Skip to content

Zero-inflated Poisson model for predicting prepayment rates of Ginnie Mae MBSs

Notifications You must be signed in to change notification settings

kstreepy/prepayments

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Inflated Poisson Hurdle Model for Ginnie Mae Prepayments

This was a project that never wound up being used by my employer due to lack of headcount availibility in the regional office from which they managed the fund. It made use of freely available Ginnie Mae data, plus some proprietary stuff from Bloomberg. I've not uploaded any data, but a person with access to Bloomberg would be able to recreate all this work. The code to wrangle Ginnie Mae data into usable HDF5 files is worth something on it's own.

The final white paper is available at the root directory as a pdf. You can see my entire process over the course of a couple of months in the doc/ directory, as a collection of Jupyter notebooks.

About

Zero-inflated Poisson model for predicting prepayment rates of Ginnie Mae MBSs

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 95.5%
  • Stan 3.9%
  • TeX 0.6%