Long range Ising model for credit risk modeling in homogeneous portfolios
Other Condensed Matter
2016-08-31 v1 Statistical Mechanics
Risk Management
Abstract
Within the framework of maximum entropy principle we show that the finite-size long-range Ising model is the adequate model for the description of homogeneous credit portfolios and the computation of credit risk when default correlations between the borrowers are included. The exact analysis of the model suggest that when the correlation increases a first-order-like transition may occur inducing a sudden risk increase. Such a feature is not reproduced by the standard models used in credit risk modeling.
Cite
@article{arxiv.cond-mat/0401378,
title = {Long range Ising model for credit risk modeling in homogeneous portfolios},
author = {Jordi Molins and Eduard Vives},
journal= {arXiv preprint arXiv:cond-mat/0401378},
year = {2016}
}
Comments
4 pages, 3 figures