Foundations of Credit Risk Modelling
This learning series introduces the reader to the key components of credit loss distribution. These components are credit loss, the default probability and recovery rate.
Course Syllabus
Default risk can be defined as the risk that the counterparty to a transaction does not honour its obligation. Default could be both in terms on monetary and non-monetary terms, and it's a part of every transaction.
In order to understand default risk, we will analyze the its key components: Default arrival, exposure at default, and loss given default.
While the terms expected loss and unexpected loss are commonly used in risk management, it is important to have a clear understanding of what they actually mean.
The recovery rates are a crucial element for calculating credit risk. The loss given default of an asset or a portfolio is calculated as 1 minus the recovery rate.
It is practically impossible to accurately predict the recovery rates. There are various factors that will affect the recovery rates of a defaulted loan.
Most of the people use the beta distribution to model recovery rates. In probability theory and statistics, the beta distribution is a family of continuous probability distributions defined on the interval (0, 1) parameterized by two positive shape parameters, typically denoted by alpha and beta.
What's Included:
Topics Covered
Data Science for Finance Bundle
Learn the fundamentals of R and Python and their application in finance with this bundle of 9 books.