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3030 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

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 Role of Expenditure Switching in the Global Imbalance Adjustment

Staff Working Paper 2010-16 Wei Dong
In theory, nominal exchange rate movements can lead to “expenditure switching” when they generate changes in the relative prices of goods across countries. This paper explores whether the expenditure-switching role of exchange rates has changed in the current episode of significant global imbalances.
Content Type(s): Staff research, Staff working papers Research Topic(s): Exchange rates, International topics JEL Code(s): F, F3, F4
August 23, 2004

The Evolution of Liquidity in the Market for Government of Canada Bonds

Using turnover ratios, Anderson and Lavoie describe the recent evolution of liquidity in various secondary government bond markets, focusing specifically on the market for Government of Canada securities. They attribute much of the recent variation in liquidity to such cyclical factors as changes in the interest rate environment and investors' appetite for risk, as well as developments in equity markets in the late 1990s. They also examine longer-term structural and policy-related trends, including the rate of adoption of financial and technological innovations and the level of government borrowing and debt-management initiatives.

Building New Plants or Entering by Acquisition? Estimation of an Entry Model for the U.S. Cement Industry

Staff Working Paper 2011-1 Héctor Pérez Saiz
In many industries, firms usually have two choices when expanding into new markets: They can either build a new plant (greenfield entry) or they can acquire an existing incumbent. In the U.S. cement industry, the comparative advantage (e.g., TFP or size) of entrants versus incumbents and regulatory entry barriers are important factors that determine the means of expansion.

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.
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