E47 - Forecasting and Simulation: Models and Applications

• '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