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The goal of this paper is to shed light on the nature of the monetary transmission mechanism. Specifically, we attempt to tackle two problems in standard limited-participation models: (1) the interest rate liquidity effect is not as persistent as in the data; and (2) some nominal variables are unrealistically volatile. To address these problems, we […]

Underlying wage growth has fallen short of what would be consistent with an economy operating with little or no slack. While many factors could explain this weakness, the availability of additional labour resources from informal (“gig”) work—not fully captured in standard measures of employment and hours worked—may play a role.

Following the seminal contribution of Kiyotaki and Moore (1997), the role of collateral constraints for business cycle fluctuations has been highlighted by several authors and collateralized debt is becoming a popular feature of business cycle models.

We use bid data from Government of Canada bond auctions between 1999 and 2021 to gauge the yield sensitivity of these bonds to the issuance amount. Our new metric estimates the demand function of the bidders at each auction and offers insights into the relationship between supply and yield of government bonds.

Forecasts of the price of crude oil play a significant role in the conduct of monetary policy, especially for commodity producers such as Canada. This article presents a range of recently developed forecasting models that, when pooled together, can generate, on average, more accurate forecasts of the price of oil than the oil futures curve. It also illustrates how policy-makers can evaluate the risks associated with the baseline oil price forecast and how they can determine the causes of past oil price fluctuations.

Although the global financial system continues to recover gradually from the unprecedented dislocations experienced in recent years, significant downside risks remain. Market concerns over acute fiscal strains in some euro-area countries have intensified sharply in recent weeks.

FSR Highlights - December 2010

We introduce generalized autoregressive gamma (GARG) processes, a class of autoregressive and moving-average processes in which each conditional moment dynamic is driven by a different and identifiable moving average of the variable of interest. We show that using GARG processes reduces pricing errors by substantially more than using existing autoregressive gamma processes does.

This paper discusses reputational risk in the context of central banking and explains why it matters to central banks. It begins with a general discussion of reputational risk within the broader framework of risk management.

We document that, across households, the money consumption ratio increases with age and decreases with consumption, and that there has been a large increase in the money consumption ratio during the recent era of very low interest rates. We construct an overlapping generations (OLG) model of money holdings for transaction purposes subject to age (older households use more money), cohort (younger generations are exposed to better transaction technology), and time effects (nominal interest rates affect money holdings).

Notwithstanding a resurgence in research on out-of-sample forecasts of the price of oil in recent years, there is one important approach to forecasting the real price of oil which has not been studied systematically to date.