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
Modeling Fluctuations in the Global Demand for Commodities Staff Working Paper 2018-4 Lutz Kilian, Xiaoqing Zhou It is widely understood that the real price of globally traded commodities is determined by the forces of demand and supply. One of the main determinants of the real price of commodities is shifts in the demand for commodities associated with unexpected fluctuations in global real economic activity. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): F, F4, F44, Q, Q1, Q11, Q3, Q31, Q4, Q41, Q43
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
The Evolution of Unobserved Skill Returns in the U.S.: A New Approach Using Panel Data Staff Working Paper 2017-61 Lance Lochner, Youngmin Park, Youngki Shin Economists disagree about the factors driving the substantial increase in residual wage inequality in the United States over the past few decades. To identify changes in the returns to unobserved skills, we make a novel assumption about the dynamics of skills (especially among older workers) rather than about the stability of skill distributions across cohorts, as is standard. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Labour markets JEL Code(s): C, C2, C23, J, J2, J24, J3, J31
A Barometer of Canadian Financial System Vulnerabilities Staff Analytical Note 2017-24 Thibaut Duprey, Tom Roberts This note presents a composite indicator of Canadian financial system vulnerabilities—the Vulnerabilities Barometer. It aims to complement the Bank of Canada’s vulnerabilities assessment by adding a quantitative and synthesized perspective to the more granular (distributional) analysis presented in the Financial System Review. Content Type(s): Staff research, Staff analytical notes Topic(s): Econometric and statistical methods, Financial stability, Monetary and financial indicators JEL Code(s): C, C1, C14, C4, C40, D, D1, D14, E, E3, E32, E6, E66, F, F0, F01, G, G0, G01, G1, G15, G2, G21, H, H6, H63
Bitcoin Awareness and Usage in Canada Staff Working Paper 2017-56 Christopher Henry, Kim Huynh, Gradon Nicholls There has been tremendous discussion of Bitcoin, digital currencies and FinTech. However, there is limited empirical evidence of Bitcoin’s adoption and usage. We propose a methodology to collect a nationally representative sample using the Bitcoin Omnibus Survey (BTCOS) to track the ubiquity and usage of Bitcoin in Canada. Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C12, E, E4
Risk-Neutral Moment-Based Estimation of Affine Option Pricing Models Staff Working Paper 2017-55 Bruno Feunou, Cédric Okou This paper provides a novel methodology for estimating option pricing models based on risk-neutral moments. We synthesize the distribution extracted from a panel of option prices and exploit linear relationships between risk-neutral cumulants and latent factors within the continuous time affine stochastic volatility framework. Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods JEL Code(s): G, G1, G12
Good Volatility, Bad Volatility and Option Pricing Staff Working Paper 2017-52 Bruno Feunou, Cédric Okou Advances in variance analysis permit the splitting of the total quadratic variation of a jump diffusion process into upside and downside components. Recent studies establish that this decomposition enhances volatility predictions, and highlight the upside/downside variance spread as a driver of the asymmetry in stock price distributions. Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods JEL Code(s): G, G1, G12