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Computing valuation adjustments for counterparty credit risk using a modified supervisory approach
Büchel, Patrick, Kratochwil, Michael
und Rösch, Daniel
(2020)
Computing valuation adjustments for counterparty credit risk using a modified supervisory approach.
Review of Derivatives Research 23 (3), S. 273-322.
Veröffentlichungsdatum dieses Volltextes: 17 Dez 2020 06:49
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.44316
Zusammenfassung
Considering counterparty credit risk (CCR) for derivatives using valuation adjustments (CVA) is a fundamental and challenging task for entities involved in derivative trading activities. Particularly calculating the expected exposure is time consuming and complex. This paper suggests a fast and simple semi-analytical approach for exposure calculation, which is a modified version of the new ...
Considering counterparty credit risk (CCR) for derivatives using valuation adjustments (CVA) is a fundamental and challenging task for entities involved in derivative trading activities. Particularly calculating the expected exposure is time consuming and complex. This paper suggests a fast and simple semi-analytical approach for exposure calculation, which is a modified version of the new regulatory standardized approach (SA-CCR). Hence, it conforms with supervisory rules and IFRS 13. We show that our approach is applicable to multiple asset classes and derivative products, and to single transactions as well as netting sets.
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Details
| Dokumentenart | Artikel | ||||
| Titel eines Journals oder einer Zeitschrift | Review of Derivatives Research | ||||
| Verlag: | Springer | ||||
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| Ort der Veröffentlichung: | NEW YORK | ||||
| Band: | 23 | ||||
| Nummer des Zeitschriftenheftes oder des Kapitels: | 3 | ||||
| Seitenbereich: | S. 273-322 | ||||
| Datum | 14 Januar 2020 | ||||
| Institutionen | Wirtschaftswissenschaften > Institut für Betriebswirtschaftslehre Wirtschaftswissenschaften > Institut für Betriebswirtschaftslehre > Lehrstuhl für Statistik und Risikomanagement (Prof. Dr. Rösch) | ||||
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| Klassifikation |
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| Stichwörter / Keywords | STOCHASTIC VOLATILITY; MODEL; Counterparty credit risk; Credit valuation adjustments (CVA); Credit exposure; Standardized approach for measuring counterparty credit risk exposures (SA-CCR) | ||||
| Dewey-Dezimal-Klassifikation | 300 Sozialwissenschaften > 330 Wirtschaft 300 Sozialwissenschaften > 330 Wirtschaft | ||||
| Status | Veröffentlicht | ||||
| Begutachtet | Ja, diese Version wurde begutachtet | ||||
| An der Universität Regensburg entstanden | Zum Teil | ||||
| URN der UB Regensburg | urn:nbn:de:bvb:355-epub-443168 | ||||
| Dokumenten-ID | 44316 |
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