Abstract
In credit portfolios (see [5] for an introduction) there are typically two types of counterparties: Listed firms and non-listed borrowers. For the first type, a time series of the firm’s equity values can be used to derive an Ability-to-Pay Process (APP), showing for every point in time the firm’s ability to pay, see e.g. [6]. For the second type, equity processes are not available, but still every borrower somehow admits an APP, depending on the customer’s assets and liabilities, sometimes known by the lending institute, but in any case imposed as an unobservable latent variable. In general, we can expect that correlations between the obligor’s APPs strongly influence the portfolio’s credit risk.
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Bluhm, C., Overbeck, L. (2003). Systematic Risk in Homogeneous Credit Portfolios. In: Bol, G., Nakhaeizadeh, G., Rachev, S.T., Ridder, T., Vollmer, KH. (eds) Credit Risk. Contributions to Economics. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-59365-9_2
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DOI: https://doi.org/10.1007/978-3-642-59365-9_2
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