C15 - Statistical Simulation Methods: General
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Macroprudential Regulation and Systemic Capital Requirements
In the aftermath of the financial crisis, there is interest in reforming bank regulation such that capital requirements are more closely linked to a bank's contribution to the overall risk of the financial system. In our paper we compare alternative mechanisms for allocating the overall risk of a banking system to its member banks. -
Real Time Detection of Structural Breaks in GARCH Models
A sequential Monte Carlo method for estimating GARCH models subject to an unknown number of structural breaks is proposed. Particle filtering techniques allow for fast and efficient updates of posterior quantities and forecasts in real time. -
Simulations du ratio du service de la dette des consommateurs en utilisant des données micro
The author constructs a formal analytic framework to simulate the impact of various economic shocks on the household debt-service ratio, using data from the Canadian Financial Monitor (CFM) survey. -
Non-Linearities, Model Uncertainty, and Macro Stress Testing
A distinguishing feature of macro stress testing exercises is the use of macroeconomic models in scenario design and implementation. It is widely agreed that scenarios should be based on "rare but plausible" events that have either resulted in vulnerabilities in the past or could do so in the future. -
Optimization in a Simulation Setting: Use of Function Approximation in Debt Strategy Analysis
The stochastic simulation model suggested by Bolder (2003) for the analysis of the federal government's debt-management strategy provides a wide variety of useful information. It does not, however, assist in determining an optimal debt-management strategy for the government in its current form. -
Stress Testing the Corporate Loans Portfolio of the Canadian Banking Sector
Stress testing, at its most general level, is an investigation of the performance of an entity under abnormal operating conditions. -
Short-Run and Long-Run Causality between Monetary Policy Variables and Stock Prices
The authors examine simultaneously the causal links connecting monetary policy variables, real activity, and stock returns. -
Common Trends and Common Cycles in Canadian Sectoral Output
The authors examine evidence of long- and short-run co-movement in Canadian sectoral output data. Their framework builds on a vector-error-correction representation that allows them to test for and compute full-information maximum-likelihood estimates of models with codependent cycle restrictions. -
A Stochastic Simulation Framework for the Government of Canada's Debt Strategy
Debt strategy is defined as the manner in which a government finances an excess of government expenditures over revenues and any maturing debt issued in previous periods. The author gives a thorough qualitative description of the complexities of debt strategy analysis and then demonstrates that it is, in fact, a problem in stochastic optimal control.
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