Fractional Cointegration and the Demand for M1 Staff Working Paper 2000-13 Greg Tkacz Using wavelets, the author estimates the fractional order of integration of a common long-run money-demand relationship whose parameters are obtained from a full-information maximum-likelihood procedure. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Monetary aggregates JEL Code(s): C, C1, C13, E, E4, E41
Testing the Pricing-to-Market Hypothesis: Case of the Transportation Equipment Industry Staff Working Paper 2000-8 Lynda Khalaf, Maral Kichian Pricing-to-market (PTM) theory suggests that monopolistic firms which export adjust their destination-specific markups in reaction to exchange rate shocks. These adjustments limit changes in the price of their exports. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Market structure and pricing JEL Code(s): C, C1, C12, C15, L, L1, L11, L16
Estimating the Fractional Order of Integration of Interest Rates Using a Wavelet OLS Estimator Staff Working Paper 2000-5 Greg Tkacz The debate on the order of integration of interest rates has long focused on the I(1) versus I(0) distinction. In this paper, we use instead the wavelet OLS estimator of Jensen (1999) to estimate the fractional integration parameters of several interest rates for the United States and Canada from 1948 to 1999. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Interest rates JEL Code(s): C, C1, C13, E, E4, E43
GAUSS™ Programs for the Estimation of State-Space Models with ARCH Errors: A User's Guide Staff Working Paper 2000-2 Maral Kichian State-space models have long been popular in explaining the evolution of various economic variables. This is mainly because they generally have more economic content than do others in their class of parsimonious models (for example, VARs). Yet, in spite of their advantages, use of these models until recently was limited by the assumption that all […] Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C3, C32, C8, C82, C87, C89
Pricing Interest Rate Derivatives in a Non-Parametric Two-Factor Term-Structure Model Staff Working Paper 1999-19 John Knight, Fuchun Li, Mingwei Yuan Diffusion functions in term-structure models are measures of uncertainty about future price movements and are directly related to the risk associated with holding financial securities. Correct specification of diffusion functions is crucial in pricing options and other derivative securities. In contrast to the standard parametric two-factor models, we propose a non-parametric two-factor term-structure model that […] Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Market structure and pricing JEL Code(s): C, C1, C14, C2, C22, G, G1, G13
Forecasting GDP Growth Using Artificial Neural Networks Staff Working Paper 1999-3 Greg Tkacz, Sarah Hu Financial and monetary variables have long been known to contain useful leading information regarding economic activity. In this paper, the authors wish to determine whether the forecasting performance of such variables can be improved using neural network models. The main findings are that, at the 1-quarter forecasting horizon, neural networks yield no significant forecast improvements. […] Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Monetary and financial indicators JEL Code(s): C, C4, C45, E, E3, E37, E4, E44
A Discussion of the Reliability of Results Obtained with Long-Run Identifying Restrictions Staff Working Paper 1998-4 Pierre St-Amant, David Tessier In a recent article, Faust and Leeper (1997) discuss reasons why inference from structural VARs identified with long-run restrictions may not be reliable. In this paper, the authors argue that there are reasons to believe that Faust and Leeper's arguments are not devastating in practice. First, simulation exercises suggest that this approach does well when […] Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C3
A Comparison of Alternative Methodologies for Estimating Potential Output and the Output Gap Staff Working Paper 1997-5 Chantal Dupasquier, Alain Guay, Pierre St-Amant In this paper, the authors survey some of the recent techniques proposed in the literature to measure the trend component of output or potential output. Given the reported shortcomings of mechanical filters and univariate approaches to estimate potential output, the paper focusses on three simple multivariate methodologies: the multivariate Beveridge-Nelson methodology (MBN), Cochrane's methodology (CO), and the structural VAR methodology with long-run restrictions applied to output (LRRO). Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C13, C5, C52, E, E5, E52
Reconsidering Cointegration in International Finance: Three Case Studies of Size Distortion in Finite Samples Staff Working Paper 1997-1 Marie-Josée Godbout, Simon van Norden This paper reconsiders several recently published but controversial results about the behaviour of exchange rates. In particular, it explores finite-sample problems in the application of cointegration tests and shows how these may have affected the conclusions of recent research. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C15, C2, C22, C3, C32, F, F3, F31
Do Mechanical Filters Provide a Good Approximation of Business Cycles? Technical Report No. 78 Alain Guay, Pierre St-Amant In this paper, the authors examine how well the Hodrick-Prescott filter (HP) and the band-pass filter recently proposed by Baxter and King (BK) extract the business-cycle component of macroeconomic time series. Content Type(s): Staff research, Technical reports Research Topic(s): Econometric and statistical methods JEL Code(s): C, C5, C52, E, E3, E32