Econometric and statistical methods
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A Consistent Test for Multivariate Conditional Distributions
We propose a new test for a multivariate parametric conditional distribution of a vector of variables yt given a conditional vector xt. -
Real Time Detection of Structural Breaks in GARCH Models
A sequential Monte Carlo method for estimating GARCH models subject to an unknown number of structural breaks is proposed. Particle filtering techniques allow for fast and efficient updates of posterior quantities and forecasts in real time. -
September 11, 2009
Understanding Corporate Bond Spreads Using Credit Default Swaps
Corporate bond spreads worldwide have widened markedly since the beginning of the credit crisis in 2007. This article examines default and liquidity risk–the main components of the corporate bond spread–for Canadian firms that issue bonds in the U.S. market, focusing in particular on their evolution during the credit crisis. They find that, during this period, the liquidity component increased more for speculative-grade bonds than it did for investment-grade bonds, consistent with a "flight-to-quality" phenomenon. An important implication of their results for policy-makers seeking to address problems in credit markets is that the liquidity risk in corporate spreads for investment and speculative bonds behaves differently than the default risk, especially during crisis episodes. -
Structural Inflation Models with Real Wage Rigidities: The Case of Canada
Real wage rigidities have recently been proposed as a way of building intrinsic persistence in inflation within the context of New Keynesian Phillips Curves. Using two recent illustrative structural models, we evaluate empirically the importance of real wage rigidities in the data and the extent to which such models provide useful information regarding price stickiness. -
Structural Multi-Equation Macroeconomic Models: Identification-Robust Estimation and Fit
Weak identification is likely to be prevalent in multi-equation macroeconomic models such as in dynamic stochastic general equilibrium setups. Identification difficulties cause the breakdown of standard asymptotic procedures, making inference unreliable. -
Simulations du ratio du service de la dette des consommateurs en utilisant des données micro
The author constructs a formal analytic framework to simulate the impact of various economic shocks on the household debt-service ratio, using data from the Canadian Financial Monitor (CFM) survey. -
Testing for Financial Contagion with Applications to the Canadian Banking System
The author proposes a new test for financial contagion based on a non-parametric measure of the cross-market correlation. The test does not depend on the assumption that the data are drawn from a given probability distribution; therefore, it allows for maximal flexibility in fitting into the data. -
Computing the Accuracy of Complex Non-Random Sampling Methods: The Case of the Bank of Canada's Business Outlook Survey
A number of central banks publish their own business conditions survey based on non-random sampling methods. The results of these surveys influence monetary policy decisions and thus affect expectations in financial markets. To date, however, no one has computed the statistical accuracy of these surveys because their respective non-random sampling method renders this assessment non-trivial. -
Assessing Indexation-Based Calvo Inflation Models
Using identification-robust methods, the authors estimate and evaluate for Canada and the United States various classes of inflation equations based on generalized structural Calvo-type models. The models allow for different forms of frictions and vary in their assumptions regarding the type of price indexation adopted by firms.