The authors use a dynamic general-equilibrium model to study the role financial frictions play as a transmission mechanism of Canadian monetary policy, and to evaluate the real effects of exogenous credit shocks. Financial frictions, which are modelled as spreads between deposit and loan...

A vector error-correction Model (VECM) that Forecasts inflation between the current quarter and eight quarters ahead is found to privide significant leading information about inflation. The model focusses on th effects of deviations of M1 from its long-run demand but also includes, among other...

This paper examines the empirical performance of alternatives to the monetary aggregates currently published by the Bank of Canada. The results show that real M1 and real M1alpha perform about equally well in providing leading information about real output at short horizons. However, on...

The author examines the impact of economic uncertainty on the demand for money. Using a general-equilibrium theory, he argues that in a world inhabited by risk-averse agents, who are constantly making portfolio decisions against a backdrop of macroeconomic uncertainty, the demand for money is a...

The author re-examines the demand-for-money theory in an intertemporal optimization model. The demand for real money balances is derived to be a function of real income and the rates of return of all financial assets traded in the economy. Unlike the traditional money-demand relation, however,...

This paper compares the empirical performance of Canadian weighted monetary aggregates (in particular, Fisher ideal aggregates) with the current summation aggregates, for their information content and forecasting performance in terms of prices, real output and nominal spending for the period...

This paper examines the ability of a number of financial variables to predict Canadian recessions. Regarding methodology, we follow closely the technique employed by Estrella and Mishkin (1998), who use a probit model to predict U.S. recessions up to eight quarters in advance. Our main finding...