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The authors study the implications of fiscal policy behaviour for sovereign risk in a framework that determines a country’s fiscal limit, the point at which, for economic or political reasons, taxes and spending can no longer adjust to stabilize debt.

This paper investigates the effects of the continuation of globalization and technological developments on the future of national-level financial markets and trading centres, particularly in smaller countries such as Canada. We foresee the development of a single global market in the most-liquid assets based on equity-market linkages.

The authors assess the performance of the Canadian economy under a variety of interest rate rules when the zero bound on nominal interest rates can bind. Their assessment is based on numerical simulations of a dynamic stochastic general-equilibrium model in a stochastic environment. Consistent with the literature, the authors find that the probability and consequences […]

When investors redeem their fund shares for cash, fixed-income fund managers can choose whether to draw on their liquid holdings or sell bonds in the secondary market. We analyze the liquidity-management decisions of Canadian corporate bond mutual funds, focusing on the strategies they use to meet investor redemptions.

Given the influence that agents’ expectations have on key macroeconomic variables, it is surprising that very few papers have tried to extrapolate agents’ “true” expectations directly from the data. This paper presents one such approach, starting with the hypothesis that there is sluggishness in inflation and real GDP growth forecasts.

We build upon new developments in the international trade literature to isolate and quantify the long-run economic impacts of tariff changes on the United States and the global economy.

The Bank of Canada uses several short-term forecasting models for the monitoring of key foreign economies - the United States, the euro area, Japan and China. The design of the forecasting models used for each region is influenced by the level of detail required, as well as the timeliness and volatility of data. Forecasts from different models are typically combined to mitigate model uncertainty, and judgment is applied to the model forecasts to incorporate information that is not directly reflected in the most recent indicators.

Using a new data set, we examine the characteristics and dynamics of cross-border mergers and acquisitions during emerging-market financial crises, that is, so-called “fire-sale FDI.” Our findings shed fresh light on whether the transactions undertaken during crisis periods differ in fundamental ways from those undertaken during more tranquil periods.

We use graphic processing unit computing to compare Bayesian and sample theory semiparametric binary response models. Our findings show that optimal bandwidth does not outperform regular bandwidth in binary semiparametric models.

Can daycare replace parents’ time spent with children? We explore this by using data on how parents spend time and money on children and how this spending is related to their child’s development.