Econometric and statistical methods
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A General Approach to Recovering Market Expectations from Futures Prices with an Application to Crude Oil
Futures markets are a potentially valuable source of information about price expectations. Exploiting this information has proved difficult in practice, because time-varying risk premia often render the futures price a poor measure of the market expectation of the price of the underlying asset. -
Dating Systemic Financial Stress Episodes in the EU Countries
This paper introduces a new methodology to date systemic financial stress events in a transparent, objective and reproducible way. The financial cycle is captured by a monthly country-specific financial stress index. -
Measuring Systemic Risk Across Financial Market Infrastructures
We measure systemic risk in the network of financial market infrastructures (FMIs) as the probability that two or more FMIs have a large credit risk exposure to the same FMI participant. -
Predictive Ability of Commodity Prices for the Canadian Dollar
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. -
The Dynamics of Capital Flow Episodes
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. -
Understanding Firms’ Inflation Expectations Using the Bank of Canada’s Business Outlook Survey
Inflation expectations are a key determinant of actual and future inflation and thus matter for the conduct of monetary policy. We study how firms form their inflation expectations using quarterly firm-level data from the Bank of Canada’s Business Outlook Survey, spanning the 2001 to 2015 period. -
Macroeconomic Uncertainty Through the Lens of Professional Forecasters
We analyze the evolution of macroeconomic uncertainty in the United States, based on the forecast errors of consensus survey forecasts of different economic indicators. Comprehensive information contained in the survey forecasts enables us to capture a real-time subjective measure of uncertainty in a simple framework.
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