Search

In 1995, the broad aggregate M2+ grew at an annual rate of 4.5 per cent—almost twice the rate recorded in 1994—as competition from mutual funds drew less money from personal savings deposits. An adjusted M2+ aggregate, which internalizes the effect of close substitutes such as CSBs and certain mutual funds, grew by only 3.4 per cent. Gross M1 grew by 8.2 per cent during the year, reflecting an increased demand for transactions balances as market interest rates declined and as banks offered more attractive rates of interest on corporate current account balances. The robust growth of gross M1 in the second half of 1995 suggests a moderate expansion of economic activity in the first half of 1996, while moderate growth in the broad aggregates indicates a rate of monetary expansion consistent with continued low inflation. In this annual review of the monetary aggregates, the authors also introduce a new model, based on calculated deviations of M1 from its long-run demand, which suggests that inflation should remain just below the midpoint of the inflation-control target range over the next couple of years.

This article examines the incentives for banks to hold various assets on their balance sheets for use as collateral when the opportunity cost of doing so can be high. Focusing on the five-year period (2002-07) that preceded the financial crisis, it examines the choices made by financial institutions among the assets that are pledged as collateral in Canada's Large Value Transfer System. This serves as a baseline for collateral-management practices during relatively normal times. The results of this study are important for policy-makers, especially the Bank of Canada, which is concerned both about the efficient functioning of fixed-income markets and about the credit risk it ultimately bears in insuring LVTS settlement. The results suggest that relative market liquidity and market-making capacity are important factors in the choice of securities pledged as collateral in the LVTS.

This paper studies how financial shocks shape the distribution of output growth by introducing a quantile-augmented vector autoregression (QAVAR), which integrates quantile regressions into a structural VAR framework. The QAVAR preserves standard shock identification while delivering flexible, nonparametric forecasts of conditional moments and tail risk measures for gross domestic product.

In the 1970s and 1980s we found - in common with many other countries - that high and variable rates of inflation created a lot of economic damage. And it took a long time and a lot of work with various monetary policy frameworks before we got back on track.

Capital-goods imports have become an increasing source of growth for the U.S. economy. To understand this phenomenon, we build a neoclassical growth model with international trade in capital goods in which agents face exogenous paths of total factor and investment-specific productivity measures.

Non-default losses of financial market infrastructures (FMIs) have gained attention due to their potential impacts on FMIs and FMI participants, and the lack of a common approach to address them. A key question is, who should absorb these losses?

Decentralized finance surged in popularity around 2020. We explore its value and limitations and highlight some potential regulatory concerns.

Financial system vulnerabilities increase the downside risk to future GDP growth. Macroprudential tightening significantly reduces financial stability risks associated with vulnerabilities. Monetary policy faces a trade-off between financial stability and macroeconomic risks.

The Risk Amplification Macro Model (RAMM) is a new nonlinear two-country dynamic model that captures rare but severe adverse shocks. The RAMM can be used to assess the financial stability implications of both domestic and foreign-originated risk scenarios.

Dealers connect investors who want to buy or sell securities in financial markets. Over time, dealers and investors form trading networks to save time and resources. An emerging field of research investigates how networks form.