On the Advantages of Disaggregated Data: Insights from Forecasting the U.S. Economy in a Data-Rich Environment Staff Working Paper 2010-10 Nikita Perevalov, Philipp Maier The good forecasting performance of factor models has been well documented in the literature. While many studies focus on a very limited set of variables (typically GDP and inflation), this study evaluates forecasting performance at disaggregated levels to examine the source of the improved forecasting accuracy, relative to a simple autoregressive model. We use the latest revision of over 100 U.S. time series over the period 1974-2009 (monthly and quarterly data). Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C50, C53, E, E3, E37, E4, E47
June 21, 2007 Modelling Payments Systems: A Review of the Literature Financial System Review - June 2007 Jonathan Chiu, Alexandra Lai Content Type(s): Publications, Financial System Review articles
November 14, 2013 Assessing Financial System Vulnerabilities: An Early Warning Approach Bank of Canada Review - Autumn 2013 Gurnain Pasricha, Tom Roberts, Ian Christensen, Brad Howell This article focuses on a quantitative method to identify financial system vulnerabilities, specifically, an imbalance indicator model (IIM) and its application to Canada. An IIM identifies potential vulnerabilities in a financial system by comparing current economic and financial data with data from periods leading up to past episodes of financial stress. It complements other sources of information - including market intelligence and regular monitoring of the economy - that policy-makers use to assess vulnerabilities. Content Type(s): Publications, Bank of Canada Review articles Research Topic(s): Econometric and statistical methods, Financial stability, Monetary and financial indicators JEL Code(s): E, E6, E66, G, G0, G01
CBDC and Monetary Policy Staff Analytical Note 2020-4 Mohammad Davoodalhosseini, Francisco Rivadeneyra, Yu Zhu Improving the conduct of monetary policy is unlikely to be the main motivation for central banks to issue a central bank digital currency (CBDC). While some argue that a CBDC could allow more complex transfer schemes or the ability to break below the zero lower bound, we find these benefits might be small or difficult to realize in practice. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Digital currencies and fintech, Monetary policy, Payment clearing and settlement systems JEL Code(s): E, E4, E41, E5, E51, E52
A No-Arbitrage Analysis of Macroeconomic Determinants of Term Structures and the Exchange Rate Staff Working Paper 2007-21 Fousseni Chabi-Yo, Jun Yang We study the joint dynamics of macroeconomic variables, bond yields, and the exchange rate in an empirical two-country New-Keynesian model complemented with a no-arbitrage term structure model. With Canadian and US data, we are able to study the impact of macroeconomic shocks from both countries on their yield curves and the exchange rate. Content Type(s): Staff research, Staff working papers Research Topic(s): Debt management, Econometric and statistical methods, Exchange rates, Financial markets, Interest rates JEL Code(s): E, E1, E12, E4, E43, F, F4, F41, G, G1, G12, G15
Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19 Staff Working Paper 2021-2 James Chapman, Ajit Desai We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C5, C53, C55, E, E3, E37, E4, E42, E5, E52
Taylor Rules in the Quarterly Projection Model Staff Working Paper 2002-1 Ben Fung, Dinah Maclean, Jamie Armour In recent years, there has been a lot of interest in Taylor-type rules. Evidence in the literature suggests that Taylor-type rules are optimal in a number of models and are fairly robust across different models. Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Monetary policy and uncertainty, Monetary policy framework JEL Code(s): E, E5, E52
A Spatial Model of Bank Branches in Canada Staff Working Paper 2020-4 Heng Chen, Matthew Strathearn Using data on bank branch locations across Canada from 2008 to 2018, we explore an interesting aspect of bank branch competition—geographic concentration. We find that bank branch density does not correlate with geographic and market concentration; however, we do find strong correlation with postal-code demographics. Content Type(s): Staff research, Staff working papers Research Topic(s): Firm dynamics, Market structure and pricing JEL Code(s): L, L1, R, R3
Indebtedness and the Household Financial Health: An Examination of the Canadian Debt Service Ratio Distribution Staff Working Paper 2008-46 Umar Faruqui The household debt-to-disposable income ratio in Canada increased from 110 per cent in 1999 to 127 per cent in 2007. This increase has raised questions about the ability of households to service their increased debt if faced with a negative economic or socio-economic shock. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial stability, Monetary and financial indicators JEL Code(s): D, D1, D11, D14, D3, D39
Central Bank Digital Currencies: A Framework for Assessing Why and How Staff Discussion Paper 2016-22 Ben Fung, Hanna Halaburda Digital currencies have attracted strong interest in recent years and have the potential to become widely adopted for use in making payments. Public authorities and central banks around the world are closely monitoring developments in digital currencies and studying their implications for the economy, the financial system and central banks. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Digital currencies and fintech, Financial services, Payment clearing and settlement systems JEL Code(s): E, E4, E41, E42