C - Mathematical and Quantitative Methods

• What Drives Interbank Loans? Evidence from Canada

  Staff Working Paper 2018-5 Narayan Bulusu, Pierre Guérin

  We identify the drivers of unsecured and collateralized loan volumes, rates and haircuts in Canada using the Bayesian model averaging approach to deal with model uncertainty. Our results suggest that the key friction driving behaviour in this market is the collateral reallocation cost faced by borrowers.

  Content Type(s): Staff research, Staff working papers Topic(s): Financial markets, Wholesale funding JEL Code(s): C, C5, C55, E, E4, E43, G, G2, G23

• A Calibrated Model of Intraday Settlement

  Staff Discussion Paper 2018-3 Héctor Pérez Saiz, Siddharth Untawala, Gabriel Xerri

  This paper estimates potential exposures, netting benefits and settlement gains by merging retail and wholesale payments into batches and conducting multiple intraday settlements in this hypothetical model of a single "calibrated payments system." The results demonstrate that credit risk exposures faced by participants in the system are largely dependent on their relative activity in the retail and wholesale payments systems.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods, Financial stability, Payment clearing and settlement systems JEL Code(s): C, C5, C58, G, G2, G21, G23

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

  Staff Discussion Paper 2018-2 Héctor Pérez Saiz, Blair Williams, Gabriel Xerri

  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.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods, Financial stability, Payment clearing and settlement systems JEL Code(s): C, C5, C58, G, G2, G21, G23

• Wages: Measurement and Key Drivers

  Staff Analytical Note 2018-2 Dany Brouillette, Jonathan Lachaine, Benoit Vincent

  Available sources of hourly wage data in Canada sometimes send conflicting signals about wage growth. This note thus has two objectives: first, we develop a wage measure—the wage-common—to better capture the (underlying) wage pressures reflecting the common trend across the available data sources. Second, we re-examine the relationship between wage growth and macro drivers (labour market slack and labour productivity).

  Content Type(s): Staff research, Staff analytical notes Topic(s): Econometric and statistical methods, Labour markets, Recent economic and financial developments JEL Code(s): C, C3, C38, J, J3

• Merchant Acceptance of Cash and Credit Cards at the Point of Sale

  Staff Analytical Note 2018-1 Ben Fung, Kim Huynh, Kerry Nield, Angelika Welte

  Recent data show that the use of credit cards in Canada has been increasing, while the use of cash has been declining. At the same time, only two-thirds of small or medium-sized businesses accept credit cards.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods, Financial services JEL Code(s): C, C2, D, D1, E, E4, E41