Search

Content Types

Research Topics

JEL Codes

Locations

Departments

Authors

Sources

Statuses

Published After

Published Before

3046 Results

Asset Allocation Using Extreme Value Theory

Staff Working Paper 2002-2 Younes Bensalah
This paper examines asset allocation strategies in an extreme value at risk (VaR) framework in which the risk measure is the p-quantile from the extreme value distribution. The main focus is on the allocation problem faced by an extremely risk-averse institution, such as a central bank.
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets JEL Code(s): C, C0, C4, C5, G, G1

Unanticipated Defaults and Losses in Canada's Large-Value Payments System, Revisited

Staff Discussion Paper 2007-5 Devin Ball, Walter Engert
Recent work at the Bank of Canada studied the impact of default in Canada’s large-value payments system, and concluded that participants could readily manage their potential losses (McVanel 2005). In an extension of that work, the authors use a much larger set of daily payments data – with three times as many observations – to […]

Liquidity of the Government of Canada Securities Market: Stylized Facts and Some Market Microstructure Comparisons to the United States Treasury Market

Staff Working Paper 1999-11 Toni Gravelle
The aims of this study are to examine how liquidity in the Government of Canada securities market has evolved over the 1990s and to determine what factors influence the level of liquidity in this market, with some comparisons to the U.S. Treasury securities market. We find empirical support for the hypothesis that an increase in […]
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets JEL Code(s): D, D4, G, G1, G2

Characterizing the Canadian Financial Cycle with Frequency Filtering Approaches

Staff Analytical Note 2018-34 Andrew Lee-Poy
In this note, I use two multivariate frequency filtering approaches to characterize the Canadian financial cycle by capturing fluctuations in the underlying variables with respect to a long-term trend. The first approach is a dynamically weighted composite, and the second is a stochastic cycle model.

Real-Time Nowcasting of Nominal GDP Under Structural Breaks

Staff Working Paper 2014-39 William A. Barnett, Marcelle Chauvet, Danilo Leiva-Leon
This paper provides a framework for the early assessment of current U.S. nominal GDP growth, which has been considered a potential new monetary policy target. The nowcasts are computed using the exact amount of information that policy-makers have available at the time predictions are made. However, real-time information arrives at different frequencies and asynchronously, which poses challenges of mixed frequencies, missing data and ragged edges.
June 21, 2008

Financial Market Turmoil and Central Bank Intervention

In this article, we consider central bank intervention to address financial market turmoil with a focus on the questions of why, when, and how a central bank might intervene. We set out a policy framework and identify appropriate central bank instruments to respond to extraordinary financial market turmoil, consistent with central bank policy goals and functions.
Go To Page