Header

UZH-Logo

Maintenance Infos

Network Valuation in Financial Systems


Barucca, Paolo; Bardoscia, Marco; Caccioli, Fabio; D'Errico, Marco; Visentin, Gabriele; Battiston, Stefano; Caldarelli, Guido (2016). Network Valuation in Financial Systems. SSRN 2795583, University of Zurich.

Abstract

We introduce a network valuation model (hereafter NEVA) for the ex-ante valuation of claims among financial institutions connected in a network of liabilities. Similar to previous work, the new framework allows to endogenously determine the recovery rate on all claims upon the default of some institutions. In addition, it also allows to account for ex-ante uncertainty on the asset values, in particular the one arising when the valuation is carried out at some time before the maturity of the claims. The framework encompasses as special cases both the ex-post approaches of Eisenberg and Noe and its previous extensions, as well as the ex-ante approaches, in the sense that each of these models can be recovered exactly for special values of the parameters. We characterize the existence and uniqueness of the solutions of the valuation problem under general conditions on how the value of each claim depends on the equity of the counterparty. Further, we define an algorithm to carry out the network valuation and we provide sufficient conditions for convergence to the maximal solution.

Abstract

We introduce a network valuation model (hereafter NEVA) for the ex-ante valuation of claims among financial institutions connected in a network of liabilities. Similar to previous work, the new framework allows to endogenously determine the recovery rate on all claims upon the default of some institutions. In addition, it also allows to account for ex-ante uncertainty on the asset values, in particular the one arising when the valuation is carried out at some time before the maturity of the claims. The framework encompasses as special cases both the ex-post approaches of Eisenberg and Noe and its previous extensions, as well as the ex-ante approaches, in the sense that each of these models can be recovered exactly for special values of the parameters. We characterize the existence and uniqueness of the solutions of the valuation problem under general conditions on how the value of each claim depends on the equity of the counterparty. Further, we define an algorithm to carry out the network valuation and we provide sufficient conditions for convergence to the maximal solution.

Statistics

Downloads

23 downloads since deposited on 27 Dec 2016
23 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Working Paper
Communities & Collections:03 Faculty of Economics > Department of Banking and Finance
Dewey Decimal Classification:330 Economics
Language:English
Date:14 June 2016
Deposited On:27 Dec 2016 08:17
Last Modified:21 Nov 2017 18:47
Series Name:SSRN
Number of Pages:16
Official URL:http://ssrn.com/abstract=2795583
Other Identification Number:merlin-id:13436

Download

Download PDF  'Network Valuation in Financial Systems'.
Preview
Filetype: PDF
Size: 459kB