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This paper evaluates the performance of static and dynamic factor models for forecasting Canadian real output growth and core inflation on a quarterly basis. We extract the common component from a large number of macroeconomic indicators, and use the estimates to compute out-of-sample forecasts under a recursive and a rolling scheme with different window sizes.

Donald Gow had a great interest in public administration and in budgetary reform in the federal government.1 He was one in a long line of Queen's professors who have focused on various budgetary matters at the federal level.

The last few weeks have been a time of turbulence in financial markets. In times such as these, it is common for people to focus on day-by-day or even hour-by-hour events, and to lose sight of the future. But tonight, I want to focus on the future; specifically, the future of inflation targeting in Canada.

This paper examines the relationship between volatility shocks and preference shocks in an analytically tractable endogenous growth model with recursive preferences and stochastic volatility. I show that there exists an explicit mapping between volatility shocks and preference shocks, and a rise in volatility generates the same impulse responses of macroeconomic aggregates as a negative preference shock.

Central counterparties can make over-the-counter markets more resilient and reduce systemic risk by mitigating and managing counterparty credit risk. These benefits are maximized when access to central counterparties is available to a wide range of market participants. In an over-the-counter market, there is an important trade-off between risk and competition. A model of an over-the-counter market shows how risk and competition could be influenced by the incentives of market participants as they move to central clearing. In a centrally cleared market, there may be less risk when participation is high. This helps to explain why regulators have put in place requirements for fair, open and risk-based access criteria.

Extreme value theory (EVT) has been applied in fields such as hydrology and insurance. It is a tool used to consider probabilities associated with extreme and thus rare events. EVT is useful in modelling the impact of crashes or situations of extreme stress on investor portfolios.

This article provides an overview of the growth of Canadian-dollar-denominated assets in official foreign reserves. Based on International Monetary Fund data and on internal Bank of Canada analysis, we estimate that the total reserve holdings of Canadian-dollar assets increased from negligible levels before 2008 to around US$200 billion in the third quarter of 2013. We discuss the determinants of this increase, as well as its potential impact on Canadian debt markets, for example, lower yields and therefore reduced financing costs for the Government of Canada, and the possible negative impact on market liquidity.

This paper contributes to the debate on fiscal multipliers, in the context of a structural model. I estimate a micro-founded dynamic stochastic general equilibrium model, that features a rich fiscal policy block and a transmission mechanism for government spending shocks, using Bayesian techniques for US data.

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.