Estimating Markov Transition Matrices Using Proportions Data : An Application to Credit Risk /
This paper outlines a way to estimate transition matrices for use in credit risk modeling with a decades-old methodology that uses aggregate proportions data. This methodology is ideal for credit-risk applications where there is a paucity of data on changes in credit quality, especially at an aggreg...
| Main Author: | Jones, Matthew |
|---|---|
| Format: | Journal |
| Language: | English |
| Published: |
Washington, D.C. :
International Monetary Fund,
2005.
|
| Series: | IMF Working Papers; Working Paper ;
No. 2005/219 |
| Online Access: | Full text available on IMF |
Similar Items
-
Proportionality
by: Aharon Barak
Published: (2012) -
The Principle of Proportionality
by: hulsroj
Published: (2013) -
Markov Chains
by: Ching
Published: (2013) - Proceedings of the 2nd Workshop on Data Mining using Matrices and Tensors
-
Statistical Models for Proportions and Probabilities
by: Seber
Published: (2013)