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This paper provides an extensive evaluation of the performance of quantile vector autoregression (QVAR) to forecast macroeconomic risk. Generally, QVAR outperforms standard benchmark models. Moreover, QVAR and QVAR augmented with factors perform equally well. Both are adequate for modeling macroeconomic risks.

Interconnectedness among insurers and reinsurers at a global level is not well understood and may pose a significant risk to the sector, with implications for the macroeconomy. Models of the complex interactions among reinsurers and with other participants in the financial system and the real economy are at a very early stage of development.

The theory that rich economic diversity of businesses and households both affects and is shaped by economy-wide fluctuations has strong implications for monetary policy. This review places these insights in a Canadian context.

These past few months have been busy for central bankers, to say the least, and the past few days are certainly no exception. While developments on Wall Street have garnered much attention, the cost of living has also been an issue for us all, whether we're buying gas at the pumps, booking an airline ticket, or just picking up a loaf of bread at the grocery store.

This paper evaluates the effects of high-frequency uncertainty shocks on a set of low-frequency macroeconomic variables that are representative of the U.S. economy. Rather than estimating models at the same common low-frequency, we use recently developed econometric models, which allows us to deal with data of different sampling frequencies.

Using a nonlinear New Keynesian model with a financial accelerator, we show that financial frictions generate large state-dependent amplification effects. Shocks propagate more strongly in periods of financial stress. We propose an endogenous regime-switching DSGE framework for efficient estimation and improved model fit.

Central banks must cope with considerable uncertainty about what will happen in the economy when formulating monetary policy. This article describes the different types of uncertainty that arise and looks at examples of uncertainty that the Bank has recently encountered. It then reviews the strategies employed by the Bank to deal with this problem. The other articles in this special issue focus on three of these major strategies.

Ambler describes three new channels through which inflation affects economic welfare in New Keynesian models. These channels were absent from traditional analyses and may have caused researchers to underestimate the costs associated with variable inflation, even at relatively low levels of inflation. The article concludes with a preliminary assessment of the quantitative importance of the new channels and their significance for monetary policy.

Technical data relating to the 2001 target renewal.

Understanding what causes the exchange rate to move has been on ongoing challenge for economists. Despite extensive research, traditional macro models of exchange rate determination—with the exception of the Bank of Canada's exchange rate equation—have typically not fared well, motivating economists to explore new ways to model exchange rate movements that incorporate more complex and realistic settings. Within the context of the sharp appreciation of the Canadian dollar in 2003 and 2004, Bailliu and King review the macroeconomic models of exchange rates, as well as the micro-structure studies that highlight the importance of trading mechanisms, information asymmetry, and investor heterogeneity for explaining short-term dynamics in exchange rates. In addition to summarizing the current state of knowledge, they highlight recent advances and identify promising alternative approaches.