Tail Risk in a Retail Payment System: An Extreme-Value Approach

Hector Perez Saiz (), Blair Williams and Gabriel Xerri

Discussion Papers from Bank of Canada

Abstract: The increasing importance of risk management in payment systems has led to the development of an array of sophisticated tools designed to mitigate tail risk in these systems. In this paper, we use extreme value theory methods to quantify the level of tail risk in the Canadian retail payment system (ACSS) for the period from 2002 to 2015. Our analysis shows that tail risk has been increasing over the years, but the pace of growth has been reduced towards the end of our data sample, which suggests a slower rate of growth of collateral required to cover that risk.

Keywords: Econometric and statistical methods; Financial stability; Payment clearing and settlement systems (search for similar items in EconPapers)
JEL-codes: C58 G21 G23 (search for similar items in EconPapers)
Pages: 27 pages
Date: 2018
New Economics Papers: this item is included in nep-pay and nep-rmg
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Persistent link: https://EconPapers.repec.org/RePEc:bca:bocadp:18-2

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