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DROP 4.15

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@lakshmiDRIP lakshmiDRIP released this 24 Apr 19:37
· 911 commits to master since this release

DROP

v4.15 24 April 2019

DROP implements libraries for single products (fixed income, FX, and asset backed), portfolios (optimal portfolios, XVA, and Exposure analytics), and numerical support (linear algebra, numerical optimizer, and algorithm support).

DROP is composed of three modules.

  • Analytics Core Module => Fixed Income Analytics, Asset Back Analytics, Exposure and Margin Analytics, and XVA Analytics.
  • Portfolio Core Module => Portfolio Contruction, along with Execution/Transaction Cost Models.
  • Numerical Core Module => Model Validation, Spline Builder, Statistical Learning, Numerical Optimizer, and Algorithm Support Libraries.

Pointers

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Join the chat at https://gitter.im/lakshmiDRIPDROP

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Repo Structure

Module, Library, and Project Layout

Project Home Issues Library Module
analytics README Git Fixed Income Analytics Analytics
assetbacked README Git Fixed Income Analytics Analytics
dynamics README Git Fixed Income Analytics Analytics
execution README Git Transaction Cost Analytics Portfolio
exposure README Git Exposure Analytics Analytics
feed README Git Algorithm Support Numerical
function README Git Numerical Optimizer Numerical
historical README Git Algorithm Support Numerical
json README Git Algorithm Support Numerical
learning README Git Statistical Learning Numerical
market README Git Fixed Income Analytics Analytics
measure README Git Numerical Optimizer Numerical
optimization README Git Numerical Optimizer Numerical
param README Git Fixed Income Analytics Analytics
portfolio construction README Git Asset Allocation Analytics Portfolio
pricer README Git Fixed Income Analytics Analytics
product README Git Fixed Income Analytics Analytics
quant README Git Numerical Optimizer Numerical
regression README Git Algorithm Support Numerical
sequence README Git Statistical Learning Numerical
service README Git Algorithm Support Numerical
simm README Git Exposure Analytics Analytics
spaces README Git Statistical Learning Numerical
spline README Git Spline Builder Numerical
state README Git Fixed Income Analytics Analytics
template README Git Fixed Income Analytics Analytics
validation README Git Model Validation Numerical
xva README Git XVA Analytics Analytics

Installation

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

Samples

Java Samples | Excel Samples | Test Data

Documentation

Javadoc API | DROP Specifications | Release Notes | User guide is a work in progress!

Misc

JUnit Tests | Jacoco Coverage | Jacoco Session | Credit Attributions | Version Specifications

Contact

lakshmidrip7977@gmail.com

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Download LakshmiDROP