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192 Results

What’s Up with Unit Non-Response in the Bank of Canada’s Business Outlook Survey? The Effect of Staff Tenure

Staff discussion paper 2017-11 Sarah Miller, David Amirault, Laurent Martin
Since 1997, the Bank of Canada’s regional offices have been conducting the Business Outlook Survey (BOS), a quarterly survey of business conditions. Survey responses are gathered through face-to-face, confidential consultations with a sample of private sector firms representative of the various sectors, firm sizes and regions across Canada.

A Dynamic Factor Model for Commodity Prices

Staff analytical note 2017-12 Doga Bilgin, Reinhard Ellwanger
In this note, we present the Commodities Factor Model (CFM), a dynamic factor model for a large cross-section of energy and non-energy commodity prices. The model decomposes price changes in commodities into a common “global” component, a “block” component confined to subgroups of economically related commodities and an idiosyncratic price shock component.

Did the Renewable Fuel Standard Shift Market Expectations of the Price of Ethanol?

Staff working paper 2017-35 Christiane Baumeister, Reinhard Ellwanger, Lutz Kilian
It is commonly believed that the response of the price of corn ethanol (and hence of the price of corn) to shifts in biofuel policies operates in part through market expectations and shifts in storage demand, yet to date it has proved difficult to measure these expectations and to empirically evaluate this view.

Optimal Estimation of Multi-Country Gaussian Dynamic Term Structure Models Using Linear Regressions

Staff working paper 2017-33 Antonio Diez de los Rios
This paper proposes a novel asymptotic least-squares estimator of multi-country Gaussian dynamic term structure models that is easy to compute and asymptotically efficient, even when the number of countries is relatively large—a situation in which other recently proposed approaches lose their tractability.

How to Predict Financial Stress? An Assessment of Markov Switching Models

Staff working paper 2017-32 Benjamin Klaus, Thibaut Duprey
This paper predicts phases of the financial cycle by using a continuous financial stress measure in a Markov switching framework. The debt service ratio and property market variables signal a transition to a high financial stress regime, while economic sentiment indicators provide signals for a transition to a tranquil state.

Detecting Scapegoat Effects in the Relationship Between Exchange Rates and Macroeconomic Fundamentals

Staff working paper 2017-22 Lorenzo Pozzi, Barbara Sadaba
This paper presents a new testing method for the scapegoat model of exchange rates that aims to tighten the link between the theory on scapegoats and its empirical implementation. This new testing method consists of a number of steps.

A Three‐Frequency Dynamic Factor Model for Nowcasting Canadian Provincial GDP Growth

Staff discussion paper 2017-8 Tony Chernis, Gabriella Velasco, Calista Cheung
This paper estimates a three‐frequency dynamic factor model for nowcasting Canadian provincial gross domestic product (GDP). Canadian provincial GDP is released by Statistics Canada on an annual basis only, with a significant lag (11 months).

Should Central Banks Worry About Nonlinearities of their Large-Scale Macroeconomic Models?

Staff working paper 2017-21 Vadym Lepetyuk, Lilia Maliar, Serguei Maliar
How wrong could policymakers be when using linearized solutions to their macroeconomic models instead of nonlinear global solutions?

Assessing the Predictive Ability of Sovereign Default Risk on Exchange Rate Returns

Staff working paper 2017-19 Claudia Foroni, Francesco Ravazzolo, Barbara Sadaba
Increased sovereign credit risk is often associated with sharp currency movements. Therefore, expectations of the probability of a sovereign default event can convey important information regarding future movements of exchange rates.

Markov‐Switching Three‐Pass Regression Filter

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.
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