C - Mathematical and Quantitative Methods
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Multivariate Realized Stock Market Volatility
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. -
Optimization in a Simulation Setting: Use of Function Approximation in Debt Strategy Analysis
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. -
Evaluating Forecasts from Factor Models for Canadian GDP Growth and Core Inflation
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. -
Monetary Policy Committees in Action: Is There Room for Improvement?
More than 80 central banks use a committee to take monetary policy decisions. The composition of the committee and the structure of the meeting can affect the quality of the decision making. -
Time-Consistent Control in Non-Linear Models
We show how to use optimal control theory to derive optimal time-consistent Markov-perfect government policies in nonlinear dynamic general equilibrium models, extending the result of Cohen and Michel (1988) for models with quadratic objective functions and linear dynamics. We replace private agents' costates by flexible functions of current states in the government's maximization problem. -
Housing Market Cycles and Duration Dependence in the United States and Canada
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. -
How Far Can Forecasting Models Forecast? Forecast Content Horizons for Some Important Macroeconomic Variables
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. -
Canadian City Housing Prices and Urban Market Segmentation
The authors provide a detailed empirical analysis of Canadian city housing prices. They examine the long-run relationship between city house prices in Canada from 1981 to 2005 as well as idiosyncratic relations between city prices and city-specific variables. -
Modelling Term-Structure Dynamics for Risk Management: A Practitioner's Perspective
Modelling term-structure dynamics is an important component in measuring and managing the exposure of portfolios to adverse movements in interest rates.