Abstract: Embodiments of the invention provide an innovative, fully-automated system that facilitates the buying and selling of debt-based derivatives and other assets. The techniques described herein eliminate opaqueness, inefficiencies, and lack of risk monitoring and provide an end-to-end, highly efficient reverse-auction platform that considers many aspects of risk control and other parameters. This is accomplished while computing a true CDS price by incorporating reference entity, primary and secondary insurance company default risks. Furthermore, the reference entity pricing model decouples the borrower from the entity issuing the debt and eliminates rating inflation due to digital discontinuity.

Abstract: A system and method are described for the providing securities exchange members increased liquidity for affecting trades. Securities exchange members will have access to both a Dark Trading Facility and securities exchange for trading. When trading on the security exchange, these members will be able to access the Dark Trading Facility using the security exchange infrastructure. Further, when such members enter orders onto the Dark Trading Facility, they will have access to the security exchange display book from the dark pool of the Dark Trading Facility. The trading transactions executed in the Dark Trading Facility or initiated by the Dark Trading Facility, preferably, are automatic and anonymous.

Abstract: A computer-implemented method for automatic defeasance of a base portfolio of credit default swaps, the base portfolio being held between a first counterpart and a second counterpart, including the steps of: receiving at a portfolio database trade data related to the base portfolio; identifying from the trade data at a matching engine trades that have at least one of matching core attributes and matching trade characteristics so as to compile the base portfolio; grouping at a sub-portfolio generator the identified trades into sub-portfolios; determining at a spread value engine a set of allowable spread values for each sub-portfolio; and for each sub-portfolio, generating at a defeasance portfolio engine a defeasance portfolio of credit default swaps comprising at the most two trades, each of the two trades having a spread value selected from the determined set of allowable spread values so that the defeasance portfolio replicates the base portfolio and minimizes gross notional of the defeasance portfolio.

Abstract: Computer-based systems and methods for calibrating a surface. The surface may be a 1-D or multi-D surface, such as a volatility grid used to price financial instruments whose price depends on volatility. The computer system may comprise: a database that stores calibration input data; a processor in communication with the database; and a memory in communication with the processor. The memory stores instructions which when executed by the processor causes the processor to calculate entries for a vector representing the surface based on the calibration input data. The entries for the vector representing the surface are calculated based on a product of a matrix of a set of basis functions and a vector of coefficients for the set of basis functions, where entries for the vector of coefficients are determined based on the calibration input data. In various implementations, the set of basis functions comprises a set of b-spline basis functions.

Abstract: An interactive online funding method includes providing an interactive online funding platform, offering an interactive funding activity for a user to participate in the interactive online funding platform, by placing a bid, and comparing the bid price of the user with a threshold price set by the interactive online funding platform. When the bid price is greater than or equal to the threshold price, the method further includes utilizing the interactive online funding platform to perform settlement and liquidation to remit a loan amount to the user according to at least the bid price; when the bid price is lower than the threshold price, the method further includes utilizing the interactive online funding platform to perform settlement and liquidation to receive a deposit amount from the user according to the bid price.

Abstract: A learning model is built on a combination of advertiser, publisher and user data. The learning model can be applied to all advertisers in an advertising system. The learning model provides predicted conversion rates for a given advertisement (“ad”) appearing on different publisher networks. A predicted conversion rate represents the probability that a click on a given ad appearing on a given publisher will lead to a conversion. The predicted conversion rates are used to generate a multiplier. The multiplier is used to automatically adjust the advertiser's bid (e.g., maximum cost-per-click (CPC)) for the given ad prior to an auction for the ad. Adjusting the advertiser's bid equalizes a cost-per-conversion among the publishers for the ad.

Abstract: A system, according to one embodiment, includes a hybrid account provided by an issuer to a user, the hybrid account having a balance, the balance being either positive, zero, or negative; and a financial instrument including a hybrid card, the hybrid card providing access to the hybrid account, in which transactions using the hybrid card provide interchange income to the issuer, the issuer charges interest to the hybrid account when the balance is negative, and the issuer pays interest to the hybrid account when the balance is positive.

Abstract: A video demographics analysis system selects a training set of videos to use to correlate viewer demographics and video content data. The video demographics analysis system extracts demographic data from viewer profiles related to videos in the training set and creates a set of demographic distributions, and also extracts video data from videos in the training set. The video demographics analysis system correlates the viewer demographics with the video data of videos viewed by that viewer. Using the prediction model produced by the machine learning process, a new video about which there is no a priori knowledge can be associated with a predicted demographic distribution specifying probabilities of the video appealing to different types of people within a given demographic category, such as people of different ages within an age demographic category.

Abstract: In accordance with embodiments of the present disclosure, systems and methods for facilitating financial transactions over a network include communicating with a financial institution over the network, wherein the financial institution includes a first user account related to a user. The systems and methods include receiving a fund transfer request from the financial institution on behalf of the user and establishing a second user account related to the user based on user information passed with the fund transfer request. The systems and methods include processing the fund transfer request by linking the first user account to the second user account based on the user information passed with the fund transfer request, receiving funds from the financial institution associated with the first user account, and depositing the received funds in the second user account on behalf of the user.

Abstract: A system and method are described for the providing securities exchange members increased liquidity for affecting trades. Securities exchange members will have access to both a Dark Trading Facility and securities exchange for trading. When trading on the security exchange, these members will be able to access the Dark Trading Facility using the security exchange infrastructure. Further, when such members enter orders onto the Dark Trading Facility, they will have access to the security exchange display book from the dark pool of the Dark Trading Facility. The trading transactions executed in the Dark Trading Facility or initiated by the Dark Trading Facility, preferably, are automatic and anonymous.

Abstract: Systems and methods of conducting a payment transaction using a mobile phone as a relay. The systems and methods receive transaction information associated with a transaction at a mobile communication device from a merchant. They send the transaction information with the mobile communication device to an issuer associated with the mobile communication device. The issuer thereafter sends an authorization response message to the merchant.

Abstract: Embodiments of the present invention provide a method and system for enabling a financial institution to communicate with a merchant regarding post-authorization processing of a financial transaction. The merchant assesses feasibility of the financial transaction after receiving an authorization from the financial institution for the financial transaction and accordingly processes the financial transaction based on the feasibility assessment. The processing of the financial transaction may either result in fulfillment or non-fulfillment of the financial transaction depending on the feasibility assessment. Finally, the merchant provides the financial institution details related to the processing of the financial institution in real-time following the authorization.

Abstract: System, method and framework for generating scenarios used in risk management applications. The present invention is based on a generic framework that provides levels of abstraction, segregates risk factors and models, and structures a scenario generation process.

Abstract: A learning model is built on a combination of advertiser, publisher and user data. The learning model can be applied to all advertisers in an advertising system. The learning model provides predicted conversion rates for a given advertisement (“ad”) appearing on different publisher networks. A predicted conversion rate represents the probability that a click on a given ad appearing on a given publisher will lead to a conversion. The predicted conversion rates are used to generate a multiplier. The multiplier is used to automatically adjust the advertiser's bid (e.g., maximum cost-per-click (CPC)) for the given ad prior to an auction for the ad. Adjusting the advertiser's bid equalizes a cost-per-conversion among the publishers for the ad.

Abstract: A method for detecting trends based on outcomes generated by a first process, comprising the steps of: (a) determining all possible outcomes associated with the first process, wherein the first process is associated with a range of possible outcomes; (b) coding the possible outcomes to provide a plurality of separate groups, wherein each possible outcome is systematically allocated to one of the groups; (c) allocating an identifier to each of the groups; (d) monitoring the first process such that actual outcomes generated by the first process are mapped to an identifier in accordance with coding step (b); (e) providing a matrix made up of rows and columns; (f) allocating each identifier generated in step (d) to the matrix, and (g) repeating step (f) until a trend of duplicating identifiers becomes self-evident.

Abstract: A system, according to one embodiment, includes a hybrid account provided by an issuer to a user, the hybrid account having a balance, the balance being either positive, zero, or negative; and a financial instrument including a hybrid card, the hybrid card providing access to the hybrid account, in which transactions using the hybrid card provide interchange income to the issuer, the issuer charges interest to the hybrid account when the balance is negative, and the issuer pays interest to the hybrid account when the balance is positive.