Search

This paper develops an economic framework to analyze the exchange rate of virtual currency. Three components are important: first, the current use of virtual currency to make payments; second, the decision of forward-looking investors to buy virtual currency (thereby effectively regulating its supply); and third, the elements that jointly drive future consumer adoption and merchant acceptance of virtual currency.

A vector error-correction model (VECM) that forecasts inflation between the current quarter and eight quarters ahead is found to provide significant leading information about inflation. The model focusses on the effects of deviations of M1 from its long-run demand but also includes, among other things, the influence of the exchange rate, a simple measure of the output gap and past prices.

How exactly does forward guidance influence interest rate expectations?

This issue features a summary of the Bank’s annual conference, Financial Intermediation and Vulnerabilities, which took place in October 2012, as well as two articles that present analysis of international macroeconomic coordination since the global financial crisis and the U.S. recovery from the Great Recession.

Governor Mark Carney reviews the advantages of Canada’s flexible inflation-targeting regime.

There is widespread agreement that, in the United States, higher house prices raise consumption via collateral or possibly wealth effects. The presence of similar channels in Canada would have important implications for monetary policy transmission.

Discussion of recent research into three ways that oil-futures prices can improve our understanding of current conditions and future prospects in the global market for crude oil; inflation expectations and the conduct of monetary policy: a review of recent evidence and experience; examination of the influence of various forms of economic uncertainty on the performance of different classes of monetary policy rules; how, when, and why such revisions to many important economic variables occur.

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.

Using newly matched data on US defense contracts and restricted administrative employment data, we show that the employment effects of defense procurement are costly, concentrated and slow to diffuse.