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The neutral rate serves as a benchmark for measuring monetary stimulus and provides a medium- to long-run anchor for the real policy rate. Global neutral rate estimates have been falling over the past few decades. Factors such as population aging, high corporate savings, and low trend productivity growth are likely to continue supporting a low global neutral rate. These global factors as well as domestic factors are exerting downward pres-sure on the Canadian real neutral rate, which is estimated to be between 0.5 to 1.5 per cent. This low neutral rate has important implications for monetary policy and financial stability.

The Bank of Canada made changes to several of the tools that make up its framework for operations and liquidity provision. These changes came about after a comprehensive re-view of the framework and are designed to help the Bank better achieve its objectives of reinforcing the target for the overnight rate and supporting the well-functioning of Cana-dian financial markets under normal market conditions.

We use narrative evidence along with a novel database of real-time data and forecasts from the Bank of Canada's staff economic projections from 1974 to 2015 to construct a new measure of monetary policy shocks and estimate the effects of monetary policy in Canada.

In an economy where production takes place in multiple stages and is subject to financial frictions, how firms finance intermediate inputs matters for aggregate outcomes. This paper focuses on trade credit—the lending and borrowing of input goods between firms—and quantifies its aggregate impacts during the Great Recession.

I examine the impact of non-regulated lenders in the mortgage market using a dynamic stochastic general equilibrium (DSGE) model. My model features two types of financial intermediaries that differ in three ways: (i) only regulated intermediaries face a capital requirement, (ii) non-regulated intermediaries finance themselves by selling securities and cannot accept deposits, and (iii) non-regulated intermediaries face a more elastic demand.

This paper proposes a novel asymptotic least-squares estimator of multi-country Gaussian dynamic term structure models that is easy to compute and asymptotically efficient, even when the number of countries is relatively large—a situation in which other recently proposed approaches lose their tractability.

We investigate the risks and opportunities to the mandates of central banks arising from fintech developments.

We model the introduction of a new payment method, e.g., e-money, that competes with an existing payment method, e.g., cash. The new payment method involves relatively lower per-transaction costs for both buyers and sellers, but sellers must pay a fixed fee to accept the new payment method.

We compare the Federal Reserve’s asset purchase programs with those implemented by the Bank of England and the Swedish Riksbank, and the Swiss National Bank’s reserve expansion program.

Monetary policy implementation could, in theory, be constrained by deeply negative rates since overnight market participants may have an incentive to invest in cash rather than lend to other participants.