Should Central Banks Worry About Nonlinearities of their Large-Scale Macroeconomic Models? Staff working paper 2017-21 Vadym Lepetyuk, Lilia Maliar, Serguei Maliar How wrong could policymakers be when using linearized solutions to their macroeconomic models instead of nonlinear global solutions? Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, C63, C68, E, E3, E31, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission
Household Risk Assessment Model Technical report No. 106 Brian Peterson, Tom Roberts Household debt can be an important source of vulnerability to the financial system. This technical report describes the Household Risk Assessment Model (HRAM) that has been developed at the Bank of Canada to stress test household balance sheets at the individual level. Content Type(s): Staff research, Technical reports JEL Code(s): C, C0, C6, C63, C65, D, D0, D1, D14 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Monetary policy, Real economy and forecasting
The Impact of Macroprudential Housing Finance Tools in Canada: 2005–10 Staff working paper 2016-41 Jason Allen, Timothy Grieder, Brian Peterson, Tom Roberts This paper combines loan-level administrative data with household-level survey data to analyze the impact of recent macroprudential policy changes in Canada using a microsimulation model of mortgage demand of first-time homebuyers. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C63, D, D1, D14, G, G2, G28 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Monetary policy, Monetary policy tools and implementation
Are Counterparty Arrangements in Reinsurance a Threat to Financial Stability? Staff working paper 2016-39 Matt Davison, Darrell Leadbetter, Bin Lu, Jane Voll Interconnectedness among insurers and reinsurers at a global level is not well understood and may pose a significant risk to the sector, with implications for the macroeconomy. Models of the complex interactions among reinsurers and with other participants in the financial system and the real economy are at a very early stage of development. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C63, G, G1, G10, G15, G18, G2, G22, G28 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk
Housing and Tax-Deferred Retirement Accounts Staff working paper 2016-24 Anson T. Y. Ho, Jie Zhou Assets in tax-deferred retirement accounts (TDA) and housing are two major components of household portfolios. In this paper, we develop a life-cycle model to examine the interaction between households’ use of TDA and their housing decisions. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, D, D1, D14, D9, D91, E, E2, E21, H, H2, H24, R, R2, R21 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Real economy and forecasting
June 12, 2014 Stress Testing the Canadian Banking System: A System-Wide Approach Financial System Review - June 2014 Kartik Anand, Guillaume Bédard-Pagé, Virginie Traclet Stress testing is an important tool used by financial authorities and entities around the world to evaluate potential risks to the financial system. Kartik Anand, Guillaume Bédard-Pagé and Virginie Traclet discuss different stress-testing approaches, with emphasis on the innovative and analytically rigorous model developed by the Bank of Canada: the MacroFinancial Risk Assessment Framework (MFRAF). They also present the stress-test results obtained in the context of the 2013 Canada Financial Sector Assessment Program led by the International Monetary Fund, including the important contributions made by the use of MFRAF in the exercise. Content Type(s): Publications, Financial System Review articles JEL Code(s): C, C6, C63, G, G0, G01, G2, G21
August 15, 2013 Big Data Analysis: The Next Frontier Bank of Canada Review - Summer 2013 Nii Ayi Armah The formulation of monetary policy at the Bank of Canada relies on the analysis of a broad set of economic information. Greater availability of immediate and detailed information would improve real-time economic decision making. Technological advances have provided an opportunity to exploit “big data” - the vast amount of digital data from business transactions, social media and networked computers. Big data can be a complement to traditional information sources, offering fresh insight for the monitoring of economic activity and inflation. Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): C, C5, C53, C6, C63, C8, C80