Using Model Performance to Assess the Representativeness of Data for Model Development and Calibration in Financial Institutions
This paper proposes a methodology that utilises model performance as a metric to assess the representativeness of external or pooled data when it is used by banks in regulatory model development and calibration. There is currently no formal methodology to assess representativeness. The paper provide...
Saved in:
Main Authors: | Chamay Kruger, Willem Daniel Schutte, Tanja Verster |
---|---|
Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/bbbf6ba1bd0a4c899f6dbab8ebe0103b |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development of an Impairment Point in Time Probability of Default Model for Revolving Retail Credit Products: South African Case Study
by: Douw Gerbrand Breed, et al.
Published: (2021) -
A Critical Analysis of Volatility Surprise in Bitcoin Cryptocurrency and Other Financial Assets
by: Yianni Doumenis, et al.
Published: (2021) -
Designing a Model for Testing the Effectiveness of a Regulation: The Case of DORA for Insurance Undertakings
by: Simon Grima, et al.
Published: (2021) -
Establishing a Credit Risk Evaluation System for SMEs Using the Soft Voting Fusion Model
by: Ge Gao, et al.
Published: (2021) -
Value-Based Financial Risk Prediction Model
by: Jiří Pospíšil, et al.
Published: (2021)