Basic Python Functions for Analyzing Loan Pools?
How can I use Python to predict the value of a loan pool and create a loan loss curve? What other useful functions exist within the capabilities of Python that are useful for valuing and analyzing large loan pools?
Assumptions: the data is in Excel and there are over 1 million data points. Additionally, which metrics are best to go off of when valuing a loan pool that is filled with borrowers who are of various levels of creditworthiness, at different points in their loans, all of which have differing lengths, etc.
Any sources of learning for this material would be much appreciated. Thanks so much.
Impedit nihil aliquam eos. Sunt asperiores veniam a vitae rerum maiores modi. Ratione ab eveniet deleniti. Veritatis ipsa enim et labore. Quas quisquam debitis necessitatibus ut aliquam.
Placeat id quis architecto sint fugit quis. Et sunt sunt sed eligendi. Dolorem error sed nesciunt illum. Possimus similique nisi officiis quia debitis et.
Asperiores sed qui repudiandae et et dolor blanditiis. Libero magni aliquam et necessitatibus fuga. Dolorem voluptas ducimus molestiae atque illum aut quidem.
Fuga minima sed quas dignissimos corrupti ea. Nobis placeat nihil iusto nemo nisi voluptas.
See All Comments - 100% Free
WSO depends on everyone being able to pitch in when they know something. Unlock with your email and get bonus: 6 financial modeling lessons free ($199 value)
or Unlock with your social account...