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May 6, 1995

Managing the federal government's cash balances: A technical note

In addition to its primary role as the country's central bank, the Bank of Canada also acts as the federal government's banker and financial adviser. One of the activities associated with this role as fiscal agent is managing the government's Canadian dollar balances. This function is examined in this article. The main priority is to ensure that the government has sufficient cash to meet its daily needs. This requires careful forecasting and monitoring of the government's daily receipt and expenditure flows, as well as an ongoing borrowing program to refinance maturing debt and to replenish the balances during periods when outflows, on average, exceed inflows. The cost of borrowing to raise cash balances for the government is considerably higher than the interest earned on any balances that are available "on demand." To reduce this net cost, balances in excess of those required for daily needs are invested in "term" deposits that earn a higher rate of interest than that earned on the demand balances. The net cost of holding government balances has also been reduced through the use of cash management bills, which are flexible, short-term borrowing instruments that complement the government's regular weekly issues of 3-, 6- and 12-month treasury bills.
May 15, 1999

Recent developments in the monetary aggregates and their implications

In its conduct of monetary policy, the Bank of Canada carefully monitors the pace of monetary expansion for indications about the outlook for inflation and economic activity. In recent years, a number of factors have distorted the growth of the traditional broad and narrow aggregates. In this article, the authors discuss the uncertainty surrounding the classification of deposit instruments that has resulted from the elimination of reserve requirements and from other financial innovations. They introduce two new measures of transactions balances, M1+ and M1++ (described more fully in a technical note in this issue of the Review), that internalize some of the substitutions that have occurred. They attribute the deceleration in M1 growth in 1998 partly to the declining influence of special factors, partly to a lagged response to interest rate increases in 1997 and early 1998, and partly to some temporary tightening in credit conditions in the autumn of 1998. The broad monetary aggregate M2++, which includes all personal savings deposits, life insurance annuities, and mutual funds, grew at a steady pace in 1998, presaging growth of about 4 to 5 per cent in total dollar spending and inflation inside the target range.

Foreign exchange risk premiums and global currency factors

Staff analytical note 2024-20 Ingomar Krohn, Mariel Yacolca Maguiña
Global currency risk factors continue to explain a large share of the variation in the Canadian dollar during the period following the 2008–09 global financial crisis. We show that they are also systematically important for risk premiums, and only in recent months has the role of idiosyncratic country-specific risks grown.
October 14, 2007

The Effect of China on Global Prices

The dramatic growth in China's exports of consumer goods such as clothing, toys, and electronics, and imports of primary commodities such as oil and metals is having major effects on global supply and demand. In examining China's role in global relative price changes, Francis finds that downward pressure on the relative prices of consumer goods is likely to persist as China's large labour supply continues its migration into manufacturing. Likewise, China's size and growth will also remain key drivers of global commodities demand for some time. Despite these forces, inflation-targeting central banks have the tools to keep inflation close to target, thus offsetting any persistent upward or downward inflationary pressure.

How Long is Forever in the Laboratory? Three Implementations of an Infinite-Horizon Monetary Economy

Staff working paper 2021-16 Janet Hua Jiang, Daniela Puzzello, Cathy Zhang
Standard monetary models adopt an infinite horizon with discounting. Testing these models in the lab requires implementing this horizon within a limited time frame. We compare three approaches to such an implementation and discuss their relative advantages.
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