Market Expectations and Option Prices: Evidence for the Can$/US$ Exchange Rate Staff Discussion Paper 2010-2 Alejandro García, Andrei Prokopiw Security prices contain valuable information that can be used to make a wide variety of economic decisions. To extract this information, a model is required that relates market prices to the desired information, and that ideally can be implemented using timely and low-cost methods. Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods, Exchange rates, Financial markets JEL Code(s): C, C0, C00, C02, G, G1, G13
Examining Simple Joint Macroeconomic and Term-Structure Models: A Practitioner's Perspective Staff Working Paper 2007-49 David Bolder, Shudan Liu The primary objective of this paper is to compare a variety of joint models of the term structure of interest rates and the macroeconomy. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets, Interest rates JEL Code(s): C, C0, C6, E, E4, G, G1
Optimization in a Simulation Setting: Use of Function Approximation in Debt Strategy Analysis Staff Working Paper 2007-13 David Bolder, Tiago Rubin 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. Content Type(s): Staff research, Staff working papers Topic(s): Debt management, Econometric and statistical methods, Financial markets, Fiscal policy JEL Code(s): C, C0, C1, C14, C15, C5, C51, C52, C6, C61, C65, E, E6, G, G1, H, H6, H63
Modelling Term-Structure Dynamics for Risk Management: A Practitioner's Perspective Staff Working Paper 2006-48 David Bolder Modelling term-structure dynamics is an important component in measuring and managing the exposure of portfolios to adverse movements in interest rates. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets, Interest rates JEL Code(s): C, C0, C6, E, E4, G, G1
An Empirical Analysis of the Canadian Term Structure of Zero-Coupon Interest Rates Staff Working Paper 2004-48 David Bolder, Adam Metzler, Grahame Johnson 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. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets, Interest rates JEL Code(s): C, C0, C6, E, E4, G, G1
A Stochastic Simulation Framework for the Government of Canada's Debt Strategy Staff Working Paper 2003-10 David Bolder 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. Content Type(s): Staff research, Staff working papers Topic(s): Debt management, Econometric and statistical methods, Economic models JEL Code(s): C, C0, C1, C15, C5, C52, H, H6, H63
Exponentials, Polynomials, and Fourier Series: More Yield Curve Modelling at the Bank of Canada Staff Working Paper 2002-29 David Bolder, Scott Gusba 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. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets, Interest rates JEL Code(s): C, C0, C6, E, E4, G, G1
Towards a More Complete Debt Strategy Simulation Framework Staff Working Paper 2002-13 David Bolder 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. Content Type(s): Staff research, Staff working papers Topic(s): Debt management, Econometric and statistical methods, Interest rates JEL Code(s): C, C0, C5, G, G0
Risk, Entropy, and the Transformation of Distributions Staff Working Paper 2002-11 Mark Reesor, Don McLeish 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. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets, Market structure and pricing JEL Code(s): C, C0, C1, D, D8, G, G0
Asset Allocation Using Extreme Value Theory Staff Working Paper 2002-2 Younes Bensalah 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. Content Type(s): Staff research, Staff working papers Topic(s): Financial markets JEL Code(s): C, C0, C4, C5, G, G1