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The prices of commodities produced in Canada have important implications for the performance of the Canadian economy and the conduct of monetary policy. The authors explain an important change to the methodology used to construct the Bank of Canada commodity price index (BCPI).

In recent years, the Canadian economy has been affected by strong movements in relative prices brought about by the surging costs of energy and non-energy commodities, with significant implications for the terms of trade, the exchange rate, and the allocation of resources across Canadian sectors and regions.

The authors use the Bank of Canada's version of the Global Economy Model, a multi-country, multi-sector dynamic stochastic general-equilibrium model with an active banking system (the BoC-GEM-FIN), to study the evolution of global current account balances following the recent global financial crisis.

The good forecasting performance of factor models has been well documented in the literature. While many studies focus on a very limited set of variables (typically GDP and inflation), this study evaluates forecasting performance at disaggregated levels to examine the source of the improved forecasting accuracy, relative to a simple autoregressive model. We use the latest revision of over 100 U.S. time series over the period 1974-2009 (monthly and quarterly data).

Many important economic variables are subject to revision. This article explains how, when, and why such revisions occur; how revisions to Canadian gross domestic product (GDP) compare with GDP revisions in some other countries; which GDP components are subject to the largest revisions; and how data revisions can affect policy decisions. The author finds that revisions to Canadian GDP tend to be smaller, on average, than those of some other countries, and that among the GDP components, exports and imports are most heavily revised.

Various papers have suggested that Price-Level targeting is a welfare improving policy relative to Inflation targeting. From a practical standpoint, this raises an important yet unanswered question: What is the optimal price index to target?

The lack of consolidated Canadian micro data on household balance sheets and expenditures has been an important impediment to empirical research into real-financial linkages in the Canadian household sector. Our paper attempts to fill this data gap by merging household balance sheet data from the Canadian Financial Monitor survey with household expenditure data from the Survey of Household Spending.

This paper uses a small-open economy model for the Canadian economy to examine the optimal Taylor-type monetary policy rule that stabilizes output and inflation in an environment where endogenous boom-bust cycles in house prices can occur.

Recent asset pricing models of limits to arbitrage emphasize the role of funding conditions faced by financial intermediaries. In the US, the repo market is the key funding market. Then, the premium of on-the-run U.S. Treasury bonds should share a common component with risk premia in other markets.