Central Counterparty Default Waterfalls and Systemic Loss

B-Tier
Journal: Journal of Financial and Quantitative Analysis
Year: 2023
Volume: 58
Issue: 8
Pages: 3577-3612

Authors (3)

Ghamami, Samim (not in RePEc) Paddrik, Mark (Government of the United State...) Zhang, Simpson (not in RePEc)

Score contribution per author:

0.670 = (α=2.01 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Central counterparty (CCP) default waterfalls act as the last lines of defense in over-the-counter markets by managing and allocating resources to cover payment defaults. This article examines the impact of variations in waterfall design on financial system losses in the presence of payment network dependencies and frictions in the cleared and noncleared portion of the system. Through the development of a structural model, we draw several theoretical conclusions about the effectiveness of CCP default waterfalls under severe payment stress. These findings are empirically quantified by testing the model using supervisory data for the U.S. credit default swap market.

Technical Details

RePEc Handle
repec:cup:jfinqa:v:58:y:2023:i:8:p:3577-3612_12
Journal Field
Finance
Author Count
3
Added to Database
2026-01-28