Concurrent credit portfolio losses.

PLoS One

Fakultät für Physik, Universität Duisburg-Essen, 46057 Duisburg, Germany.

Published: March 2018

We consider the problem of concurrent portfolio losses in two non-overlapping credit portfolios. In order to explore the full statistical dependence structure of such portfolio losses, we estimate their empirical pairwise copulas. Instead of a Gaussian dependence, we typically find a strong asymmetry in the copulas. Concurrent large portfolio losses are much more likely than small ones. Studying the dependences of these losses as a function of portfolio size, we moreover reveal that not only large portfolios of thousands of contracts, but also medium-sized and small ones with only a few dozens of contracts exhibit notable portfolio loss correlations. Anticipated idiosyncratic effects turn out to be negligible. These are troublesome insights not only for investors in structured fixed-income products, but particularly for the stability of the financial sector. JEL codes: C32, F34, G21, G32, H81.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5806874PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0190263PLOS

Publication Analysis

Top Keywords

portfolio losses
16
portfolio
6
losses
5
concurrent credit
4
credit portfolio
4
losses consider
4
consider problem
4
problem concurrent
4
concurrent portfolio
4
losses non-overlapping
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!