/pyABS

Useful functions to analyze Asset Backed Securities deals

Primary LanguageJupyter NotebookMIT LicenseMIT

PyABS

Code to simulate purchase of portfolio of Asset Backed Securities under simulated interest rate scenarios. This code is intended to illustrate opportunities presented by a real life scenario, the Term Asset Loan Facility, explained in tis article: https://towardsdatascience.com/alpha-generation-using-data-science-quantitative-analysis-abs-talf-part-1-eade08b075c

Image of concept

Steps

  • Generate correlated random numbers to feed a multivariate process applied to interest rates
  • Simulate movements of spreads over a becnhmark for given asset classes
  • Simulate purchases of assets under given assumptions
  • Simulate probabilities of assets transitioning from intial rating to other ratings and defaults, using a Markov process
  • Calculate distribution of returns/risks under several scenarios

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