate online keyword auctions based on historical data for the bidded terms, wherein the parameters of the simulated auctions such as market reserve prices of the bidded terms are determined by an adaptive learning algorithm. The values of the parameters of the learning algorithm are optimized by a stochastic optimization method to maximize an objective function for the auctions of the bidded terms.

Abstract: Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Private equity firms and other investors of small businesses can use the CSoW/CSoSW modeling approach to more accurately evaluate small and privately held companies, both during investment and for evaluating prospective investments. Over-the-counter securities trading systems can also use this modeling approach to provide more accurate information and/or rankings of listed companies to their customers.