Abstract: An engine, system and method for providing cloud-based business intelligence data, responsively to received company information, including a local front end comprising a graphical user interface capable of locally querying a user for an electronic location of the received company information, and ones of the business intelligence data to be displayed on the graphical user interface upon upload of the received company information from the electronic location, and further including an at least partially remote back end, comprising an accessing engine capable of accessing the electronic location for uploading to the cloud of only ones of the received company information indicative of the ones of the business data intelligence to be displayed, and a charging engine for charging an account of a user of the front end $1 per the ones of the business intelligence data to be displayed.

Abstract: The system and method described herein may be used to forecast realized volatility via wavelets and non-linear dynamics. In particular, a volatility time series that includes daily volatility values associated with a security may be decomposed into wavelets via multi-resolution analysis and dynamical properties associated with the individual wavelets may be analyzed to identify deterministic and non-deterministic wavelets and produce a volatility forecast derived from a fit computed on the deterministic wavelets. For example, the wavelets may be analyzed to discover time delay, Theiler, and embedding dimension values associated therewith, which may be used to project volatility values associated with each wavelet. The projected volatility values associated with each wavelet may then be summed to produce a volatility forecast associated with the security.

Abstract: A billing management package which handles all web access as charged transactions (Pay-as-you-go) for browsing and purchasing product(s), service(s), and/or data on the Internet. The software is designed to be loaded on an individual web or a web server front ending multiple domains and/or access to other domains through Internet servers. The software deals with access to web pages, content viewing and product selection, billing the user for time spent browsing or per number of pages downloaded, and acting as a broker for multiple product selections. The billing software package is modular, each one handles different time based access transactions used for browsing and/or purchasing on the Internet.

Abstract: A deferred payment authorization system that allows users to exercise an instant purchase, deferred payment option for online payment without providing payment information. multiple transaction costs for frequent or recurring purchases can be reduced to a singe transaction that can be processed offline at the user's convenience, particularly for small, online purchases made on a frequent or reoccurring basis.

Abstract: Electronic trading systems and methods which facilitate principal/broker trading are provided. In a first aspect of the invention, a database relating to trading participants in the trading system is designed to indicate which traders utilize a principal/broker relationship and what, if any, limitations are placed on the activity of the broker, trading commands submitted by the broker, and counterparties in a transaction with the broker. In another aspect of the invention, trading commands and executed trades involving principals/brokers may be presented to other traders using special designations. The ability to enter certain trading commands by, and in response to, brokers may be limited. In a further aspect of the invention, anonymous trading features may prevent traders from knowing whether another trader is a broker or principal, may restrict traders from being able to block trading with brokers, and may permit brokers to configure anonymous trading parameters.

Abstract: An improved technique identifies risky transactions from a set of transactions and updates risk scores only for those transactions identified as risky. Along these lines, a transaction sorting engine sorts the set of transactions according to risk score. The transaction sorting engine identifies as risky those transactions having risk scores above a specified percentile; for instance, the transactions having risk scores above the 90th percentile would be identified as risky. Some time later, a risk score engine adjusts, based on new historical transaction data, Bayesian weights which it uses to compute risk scores. The transaction sorting engine sends to the risk score engine only those transactions it identified as risky. The risk score engine computes new risk scores for the risky transactions and makes the new risk scores available to the transaction sorting engine so that it can sort all of current transactions (e.g., received within the past week).

Abstract: Present embodiments are directed to a server computer. The server computer establishes a first channel of communication to receive payment device data in a first format (e.g., chip type) and establishes a second channel to receive the payment device data in a second format (e.g., legacy type). The server computer receives an authorization request message in the second format from a merchant and generates a new authorization request message in the first format. The server computer then forwards the new authorization request to the issuer for approval.

Abstract: A system and methods are developed for providing market data in an electronic trading environment. One example method includes determining a probability model comprising a probability corresponding to a change in relation to a market data parameter, then, using the probability to generate a compressed bit stream representing the market data parameter, and providing the compressed bit stream to the client terminal.

Abstract: Systems and methods for delivering a plurality of trading data messages to a server in connection with the monitoring the trading of financial instruments are provided. A listener subscribes to a subset of the plurality of trading data messages generated by market participants or components within the trading platform. A buffer receives the subset of the plurality of trading data messages and stores the subset of the plurality of trading data messages. A server, such as a live alerts server, receives the subset of the plurality of trading data messages stored from the buffer and analyzes the subset of the plurality of trading data.

Abstract: A trading system includes: a first set of two or more functions and a second set of two or more functions, wherein each of the functions in the first set and the second set includes a variable that is of a common variable type, wherein the value of the variable that is of the common variable type in the first set of functions and the value of the variable that is of the common variable type in the second set of functions may be different at a given point in time; and a function editing mechanism through which the value of the variable that is of the common variable type in the first set of functions may be edited for each of the functions in the first set of functions without affecting the value of the variable that is of the common variable type in the second set of functions.

Abstract: A computer receives information about a debit account controlled by a third-party issuer, a user owing the account and instructions for managing the account after a specified trigger date. Operating according the instructions, an unknown remaining balance in the account may be exhausted after the trigger date has passed, using a sequence of charges responsive to the initial balance, to the last charge amount completed or attempted, and to whether or not the last charge amount is accepted. In the alternative, or in addition, the account may be managed to convert the remaining balance to a non-monetary coupon (e.g., “virtual currency”) for use in an online computer game or the like, after the trigger date.

Abstract: A server may receive from a trading system information on an insurance policy, in which the information may include privacy related information. The server may compare the privacy related information to at least one predefined characteristic and determine that there is a match between the privacy related information and the characteristic. Based at least in part on there being a match, the server may filter-out the insurance policy such that the information on the insurance policy is not provided to a workstation in use by a participant. Alternatively, the server may determine that there is not a match between the privacy related information and the characteristic and provide the information, minus the privacy related information, to the workstation.

Abstract: An automated loan risk assessment system and method are described. The system is adapted to receive information about a loan or an insurance application requesting insurance to cover same. The system calculates a risk score for the loan based on a plurality of risk factors including at least two of a fraud risk factor, a credit risk factor and a property valuation risk factor. The risk score can be used by a loan service provider in deciding whether or not to fund or insure the loan.

Abstract: A method, an apparatus and an article of manufacture for detecting a fraudulent mobile money transaction. The method includes determining a reputation score for at least one customer based on historical data, determining multiple patterns related to fraudulent mobile money transaction activities by using the reputation score and the historical data, automatically detecting at least one of the patterns in mobile money transactions incoming from at least one other customer, and classifying the at least one detected pattern as a fraudulent mobile money transaction or a genuine mobile money transaction.

Abstract: A fraud detection engine is provided that analyzes transactions for fraudulent transactions. The transactions may include credit card or debit card transactions. The fraud detection engine may identify possible sources of fraud. The fraud detection engine may identify possible phony acceptors that masquerade as genuine merchants. The fraud detection engine may identify compromising points where accounts become compromised and are prone to fraudulent transactions thereafter. The fraud detection engine may receive and analyze transaction data in real-time or in batch mode. The fraud detection engine may use fuzzy logic. The fraud detection engine may use artificial intelligence such as case-based reasoning or business rules.

Abstract: The present invention provides a computer-based system for evaluating risk in asset backed securities (ABS) comprising: a database containing data associated with an asset pool of an ABS; a computer having a processor for executing software and being adapted to establish a communication link with an external provider of electronic data and to receive a first data set associated with an asset pool of an ABS, the first data set including credit score data related to the asset pool; and a migratory pattern predictive model application executed by the processor and adapted to analyze at least a part of the first data set, including the credit score data, and to determine a rating concerning the relative risk associated with the ABS.

Abstract: A computerized universal payment method to allow merchants with differing risk tolerance, transaction fee tolerance, and payment time tolerance to optimize customer payment transactions that have different risks, transaction fees, and transaction times. Here customer payments are converted to a synthetic financial account (a universal payment account) that acts somewhat like a financial marketplace between a plurality of merchants and customers. The method adjusts for the risks, transaction fee, and payment times associated with a customer's particular mode of payment, as well as adjusting for the merchant's tolerance for risks, transaction fees, and payment times, as well as optionally the merchant's knowledge about the customer. Thus, given permission, a customer paying by a high commission credit card, may upon merchant election have this payment converted to a low commission electronic check, and vice versa.

Abstract: Apparatus, methods and media for providing a supply chain link performance change indicator. The apparatus may include, and the methods and media may involve a processor module, a receiver module and an output device. The processor module may provide to a user a vector selection control. The receiver module may receive financial data corresponding to the supply chain link. The financial data may include a plurality of vectors. The receiver may receive via the vector selection control a first vector identifier corresponding to a first vector in the plurality of vectors and a second vector identifier corresponding to a second vector in the plurality of vectors. The output device may provide to the user a first supply chain link performance change indicator corresponding to the first vector and a second supply chain link performance change indicator corresponding to the second vector.

Abstract: Systems and methods for asset valuation, whole loan processing and inventory management is described. The systems and methods may include modules. An asset valuation tool may use multiple data sources for producing current and predicted future values and historical and intermediate data points on a requested timeline. A loan information pricing tool may perform unlimited volumes of loan program eligibility and multi-variable pricings on a user desktop. A workout activity tracking tool may capture, monitor, measure and report on a loan workout process including direct hosting and integration of the asset valuation tool and the loan information pricing tool. The present invention may offer diverse and competitive modular components as well as an integrated and innovative platform that does not exist in the market.

Abstract: A system, method and computer program product creates an index based on accounting based data, as well as a portfolio of financial objects based on the index where the portfolio is weighted according to accounting based data. A passive investment system may be based on indices created from various metrics. The indexes may be built with metrics other than market capitalization weighting, price weighting or equal weighting. Non-financial metrics may also be used to build indexes to create passive investment systems. Additionally, a combination of financial non-market capitalization metrics may be used along with non-financial metrics to create passive investment systems. Once the index is built, it may be used as a basis to purchase securities for a portfolio.