Goldman Sachs &co. LLC

International Business Machines Corporation

Pantelis G Tsoucas

Jay S Dweck

Peter Anthony Franaszek

Joy Aloysius Thomas

Systems and methods are provided to model financial transactions. According to some embodiments, simple events, branch events, composite events, and/or contingent events associated with a financial transaction are defined. The events may then be used to automatically manage the transaction during the transaction's lifecycle.

Financial transaction modeling system

Systems and methods are provided to model financial transactions. According to some embodiments, simple events, branch events, composite events, and/or contingent events associated with a financial transaction are defined. The events may then be used to automatically manage the transaction during the transaction's lifecycle. In one embodiment, at least one simple event associated with an asset transfer is defined, including a transfer amount and a transfer date. At least one branch event associated with a set of simple events is also defined, including a branch date and a branch selector. In addition, at least one composite event associated with a plurality of the simple events or branch events is defined. The transaction may then be automatically managed during the transaction's lifecycle based at least in part on the simple events, the branch events, and the composite events.

A system and method for compressing or predicting data information received within an input stream, wherein contextual information is utilized in the selection of dictionaries for encoding or predicting of a next phrase within the information stream. The present invention utilizes contextual information in conjunction with dictionary-based Lempel-Ziv compression processes.

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Mount Kisco, NY, United States of America

Pantelis G Tsoucas