Managing Adverse Dependence for Portfolios of Collateral in Financial Infrastructures Staff Working Paper 2007-25 Alejandro García, Ramazan Gençay We propose a framework that allows a portfolio manager to quantify the probability of simultaneous losses in multiple assets of a collateral portfolio. Using this framework, we propose a methodology to conduct stress tests on the market value of the portfolio of collateral when undesirable extreme dependence occurs. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets, Financial stability JEL Code(s): C, C1, C10, G, G0, G00, G1, G10
A No-Arbitrage Analysis of Macroeconomic Determinants of Term Structures and the Exchange Rate Staff Working Paper 2007-21 Fousseni Chabi-Yo, Jun Yang We study the joint dynamics of macroeconomic variables, bond yields, and the exchange rate in an empirical two-country New-Keynesian model complemented with a no-arbitrage term structure model. With Canadian and US data, we are able to study the impact of macroeconomic shocks from both countries on their yield curves and the exchange rate. Content Type(s): Staff research, Staff working papers Topic(s): Debt management, Econometric and statistical methods, Exchange rates, Financial markets, Interest rates JEL Code(s): E, E1, E12, E4, E43, F, F4, F41, G, G1, G12, G15
Multivariate Realized Stock Market Volatility Staff Working Paper 2007-20 Gregory Bauer, Keith Vorkink We present a new matrix-logarithm model of the realized covariance matrix of stock returns. The model uses latent factors which are functions of both lagged volatility and returns. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C3, C32, C5, C53, G, G1, G14
Does Indexation Bias the Estimated Frequency of Price Adjustment? Staff Working Paper 2007-15 Maral Kichian, Oleksiy Kryvtsov We assess the implications of price indexation for estimated frequency of price adjustment in sticky price models of business cycles. These models predominantly assume that non-reoptimized prices are indexed to lagged or average inflation. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Economic models, Inflation and prices JEL Code(s): E, E3, E31, E37
Optimization in a Simulation Setting: Use of Function Approximation in Debt Strategy Analysis Staff Working Paper 2007-13 David Bolder, Tiago Rubin The stochastic simulation model suggested by Bolder (2003) for the analysis of the federal government's debt-management strategy provides a wide variety of useful information. It does not, however, assist in determining an optimal debt-management strategy for the government in its current form. Content Type(s): Staff research, Staff working papers Topic(s): Debt management, Econometric and statistical methods, Financial markets, Fiscal policy JEL Code(s): C, C0, C1, C14, C15, C5, C51, C52, C6, C61, C65, E, E6, G, G1, H, H6, H63
Evaluating Forecasts from Factor Models for Canadian GDP Growth and Core Inflation Staff Working Paper 2007-8 Frédérick Demers, Calista Cheung This paper evaluates the performance of static and dynamic factor models for forecasting Canadian real output growth and core inflation on a quarterly basis. We extract the common component from a large number of macroeconomic indicators, and use the estimates to compute out-of-sample forecasts under a recursive and a rolling scheme with different window sizes. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C3, C32, E, E3, E37
Housing Market Cycles and Duration Dependence in the United States and Canada Staff Working Paper 2007-2 Rose Cunningham, Ilan Kolet Housing wealth is a large component of total wealth and plays an important role in aggregate business cycles. In this paper, we explore data on real house price cycles at the aggregate level and city level for the United States and Canada. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C4, C41, E, E3, E32, R, R2, R21
How Far Can Forecasting Models Forecast? Forecast Content Horizons for Some Important Macroeconomic Variables Staff Working Paper 2007-1 John Galbraith, Greg Tkacz For stationary transformations of variables, there exists a maximum horizon beyond which forecasts can provide no more information about the variable than is present in the unconditional mean. Meteorological forecasts, typically excepting only experimental or exploratory situations, are not reported beyond this horizon; by contrast, little generally accepted information about such maximum horizons is available for economic variables. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C5, C53
Modelling Term-Structure Dynamics for Risk Management: A Practitioner's Perspective Staff Working Paper 2006-48 David Bolder Modelling term-structure dynamics is an important component in measuring and managing the exposure of portfolios to adverse movements in interest rates. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets, Interest rates JEL Code(s): C, C0, C6, E, E4, G, G1
October 20, 2006 MUSE: The Bank of Canada's New Projection Model of the U.S. Economy Bank of Canada Review - Autumn 2006 Marc-André Gosselin, René Lalonde, Nicolas Parent Staff projections provided for the Bank of Canada's monetary policy decision process take into account the integration of Canada's very open economy within the global economy, as well as its close real and financial linkages with the United States. To provide inputs for this projection, the Bank has developed several models, including MUSE, NEUQ (the New European Quarterly Model), and BoC-GEM (Bank of Canada Global Economy Model), to analyze and forecast economic developments in the rest of the world. The authors focus on MUSE, the model currently used to describe interaction among the principal U.S. economic variables, including gross domestic product, inflation, interest rates, and the exchange rate. Brief descriptions are also provided of NEUQ and BoC-GEM. Content Type(s): Publications, Bank of Canada Review articles Topic(s): Econometric and statistical methods, Economic models, International topics