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The Terms-of-Trade Economic Model, or ToTEM, replaced the Quarterly Projection Model (QPM) in December 2005 as the Bank's principal projection and policy-analysis model for the Canadian economy. Benefiting from advances in economic modelling and computer power, ToTEM builds on the strengths of QPM, allowing for optimizing behaviour on the part of firms and households, both in and out of steady state, in a multi-product environment. The authors explain the motivation behind the development of ToTEM, provide an overview of the model and its calibration, and present several simulations to illustrate its key properties, concluding with some indications of how the model is expected to evolve going forward.

We consider structural vector autoregressions that are identified through stochastic volatility. Our analysis focuses on whether a particular structural shock can be identified through heteroskedasticity without imposing any sign or exclusion restrictions.

Repo market imbalances can be large and persistent, and can lift the cost of short-term funding in Canada, including the CORRA benchmark. Banks’ holdings of settlement balances absorbed most of the repo imbalances during QE, but have become far less central by the end of QT.

Deputy Governor Lawrence Schembri discusses the factors affecting business investment and the implications for the economic outlook.

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.

We expect global potential output growth to rise to 3 percent by 2022. Relative to the last assessment in October 2020, potential output growth has been revised up across all the regions. The range of the US neutral rate remains unchanged relative to the autumn 2020 assessment.

We examine the effects of monetary policy shocks on the Canadian housing market. Using high-frequency surprises around fixed announcement dates as an instrument in a Bayesian VAR, we estimate the responses of house prices, housing starts, building permits, resales, inventories, and mortgage purchases to a contractionary monetary policy shock. An increase in the policy rate leads to a substantial and persistent decline in average house prices. Housing starts and building permits fall, but their implied effects on the future housing stock are both slow and modest. Interpreted through the lens of market equilibrium, these results are most consistent with a stronger response of housing demand than housing supply.

Using the Bank of Canada's Currency Information Management Strategy, we analyze the network structure traced by a bank note’s travel in circulation and find that the denomination of the bank note is important in our potential understanding of the demand and use of cash.

We show how participants in Canada’s new high-value payment system save liquidity by exploiting the new gridlock resolution arrangement. The findings have important implications for the design of these systems and shed light on financial institutions’ liquidity preference.

Investors who trade based on good research are said to be the backbone of stock markets: They conduct research to discover the value of stocks and, through their trading, guide financial prices to reflect true value. What can make their job difficult is that high-speed, short-term traders could use machine learning and other technologies to infer when informed investors are trading.