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The author uses a quantitative network analysis approach to assess how participants in the Large Value Transfer System (LVTS) respond to partial outages at other banks.

We construct a monthly real-time data set consisting of vintages for 1991.1-2010.12 that is suitable for generating forecasts of the real price of oil from a variety of models.

Over the past 10 years, financial firms have increased the size of their positions in the oil futures market. At the same time, oil prices have increased dramatically.

In emerging-market economies, real exchange rate adjustment is critical for maintaining a sustainable current account position and thereby for helping to reduce macroeconomic and financial instability.

Since the financial crisis, attention has focused on central counterparties (CCPs) as a solution to systemic risk for a variety of financial markets, ranging from repurchase agreements and options to swaps.

We address some of the key questions that arise in forecasting the price of crude oil. What do applied forecasters need to know about the choice of sample period and about the tradeoffs between alternative oil price series and model specifications?

The purpose of this paper is twofold. First, we provide a detailed social accounting matrix (SAM), which incorporates the income and financial flows into the standard input-output matrix, for the Canadian economy for 2004.

Banks reliance on short-term funding has increased over time. While an effective source of financing in good times, the 2007 financial crisis has exposed the vulnerability of banks and ultimately firms to such a liability structure.

The Canadian Debt Strategy Model helps debt managers determine their optimal financing strategy. The model’s code and documentation are available to the public.

Measures of core inflation enable a central bank to distinguish price movements that are transitory and generated by non-monetary events from those that are more permanent and related to prior monetary policy decisions.