Pierre Guérin

Author

Staff analytical notes

Predictive Ability of Commodity Prices for the Canadian Dollar

Staff Analytical Note 2016-2 Kimberly Berg, Pierre Guérin, Yuko Imura
Recent sharp declines in commodity prices and the simultaneous depreciation of the Canadian dollar (CAD) relative to the U.S. dollar (USD) have rekindled an interest in the relationship between commodity prices and the CAD-USD exchange rate.
Content Type(s): Staff research, Staff analytical notes Research Topic(s): Econometric and statistical methods, Exchange rates

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Staff working papers

Monetary Policy Independence and the Strength of the Global Financial Cycle

Staff Working Paper 2020-25 Christian Friedrich, Pierre Guérin, Danilo Leiva-Leon
We propose a new strength measure of the global financial cycle by estimating a regime-switching factor model on cross-border equity flows for 61 countries. We then assess how the strength of the global financial cycle affects monetary policy independence, which is defined as the response of central banks' policy interest rates to exogenous changes in inflation.
Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Exchange rate regimes, Financial system regulation and policies, International financial markets, Monetary policy JEL Code(s): E, E4, E5, F, F3, F32, F4, F42, G, G1, G15, G18

What Drives Interbank Loans? Evidence from Canada

Staff Working Paper 2018-5 Narayan Bulusu, Pierre Guérin
We identify the drivers of unsecured and collateralized loan volumes, rates and haircuts in Canada using the Bayesian model averaging approach to deal with model uncertainty. Our results suggest that the key friction driving behaviour in this market is the collateral reallocation cost faced by borrowers.
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Wholesale funding JEL Code(s): C, C5, C55, E, E4, E43, G, G2, G23

Markov‐Switching Three‐Pass Regression Filter

Staff Working Paper 2017-13 Pierre Guérin, Danilo Leiva-Leon, Massimiliano Marcellino
We introduce a new approach for the estimation of high-dimensional factor models with regime-switching factor loadings by extending the linear three-pass regression filter to settings where parameters can vary according to Markov processes.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C2, C22, C23, C5, C53

What Are the Macroeconomic Effects of High-Frequency Uncertainty Shocks

Staff Working Paper 2016-25 Laurent Ferrara, Pierre Guérin
This paper evaluates the effects of high-frequency uncertainty shocks on a set of low-frequency macroeconomic variables that are representative of the U.S. economy. Rather than estimating models at the same common low-frequency, we use recently developed econometric models, which allows us to deal with data of different sampling frequencies.
Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C32, E, E3, E32, E4, E44

The Dynamics of Capital Flow Episodes

Staff Working Paper 2016-9 Christian Friedrich, Pierre Guérin
This paper proposes a novel methodology for identifying episodes of strong capital flows based on a regime-switching model. In comparison with the existing literature, a key advantage of our methodology is to estimate capital flow regimes without the need for context- and sample-specific assumptions.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, International financial markets, International topics, Monetary policy and uncertainty JEL Code(s): F, F2, F21, F3, F32, G, G1, G11

Model Averaging in Markov-Switching Models: Predicting National Recessions with Regional Data

Staff Working Paper 2015-24 Pierre Guérin, Danilo Leiva-Leon
This paper introduces new weighting schemes for model averaging when one is interested in combining discrete forecasts from competing Markov-switching models. In particular, we extend two existing classes of combination schemes – Bayesian (static) model averaging and dynamic model averaging – so as to explicitly reflect the objective of forecasting a discrete outcome.
Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C5, C53, E, E3, E32, E37

Do High-Frequency Financial Data Help Forecast Oil Prices? The MIDAS Touch at Work

Staff Working Paper 2014-11 Christiane Baumeister, Pierre Guérin, Lutz Kilian
The substantial variation in the real price of oil since 2003 has renewed interest in the question of how to forecast monthly and quarterly oil prices. There also has been increased interest in the link between financial markets and oil markets, including the question of whether financial market information helps forecast the real price of oil in physical markets.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C53, G, G1, G14, Q, Q4, Q43

Regime Switches in the Risk-Return Trade-Off

Staff Working Paper 2013-51 Eric Ghysels, Pierre Guérin, Massimiliano Marcellino
This paper deals with the estimation of the risk-return trade-off. We use a MIDAS model for the conditional variance and allow for possible switches in the risk-return relation through a Markov-switching specification.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): G, G1, G10, G12

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Bank publications

Bank of Canada Review articles

August 15, 2013

Monitoring Short-Term Economic Developments in Foreign Economies

Bank of Canada Review - Summer 2013 Russell Barnett, Pierre Guérin
The Bank of Canada uses several short-term forecasting models for the monitoring of key foreign economies - the United States, the euro area, Japan and China. The design of the forecasting models used for each region is influenced by the level of detail required, as well as the timeliness and volatility of data. Forecasts from different models are typically combined to mitigate model uncertainty, and judgment is applied to the model forecasts to incorporate information that is not directly reflected in the most recent indicators.
Content Type(s): Publications, Bank of Canada Review articles Research Topic(s): Business fluctuations and cycles JEL Code(s): E, E3, E37

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