C3 - Multiple or Simultaneous Equation Models; Multiple Variables
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Tracking Canadian Trend Productivity: A Dynamic Factor Model with Markov Switching
The author attempts to track Canadian labour productivity over the past four decades using a multivariate dynamic factor model that, in addition to the labour productivity series, includes aggregate compensation and consumption information. Productivity is assumed to switch between two regimes (the high-growth state and the low-growth state) with different trend growth rates according to […] -
The Canadian Business Cycle: A Comparison of Models
This paper examines the ability of linear and nonlinear models to replicate features of real Canadian GDP. We evaluate the models using various business-cycle metrics. -
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. -
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.