Observations on industry practice in the construction of large correlation structures for risk and capital margins

Observations on industry practice in the construction of large correlation structures for risk... This is a practical paper, concerned with certain existing industry practices used to factor large correlation matrices into estimates of variance of total portfolio liabilities, and hence into risk, and possibly capital margins, and the extent to which those practices are theoretically sound. Two such practices are examined, and the results of this enquiry are largely negative. One practice appears to be fatally flawed. It is found to produce an estimated variance of total liabilities from the variance of subsets of the total that is not consistent with any particular correlation matrix between those subsets other than in trivial circumstances. The other approach lacks the support of any formulated stochastic model of the liabilities. While such a model may exist (as yet unformulated), the author has not succeeded in identifying it. The “most obvious” contender has been tested, and found wanting. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png European Actuarial Journal Springer Journals

Observations on industry practice in the construction of large correlation structures for risk and capital margins

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Publisher
Springer Journals
Copyright
Copyright © 2018 by EAJ Association
Subject
Mathematics; Quantitative Finance; Financial Services; Applications of Mathematics; Game Theory, Economics, Social and Behav. Sciences
ISSN
2190-9733
eISSN
2190-9741
D.O.I.
10.1007/s13385-018-0173-7
Publisher site
See Article on Publisher Site

Abstract

This is a practical paper, concerned with certain existing industry practices used to factor large correlation matrices into estimates of variance of total portfolio liabilities, and hence into risk, and possibly capital margins, and the extent to which those practices are theoretically sound. Two such practices are examined, and the results of this enquiry are largely negative. One practice appears to be fatally flawed. It is found to produce an estimated variance of total liabilities from the variance of subsets of the total that is not consistent with any particular correlation matrix between those subsets other than in trivial circumstances. The other approach lacks the support of any formulated stochastic model of the liabilities. While such a model may exist (as yet unformulated), the author has not succeeded in identifying it. The “most obvious” contender has been tested, and found wanting.

Journal

European Actuarial JournalSpringer Journals

Published: Jun 5, 2018

References

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