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We propose a new test for a multivariate parametric conditional distribution of a vector of variables y_t given a conditional vector x_t.

This paper examines the transmission of U.S. real and financial shocks to Canada and, in particular, the role of financial frictions in affecting the transmission of these shocks. These questions are addressed within the Bank of Canada's Global Economy Model (de Resende et al. forthcoming), a dynamic stochastic general-equilibrium model with an active banking sector and a detailed role for financial frictions.

The effects of global energy-price shocks on retail energy prices in Canada are examined. More specifically, the author looks at the response of the consumer price indexes for gasoline, heating oil, natural gas, and electricity in Canada to movements in world crude oil prices.

Loan-level data on the uncollateralized overnight loan market is generated using payment data from Canada's Large Value Transfer System (LVTS) and a modified version of the methodology proposed in Furfine (1999). There were on average just under 100 loans extended in this market each day from March 2004 to March 2006 for a total daily value of about $5 billion.

This paper studies the interdependence between fiscal and monetary policies, and their joint role in the determination of the price level.

This paper finds that Government of Canada benchmark bonds tend to be more illiquid over the subsequent month when there is a large increase in government debt supply. The result is both statistically and economically significant, stronger for the long-term than the short-term sector, and is robust when other macro factors are controlled for.

We introduce the Homoscedastic Gamma [HG] model where the distribution of returns is characterized by its mean, variance and an independent skewness parameter under both measures. The model predicts that the spread between historical and risk-neutral volatilities is a function of the risk premium and of skewness.

Since the autumn of 1997, the regional offices of the Bank of Canada have conducted quarterly consultations with businesses across Canada. These consultations, summarized in the Business Outlook Survey (BOS), are structured around a survey questionnaire that covers topics of importance to the Bank, notably business activity, pressures on production capacity, prices and inflation, and credit conditions.

In this article, the authors build on the framework used in the Bank of Canada's Financial System Review to assess the evolution of household indebtedness and financial vulnerabilities in response to changing economic conditions. To achieve this, they first compare two microdata sets generated by Ipsos Reid's Canadian Financial Monitor and Statistics Canada's Survey of Financial Security. They find that the surveys are broadly comparable, despite methodological differences. This enables them to use the combined information content for the identification of the threshold value of the debt-service ratio (DSR). The article then presents an innovative framework that uses household-level microdata to simulate changes in the distribution of the DSR under various stress scenarios. The authors show how this framework can be used by analyzing the effects of two different scenarios on the distribution of the debt-service ratio and the impact on vulnerable households. This tool will enable researchers to refine their analyses of current risks to the financial health of Canadian households. The article concludes with comments on future directions for refining the Bank's analyses of household sector risk.

The Canadian financial system comprises financial markets, financial institutions, and the clearing and settlement systems.