PLoS ONE (Jan 2018)

Concurrent credit portfolio losses.

  • Joachim Sicking,
  • Thomas Guhr,
  • Rudi Schäfer

DOI
https://doi.org/10.1371/journal.pone.0190263
Journal volume & issue
Vol. 13, no. 2
p. e0190263

Abstract

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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.