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40 Results

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 Topic(s): Economic models, Housing JEL Code(s): C, C6, C61, D, D1, D14, D9, D91, E, E2, E21, H, H2, H24, R, R2, R21

Filling in the Blanks: Network Structure and Interbank Contagion

Staff Working Paper 2014-26 Kartik Anand, Ben Craig, Goetz von Peter
The network pattern of financial linkages is important in many areas of banking and finance. Yet bilateral linkages are often unobserved, and maximum entropy serves as the leading method for estimating counterparty exposures.
June 12, 2014

Stress Testing the Canadian Banking System: A System-Wide Approach

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.

Cash Management and Payment Choices: A Simulation Model with International Comparisons

Despite various payment innovations, today, cash is still heavily used to pay for low-value purchases. This paper develops a simulation model to test whether standard implications of the theory on cash management and payment choices can explain the use of payment instruments by transaction size.
August 15, 2013

Big Data Analysis: The Next Frontier

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.

Real-Financial Linkages in the Canadian Economy: An Input-Output Approach

Staff Working Paper 2011-14 Danny Leung, Oana Secrieru
The purpose of this paper is twofold. First, we provide a detailed social accounting matrix (SAM), which incorporates the income and financial flows into the standard input-output matrix, for the Canadian economy for 2004.

Introducing the Bank of Canada's Projection Model for the Global Economy

To complement its existing set of tools to analyze and forecast developments in the global economy, the Bank of Canada recently developed a version of the Global Projection Model (GPM) jointly with staff at the International Monetary Fund.

Monetary Policy Lag, Zero Lower Bound, and Inflation Targeting

Staff Working Paper 2009-2 Shin-Ichi Nishiyama
Although the concept of monetary policy lag has historical roots deep in the monetary economics literature, relatively little attention has been paid to the idea. In this paper, we build on Svensson's (1997) inflation targeting framework by explicitly taking into account the lagged effect of monetary policy and characterize the optimal monetary policy reaction function both in the absence and in the presence of the zero lower bound on the nominal interest rate.

The Bank of Canada's Version of the Global Economy Model (BoC-GEM)

Technical Report No. 98 René Lalonde, Dirk Muir
The Bank of Canada's version of the Global Economy Model (BoC-GEM) is derived from the model created at the International Monetary Fund by Douglas Laxton (IMF) and Paolo Pesenti (Federal Reserve Bank of New York and National Bureau of Economic Research).
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