Algorithmics Software LLC

Glo Software LLC

International Business Machines Corporation

Leonid Merkoulovitch

Dan Rosen

Diane Reynolds

Yaacov Mutnikas

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. In one aspect of the present invention, there is provided a framework for scenario generation for use in a risk management application, where the framework defines a plurality of components associated with a scenario set, where each component is represented by at least one of a set of data structures, and where the set of data structures comprises: at least one first data structure defining a group of risk factors with similar statistical properties; at least one second data structure defining the future distribution or evolutionary process of a risk factor in the group of risk factors; a third data structure defining a calibrated model for generating scenarios, where relationships between risk factors of the group of risk factors are defined therein, and where the calibrated model associates each second data structure with a first data structure; and a fourth data structure specifying how the first, second, and third data structures are to apply to a user-specified risk management problem.

System, method and framework for generating scenarios

The present invention is directed to a generic, object-oriented library of generators and operations on generators. The library of generators and other objects provides a set of reusable components that can be used in the development of other components required for new risk management generation models. Using basic simple objects predefined in the library and the operations on these objects, complicated objects required for a new risk management generation models may be built more efficiently and easily. In one aspect of the present invention, there is provided a generator for use in developing risk management software, where the generator produces elements of a sequence governed by a sequential process, where the generator comprises a common generator interface, and where the common generator interface comprises a first function that generates the next element of the sequence, and a second function that returns the element most recently generated by the first function, and where the generator can participate with at least one other operand in an expression to produce a second generator.

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Toronto, Canada

Leonid Merkoulovitch