E47 - Forecasting and Simulation: Models and Applications

• Estimating the Policy Rule from Money Market Rates when Target Rate Changes Are Lumpy

  Staff Working Paper 2012-41 Jean-Sébastien Fontaine

  Most central banks effect changes to their target or policy rate in discrete increments (e.g., multiples of 0.25%) following public announcements on scheduled dates. Still, for most applications, researchers rely on the assumption that the policy rate changes linearly with economic conditions and they do not distinguish between dates with and without scheduled announcements.

  Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Financial markets, Interest rates JEL Code(s): E, E4, E43, E44, E47, G, G1, G12, G13

• Forecasting Inflation and the Inflation Risk Premiums Using Nominal Yields

  Staff Working Paper 2012-37 Bruno Feunou, Jean-Sébastien Fontaine

  We provide a decomposition of nominal yields into real yields, expectations of future inflation and inflation risk premiums when real bonds or inflation swaps are unavailable or unreliable due to their relative illiquidity.

  Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods, Inflation and prices, Interest rates JEL Code(s): E, E4, E43, E47, G, G1, G12

• Short-Term Forecasting of the Japanese Economy Using Factor Models

  Staff Working Paper 2012-7 Claudia Godbout, Marco J. Lombardi

  While the usefulness of factor models has been acknowledged over recent years, little attention has been devoted to the forecasting power of these models for the Japanese economy. In this paper, we aim at assessing the relative performance of factor models over different samples, including the recent financial crisis.

  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

• Mixed Frequency Forecasts for Chinese GDP

  Staff Working Paper 2011-11 Philipp Maier

  We evaluate different approaches for using monthly indicators to predict Chinese GDP for the current and the next quarter (‘nowcasts’ and ‘forecasts’, respectively). We use three types of mixed-frequency models, one based on an economic activity indicator (Liu et al., 2007), one based on averaging over indicator models (Stock and Watson, 2004), and a static factor model (Stock and Watson, 2002).

  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

• ‘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

• Losses from Simulated Defaults in Canada's Large Value Transfer System

  Staff Discussion Paper 2010-14 Nellie Zhang, Tom Hossfeld

  The Large Value Transfer System (LVTS) loss-sharing mechanism was designed to ensure that, in the event of a one-participant default, the collateral pledged by direct members of the system would be sufficient to cover the largest possible net debit position of a defaulting participant. However, the situation may not hold if the indirect effects of the defaults are taken into consideration, or if two participants default during the same payment cycle.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Financial institutions, Financial stability, Payment clearing and settlement systems JEL Code(s): E, E4, E47, G, G2, G21

• 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

• A Financial Conditions Index for the United States

  Staff Discussion Paper 2009-11 Kimberly Beaton, René Lalonde, Corinne Luu

  The financial crisis of 2007–09 has highlighted the importance of developments in financial conditions for real economic activity. The authors estimate the effect of current and past shocks to financial variables on U.S. GDP growth by constructing two growthbased financial conditions indexes (FCIs) that measure the contribution to quarterly (annualized) GDP growth from financial conditions.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Business fluctuations and cycles, Monetary and financial indicators, Monetary conditions index, Recent economic and financial developments JEL Code(s): E, E3, E32, E4, E44, E47, E5, E51

• Combining Canadian Interest-Rate Forecasts

  Staff Working Paper 2008-34 David Bolder, Yuliya Romanyuk

  Model risk is a constant danger for financial economists using interest-rate forecasts for the purposes of monetary policy analysis, portfolio allocations, or risk-management decisions. Use of multiple models does not necessarily solve the problem as it greatly increases the work required and still leaves the question "which model forecast should one use?"

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Interest rates JEL Code(s): C, C1, C11, E, E4, E43, E47

• 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