An Introduction to Credit Risk in Banking: BASEL, IFRS9, Pricing, Statistics, Machine Learning — PART 2
Welcome back! In my previous post (PART 1) I introduced the basic terminology & building blocks to credit risk management in banking. In this part, I will continue building upon these basics. I will discuss Rating Philosophies in banking, IFRS9, important regulatory frameworks in the EU, Use Cases & different models for credit risk and finally a list of important statistical concepts that is needed to build & validate credit models. In later posts, the focus will shift towards statistics/machine learning and implementation of this list with examples in Python.
Table of Contents
International Financial Reporting Standard 9 (IFRS 9)
Important Regulatory Frameworks in the EU
Use Cases & Different Models for Credit Risk
Additional Concepts for the Future
Statistical Concepts for Modelling & Validation
International Financial Reporting Standard 9 (IFRS 9)
IFRS9, a set of accounting standards, was issued by the International Accounting Standards Board (IASB) in July 2014, replacing the previous International…
