Fitting a distribution to Value-at-Risk and Expected Shortfall, with an application to covered bonds
Dirk Tasche

TL;DR
This paper develops methods to fit distributions to Value-at-Risk and Expected Shortfall for covered bonds, analyzing their loss characteristics and the impact of asset encumbrance on senior unsecured debt risk.
Contribution
It introduces one- and two-asset structural models for covered bonds and senior debt, highlighting calibration challenges and proposing a risk-adjusted one-asset model.
Findings
Two-asset models may be impossible to calibrate exactly.
One-asset models can incorporate risk via encumbrance ratio adjustments.
Covered bonds have historically been very safe investments.
Abstract
Covered bonds are a specific example of senior secured debt. If the issuer of the bonds defaults the proceeds of the assets in the cover pool are used for their debt service. If in this situation the cover pool proceeds do not suffice for the debt service, the creditors of the bonds have recourse to the issuer's assets and their claims are pari passu with the claims of the creditors of senior unsecured debt. Historically, covered bonds have been very safe investments. During their more than two hundred years of existence, investors never suffered losses due to missed payments from covered bonds. From a risk management perspective, therefore modelling covered bonds losses is mainly of interest for estimating the impact that the asset encumbrance by the cover pool has on the loss characteristics of the issuer's senior unsecured debt. We explore one-period structural modelling approaches…
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