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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 special issue discusses tools used at Bank of Canada to conduct current analysis - the collection and analysis of a broad spectrum of information to form a view of current economic activity. This analysis is a key input into the Bank’s monetary policy decision-making process.

This article examines the efforts of the major advanced countries to strengthen the international financial system in order to avoid financial crises such as those that occurred in emerging-market economies in the 1990s. These efforts have focused on crisis prevention and crisis management. The prevention of such crises has necessitated the formation of new international groups that include emerging markets in their membership. Measures have also been taken to reduce the vulnerability of countries to such crises. These measures have centered on the need for appropriate macroeconomic policies, including the need for sustainable exchange rate regimes, sound domestic financial systems, and prudent risk management. In the area of crisis management, the International Monetary Fund (IMF) has been given access to additional resources for lending to countries that experience financial crises. The IMF has also established new lending facilities for use in such circumstances. It has also been agreed that the private sector will need to play a greater role in the management of such crises in the future.

This paper introduces new weighting schemes for model averaging when one is interested in combining discrete forecasts from competing Markov-switching models. In particular, we extend two existing classes of combination schemes – Bayesian (static) model averaging and dynamic model averaging – so as to explicitly reflect the objective of forecasting a discrete outcome.

Since the early 1980s, models based on economic fundamentals have been poor at explaining the movements in the exchange rate (Messe 1990). In response to this problem, Frankel and Froot (1988) developed a model that uses two approaches to forecast the exchange rate: the fundamentalist approach, which bases the forecast on economic fundamentals, and the chartist approach, which bases the forecast on the past behaviour of the exchange rate.

We study how input-output networks affect the speed of technology adoption. In particular, we model the decision to adopt the programming language Python 3 by software packages. Python 3 provides advanced features but is not backward compatible with Python 2, which implies it comes with adoption costs.

We add agency costs as in Carlstrom and Fuerst (1997) into a two-country, two-good international business-cycle model. In our model, changes in the relative price of investment arise endogenously.

What are the effects of financial market imperfections on unemployment and vacancies in Canada? The author estimates the model of Zhang (2011) – a standard monetary dynamic stochastic general-equilibrium model augmented with explicit financial and labour market frictions – with Canadian data for the period 1984Q2–2010Q4, and uses it to examine the importance of financial shocks on labour market fluctuations in Canada.

This paper explores the extent to which factors other than commodity and energy prices may have contributed to the Canadian dollar's depreciation since the early 1970s. The variables considered include among others budgetary conditions and productivity.