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3026 Results

May 16, 2000

Recent Developments in the Monetary Aggregates and Their Implications

Narrow Money—Transactions Money The growth rate of the narrow monetary aggregates picked up in 1999, reflecting the expansion in economic activity and the stabilization of interest rates. The sharp acceleration of the narrow aggregates in recent months suggests buoyant growth in GDP in coming quarters. Signs of a possible rise in inflation are also emerging. Over the longer run, for inflation to remain in the Bank's 1 to 3 per cent target range, the growth of narrow money would have to slow down from its current pace. In 1999, the growth rate of M1 also began to converge with that of the other narrow aggregates, M1+ and M1++. This suggests that the influence of the special factors that have been affecting the growth rate of M1 has diminished. Broad Money—"Store of Value" Household savings represent deferred consumption, and therefore the broad monetary aggregate provides information about future spending and, hence, inflation. In 1999, the very broad measure of money, M2++, grew at much the same rate as it did in 1998. This outcome is in line with inflation remaining in the inflation-control target range over the next couple of years.

Portfolio Considerations in Differentiated Product Purchases: An Application to the Japanese Automobile Market

Staff Working Paper 2011-27 Naoki Wakamori
Consumers often purchase more than one differentiated product, assembling a portfolio, which might potentially affect substitution patterns of demand and, as a consequence, oligopolistic firms’ pricing strategies.
Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Market structure and pricing JEL Code(s): D, D4, L, L5, Q, Q5

Nowcasting BRIC+M in Real Time

Emerging-market economies have become increasingly important in driving global GDP growth over the past 10 to 15 years. This has made timely and accurate assessment of current and future economic activity in emerging markets important for policy-makers not only in these countries but also in advanced economies.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C3, C33, C5, C53, E, E3, E37
October 26, 2018

Staff economic projections

These forecasts are provided to Governing Council in preparation for monetary policy decisions. They are released once a year with a five-year lag.

A Stochastic Simulation Framework for the Government of Canada's Debt Strategy

Staff Working Paper 2003-10 David Bolder
Debt strategy is defined as the manner in which a government finances an excess of government expenditures over revenues and any maturing debt issued in previous periods. The author gives a thorough qualitative description of the complexities of debt strategy analysis and then demonstrates that it is, in fact, a problem in stochastic optimal control.

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 Research Topic(s): Financial system regulation and policies JEL Code(s): C, C6, C63, D, D1, D14, G, G2, G28

What Drives Episodes of Settlement Fails in the Government of Canada Bond Market?

We study settlement fails for trades in the Government of Canada bond market. We find that settlement fails do not occur independently. Using a novel and comprehensive dataset, we examine three drivers of fails.

On Portfolio Separation Theorems with Heterogeneous Beliefs and Attitudes towards Risk

Staff Working Paper 2008-16 Fousseni Chabi-Yo, Eric Ghysels, Eric Renault
The early work of Tobin (1958) showed that portfolio allocation decisions can be reduced to a two stage process: first decide the relative allocation of assets across the risky assets, and second decide how to divide total wealth between the risky assets and the safe asset. This so called twofund separation relies on special assumptions on either returns or preferences.
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Market structure and pricing JEL Code(s): C, C5, C52, D, D5, D58, G, G1, G11, G12
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