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Concurrent Quantification of Cellular and Extracellular Components of Biofilms

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Published on: December 10, 2013

Concurrent credit portfolio losses.

Joachim Sicking¹, Thomas Guhr¹, Rudi Schäfer¹

¹Fakultät für Physik, Universität Duisburg-Essen, 46057 Duisburg, Germany.

|February 10, 2018

Summary

Concurrent large credit portfolio losses are more probable than small ones, with significant correlations found even in smaller portfolios. Idiosyncratic effects are minimal, posing risks to financial stability.

Area of Science:

Quantitative Finance
Financial Risk Management
Econometrics

Background:

Understanding portfolio loss dependencies is crucial for financial stability.
Traditional models often assume Gaussian dependence, which may not reflect reality.
Non-overlapping credit portfolios present unique challenges in dependence modeling.

Purpose of the Study:

To analyze the statistical dependence structure of concurrent losses in two non-overlapping credit portfolios.
To investigate the impact of portfolio size on loss correlations.
To assess the role of idiosyncratic effects in portfolio losses.

Main Methods:

Estimation of empirical pairwise copulas to capture dependence structures.
Analysis of loss correlations across portfolios of varying sizes.

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Evaluation of idiosyncratic versus systemic risk components.

Main Results:

Empirical copulas reveal strong asymmetries, indicating large concurrent losses are more likely than small ones.
Significant portfolio loss correlations are observed across large, medium, and small portfolios.
Idiosyncratic effects contributing to portfolio losses are found to be negligible.

Conclusions:

The findings challenge standard financial models and highlight the prevalence of tail dependence in credit portfolios.
The results have significant implications for investors in structured products and overall financial sector stability.
Risk management strategies need to account for asymmetric dependencies and pervasive correlations, even in smaller portfolios.