Search

Content Types

Research Topics

JEL Codes

Locations

Departments

Authors

Sources

Statuses

Published After

Published Before

3037 Results

Predicting Financial Stress Events: A Signal Extraction Approach

Staff Working Paper 2014-37 Ian Christensen, Fuchun Li
The objective of this paper is to propose an early warning system that can predict the likelihood of the occurrence of financial stress events within a given period of time. To achieve this goal, the signal extraction approach proposed by Kaminsky, Lizondo and Reinhart (1998) is used to monitor the evolution of a number of economic indicators that tend to exhibit an unusual behaviour in the periods preceding a financial stress event.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial stability JEL Code(s): C, C1, C14, C4, E, E3, E37, E4, E47, F, F3, F36, F37, G, G0, G01, G1, G17

Are Distorted Beliefs Too Good to be True?

Staff Working Paper 2003-4 Miroslav Misina
In a recent attempt to account for the equity-premium puzzle within a representative-agent model, Cecchetti, Lam, and Mark (2000) relax the assumption of rational expectations and in its place use the assumption of distorted beliefs. The author shows that the explanatory power of the distorted beliefs model is due to an inconsistency in the model and that an attempt to remove this inconsistency removes the model's explanatory power.
Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Financial markets JEL Code(s): D, D8, D84, G, G1, G12

Technological Change and the Education Premium in Canada: Sectoral Evidence

Staff Working Paper 2003-18 Jean Farès, Terence Yuen
It has been well documented that the education premium measured by the wage difference between university and high school graduates has remained constant over the past two decades in Canada. Despite this stable pattern at the aggregate level, skill-biased technology could have important implications for the inter-industry wage structure.
Content Type(s): Staff research, Staff working papers Research Topic(s): Labour markets JEL Code(s): J, J3, J31, O, O3, O30

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

Potential netting benefits from expanded central clearing in Canada’s fixed-income market

We assess whether more central clearing would enhance the resilience of Canadian fixed-income markets. Our analysis estimates the potential benefits of balance sheet netting under scenarios where central clearing is expanded to new participants.

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.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C2, C22, C23, C5, C53

The Power of Many: Assessing the Economic Impact of the Global Fiscal Stimulus

Staff Discussion Paper 2010-1 Carlos De Resende, René Lalonde, Stephen Snudden
The Bank of Canada Global Economy Model (BoC-GEM) is used to examine the effect of various types of discretionary fiscal policies on different regions of the globe. The BoC-GEM is a microfounded dynamic stochastic general-equilibrium global model with six regions, multiple sectors, and international linkages.

Macroeconomic Predictions Using Payments Data and Machine Learning

Staff Working Paper 2022-10 James Chapman, Ajit Desai
We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges.
Go To Page