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14 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

A Semiparametric Early Warning Model of Financial Stress Events

Staff Working Paper 2013-13 Ian Christensen, Fuchun Li
The authors use the Financial Stress Index created by the International Monetary Fund to predict the likelihood of financial stress events for five developed countries: Canada, France, Germany, the United Kingdom and the United States.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial stability JEL Code(s): C, C1, C12, C14, G, G0, G01, G1, G17

Jump-Diffusion Long-Run Risks Models, Variance Risk Premium and Volatility Dynamics

Staff Working Paper 2013-12 Jianjian Jin
This paper calibrates a class of jump-diffusion long-run risks (LRR) models to quantify how well they can jointly explain the equity risk premium and the variance risk premium in the U.S. financial markets, and whether they can generate realistic dynamics of risk-neutral and realized volatilities.
Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Economic models JEL Code(s): G, G1, G12, G17

The Canadian Debt-Strategy Model: An Overview of the Principal Elements

Staff Discussion Paper 2011-3 David Bolder, Simon Deeley
The Canadian Debt Strategy Model helps debt managers determine their optimal financing strategy. The model’s code and documentation are available to the public.
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