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What is STARS?


STARS, Savvysoft Trading And Risk System, is a standalone system for managing portfolios of any type of exchange-traded or OTC structures in any market.


What makes it unique?


STARS is a generic system, not specific to any one market, or any one user.


STARS handles any instrument in any market. All instruments, even the simplest ones, are defined within a simple screen inside the system. This means new instruments of arbitrary complexity can be defined in a matter of minutes, without any programming. New instruments can be added, and existing instruments can be changed, to suit the client’s needs. All this can be done by the client without the need to call Savvysoft (though we’ll be there to help any time you need it).


STARS calls into user-defined models for virtually all calculations. That means theoretical prices, sensitivities, cash flows, yield curve and volatility calibration, but also random number generation, random number application (i.e. additive versus multiplicative), portfolio aggregation (summation, weighted average, etc.) scenario aggregation (5% worse loss, for example), rich/cheap analysis, RAROC, collateral netting, cost of capital, and anything and everything else.


Models are integrated into STARS through simple input screens, with no programming required. This means instruments can be fully integrated into STARS in less than half a day, instead of weeks or months as with other systems.


What instruments can it handle?


Any instrument out there.


What models does it use?


Any model you want to plug in.


What platforms does it run on?


All flavors of Windows and Linux/Unix.


What type of reports are available?


Portfolio statistics for an individual scenario, and across scenarios. VaR. Hedging. Performance attribution. Collateral management. Limits. Realized/unrealized profits and losses. Total performance over time. Documentation needs. Interest rate buckets. FAS 133 hedge effectiveness.


How does it interface with market data providers?


Market data can come in from either real-time feeds or files. Because of the wide variety of data available, and the wide array of ways organizations already handle data, small bridges are typically written during system implementation for the client’s specific needs, which can be easily maintained as data providers and/or their formats change.

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