Drip by lakshmiDRIP

DRIP

View the Project on GitHub lakshmiDRIP/DRIP

v2.63 2 March 2017

DRIP aims to collect the models and provides libraries for fixed income valuation and adjustments, asset allocation and transaction cost analytics, and supporting libraries in numerical optimization and statistical learning.

DRIP is composed of four main libraries:

Installation

Installation is as simple as building a jar and dropping into the classpath. There are no other dependencies.

DRIP Core Technical Specifications

DRIP Supporting Technical Specifications

Samples

  • The Java sample suite is also available as part of the development load.
  • The Excel samples are present on their own folder.
  • Test data is present in the Daemons folder.

Additional Documentation

Licence

Apache 2.0

Contact

lakshmi@synergicdesign.com