Search

Can monetary policy be used to promote financial stability? We answer this question by estimating the impact of a monetary policy shock on private-sector leverage and the likelihood of a financial crisis. Impulse responses obtained from a panel VAR model of 18 advanced countries suggest that the debt-to-GDP ratio rises in the short run following an unexpected tightening in monetary policy.

An effective technique governments use to evaluate the desirability of different financing strategies involves stochastic simulation. This approach requires the postulation of the future dynamics of key macroeconomic variables and the use of those variables in the construction of a debt charge distribution for each individual financing strategy.

We survey several key mechanisms that explain the composition of international capital flows: foreign direct investment, foreign portfolio investment and debt flows (bank loans and bonds). In particular, we focus on the following market frictions: asymmetric information in capital markets and exposure to liquidity shocks.

The authors address empirically the implications of structural breaks in the variance-covariance matrix of inflation and import prices for changes in pass-through.

We measure consumers’ use of cash by harmonizing payment diary surveys from seven countries. The seven diary surveys were conducted in 2009 (Canada), 2010 (Australia), 2011 (Austria, France, Germany and the Netherlands), and 2012 (the United States).

Pricing-to-market (PTM) theory suggests that monopolistic firms which export adjust their destination-specific markups in reaction to exchange rate shocks. These adjustments limit changes in the price of their exports.

The authors evaluate whether an assortment of simple rules could improve how the Bank of Canada implements its inflation-targeting monetary policy. They focus on measuring the correlation between the deviations of inflation from the target and the lagged deviations of rule recommendations from the actual policy interest rate.

In this paper, the author describes reduced-form linear and non-linear econometric models developed to forecast and analyze quarterly data on output growth in the Canadian manufacturing sector from 1981 to 2003.

Latency delays—known as “speed bumps”—are an intentional slowing of order flow by exchanges. Supporters contend that delays protect market makers from high-frequency arbitrage, while opponents warn that delays promote “quote fading” by market makers. We construct a model of informed trading in a fragmented market, where one market operates a conventional order book and the other imposes a latency delay on market orders.

We propose a drifting-coefficient model to empirically study the effect of money on output growth in Canada and to examine the role of prevailing financial conditions for that relationship. We show that such a time-varying approach can be a useful way of modelling the impact of money on growth, and can partly reconcile the lack of concensus in the literature on the question of whether money affects growth.