C0 - General
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Examining Simple Joint Macroeconomic and Term-Structure Models: A Practitioner's Perspective
The primary objective of this paper is to compare a variety of joint models of the term structure of interest rates and the macroeconomy. -
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. -
Modelling Term-Structure Dynamics for Risk Management: A Practitioner's Perspective
Modelling term-structure dynamics is an important component in measuring and managing the exposure of portfolios to adverse movements in interest rates. -
An Empirical Analysis of the Canadian Term Structure of Zero-Coupon Interest Rates
Zero-coupon interest rates are the fundamental building block of fixed-income mathematics, and as such have an extensive number of applications in both finance and economics. -
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. -
Exponentials, Polynomials, and Fourier Series: More Yield Curve Modelling at the Bank of Canada
This paper continues the work started by Bolder and Stréliski (1999) and considers two alternative classes of models for extracting zero-coupon and forward rates from a set of observed Government of Canada bond and treasury-bill prices. -
Towards a More Complete Debt Strategy Simulation Framework
An effective technique governments use to evaluate the desirability of different financing strategies involves stochastic simulation. This approach requires the postulation of the future dynamics of key macroeconomic variables and the use of those variables in the construction of a debt charge distribution for each individual financing strategy. -
Risk, Entropy, and the Transformation of Distributions
The exponential family, relative entropy, and distortion are methods of transforming probability distributions. We establish a link between those methods, focusing on the relation between relative entropy and distortion. -
Asset Allocation Using Extreme Value Theory
This paper examines asset allocation strategies in an extreme value at risk (VaR) framework in which the risk measure is the p-quantile from the extreme value distribution. The main focus is on the allocation problem faced by an extremely risk-averse institution, such as a central bank.
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