C53 - Forecasting and Prediction Methods; Simulation Methods

• 'Lean' versus 'Rich' Data Sets: Forecasting during the Great Moderation and the Great Recession

  Staff Working Paper 2010-37 Marco J. Lombardi, Philipp Maier

  We evaluate forecasts for the euro area in data-rich and ‘data-lean' environments by comparing three different approaches: a simple PMI model based on Purchasing Managers' Indices (PMIs), a dynamic factor model with euro area data, and a dynamic factor model with data from the euro plus data from national economies (pseudo-real time data).

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C50, C53, E, E3, E37, E4, E47

• Semi-Structural Models for Inflation Forecasting

  Staff Working Paper 2010-34 Maral Kichian, Rumler Fabio, Paul Corrigan

  We propose alternative single-equation semi-structural models for forecasting inflation in Canada, whereby structural New Keynesian models are combined with time-series features in the data. Several marginal cost measures are used, including one that in addition to unit labour cost also integrates relative price shocks known to play an important role in open-economies.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): C, C1, C13, C5, C53, E, E3, E31

• On the Advantages of Disaggregated Data: Insights from Forecasting the U.S. Economy in a Data-Rich Environment

  Staff Working Paper 2010-10 Nikita Perevalov, Philipp Maier

  The good forecasting performance of factor models has been well documented in the literature. While many studies focus on a very limited set of variables (typically GDP and inflation), this study evaluates forecasting performance at disaggregated levels to examine the source of the improved forecasting accuracy, relative to a simple autoregressive model. We use the latest revision of over 100 U.S. time series over the period 1974-2009 (monthly and quarterly data).

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C50, C53, E, E3, E37, E4, E47

• Real Time Detection of Structural Breaks in GARCH Models

  Staff Working Paper 2009-31 Zhongfang He, John M. Maheu

  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.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C11, C15, C2, C22, C5, C53

• Structural Multi-Equation Macroeconomic Models: Identification-Robust Estimation and Fit

  Staff Working Paper 2009-19 Jean-Marie Dufour, Lynda Khalaf, Maral Kichian

  Weak identification is likely to be prevalent in multi-equation macroeconomic models such as in dynamic stochastic general equilibrium setups. Identification difficulties cause the breakdown of standard asymptotic procedures, making inference unreliable.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): C, C5, C52, C53, E, E3, E37

• A Structural VAR Approach to Core Inflation in Canada

  Staff Discussion Paper 2008-10 Sylvain Martel

  The author constructs a measure of core inflation using a structural vector autoregression containing oil-price growth, output growth, and inflation. This "macro-founded" measure of inflation forecasts total inflation at least as well as other, atheoretical measures.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Inflation and prices JEL Code(s): C, C5, C53, E, E3, E31

• Estimation and Inference by the Method of Projection Minimum Distance

  Staff Working Paper 2007-56 Òscar Jordà, Sharon Kozicki

  A covariance-stationary vector of variables has a Wold representation whose coefficients can be semi-parametrically estimated by local projections (Jordà, 2005). Substituting the Wold representations for variables in model expressions generates restrictions that can be used by the method of minimum distance to estimate model parameters.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C3, C32, C5, C53, E, E4, E47

• Multivariate Realized Stock Market Volatility

  Staff Working Paper 2007-20 Gregory Bauer, Keith Vorkink

  We present a new matrix-logarithm model of the realized covariance matrix of stock returns. The model uses latent factors which are functions of both lagged volatility and returns.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C3, C32, C5, C53, G, G1, G14

• How Far Can Forecasting Models Forecast? Forecast Content Horizons for Some Important Macroeconomic Variables

  Staff Working Paper 2007-1 John Galbraith, Greg Tkacz

  For stationary transformations of variables, there exists a maximum horizon beyond which forecasts can provide no more information about the variable than is present in the unconditional mean. Meteorological forecasts, typically excepting only experimental or exploratory situations, are not reported beyond this horizon; by contrast, little generally accepted information about such maximum horizons is available for economic variables.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C5, C53

• Short-Run and Long-Run Causality between Monetary Policy Variables and Stock Prices

  Staff Working Paper 2006-39 Jean-Marie Dufour, David Tessier

  The authors examine simultaneously the causal links connecting monetary policy variables, real activity, and stock returns.

  Content Type(s): Staff research, Staff working papers Topic(s): Monetary and financial indicators JEL Code(s): C, C1, C12, C15, C3, C32, C5, C51, C53, E, E5, E52