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The substantial variation in the real price of oil since 2003 has renewed interest in the question of how to forecast monthly and quarterly oil prices. There also has been increased interest in the link between financial markets and oil markets, including the question of whether financial market information helps forecast the real price of oil in physical markets.

Current turbulence in Europe is a reminder that the crisis is not over, but has merely entered a new phase. In a world awash with debt, repairing the balance sheets of banks, households and countries will take years.

The Terms-of-Trade Economic Model, or ToTEM, replaced the Quarterly Projection Model (QPM) in December 2005 as the Bank's principal projection and policy-analysis model for the Canadian economy. Benefiting from advances in economic modelling and computer power, ToTEM builds on the strengths of QPM, allowing for optimizing behaviour on the part of firms and households, both in and out of steady state, in a multi-product environment. The authors explain the motivation behind the development of ToTEM, provide an overview of the model and its calibration, and present several simulations to illustrate its key properties, concluding with some indications of how the model is expected to evolve going forward.

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.

Canada's economic performance in the first half of the 1990s was adversely affected by high premiums in interest rates that were brought on by political and economic uncertainties.

Previously reported effects of institutional quality and political risks on foreign direct investment (FDI) are mixed and, therefore, difficult to interpret. We present empirical evidence suggesting a relatively clear, statistically robust, and intuitive characterization.

In this note, we present the Commodities Factor Model (CFM), a dynamic factor model for a large cross-section of energy and non-energy commodity prices. The model decomposes price changes in commodities into a common “global” component, a “block” component confined to subgroups of economically related commodities and an idiosyncratic price shock component.

Recent data show that the use of credit cards in Canada has been increasing, while the use of cash has been declining. At the same time, only two-thirds of small or medium-sized businesses accept credit cards.

The authors present a detailed discussion of the Bank of Canada's framework for the implementation of monetary policy. As background, they provide a brief overview of the financial system in Canada, including a discussion of the financial services industry and the money market.

Central banks are still defining their approach to financial stability and are at an early stage in the development of useful models. The Bank of Canada's 2007 economic conference was organized to stimulate progress in the development of financial-stability frameworks. Among the highlights reported here are the discussions centred around three proposed frameworks: a contingent-claims-analysis framework, a semi-structural framework, and structural financial-stability models. Participants also reported on their experiences with stress-testing under the International Monetary Fund's Financial Sector Assessment Program and discussed the implications for financial stability of linkages among payment, clearing, and settlement systems.