Report NEP-FOR-2010-03-28

This is the archive for NEP-FOR, a report on new working papers in the area of Forecasting. Rob J Hyndman issued this report. It is usually issued weekly.

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Other reports in NEP-FOR

The following items were announced in this report:

• Ibarra-Ramírez Raúl, 2010. "Forecasting Inflation in Mexico Using Factor Models: Do Disaggregated CPI Data Improve Forecast Accuracy?," Working Papers 2010-01, Banco de México.
• SBRANA, Giacomo & SILVESTRINI, Andrea, 2009. "What do we know about comparing aggregate and disaggregate forecasts?," LIDAM Discussion Papers CORE 2009020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
• Jens R Clausen & Bianca Clausen, 2010. "Simulating Inflation Forecasting in Real-Time; How Useful Is a Simple Phillips Curve in Germany, the UK, and the US?," IMF Working Papers 10/52, International Monetary Fund.
• Timotheos Angelidis & Alexandros Benos & Stavros Degiannakis, 2010. "The Use of GARCH Models in VaR Estimation," Working Papers 0048, University of Peloponnese, Department of Economics.
• Anindya Banerjee & Victor Bystrov & Paul Mizen, 2010. "Interest rate pass-through in the major European economies - the role of expectations," Discussion Papers 10-07, Department of Economics, University of Birmingham.
• S. Bordignon & D. Raggi, 2010. "Long memory and nonlinearities in realized volatility: a Markov switching approach," Working Papers 694, Dipartimento Scienze Economiche, Universita' di Bologna.
• Dominique Guegan & Justin Leroux, 2010. "Predicting chaos with Lyapunov exponents: Zero plays no role in forecasting chaotic systems," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00462454, HAL.
• Mehmet Balcilar & Rangan Gupta & Zahra Shah, 2010. "An In-Sample and Out-of-Sample Empirical Investigation of the Nonlinearity in House Prices of South Africa," Working Papers 201008, University of Pretoria, Department of Economics.
• Ruthira Naraidoo & Ivan Paya, 2010. "Forecasting Monetary Rules in South Africa," Working Papers 201007, University of Pretoria, Department of Economics.
• Kevin Clinton & Marianne Johnson & Jaromir Benes & Douglas Laxton & Troy D Matheson, 2010. "Structural Models in Real Time," IMF Working Papers 10/56, International Monetary Fund.
• Marcella Lucchetta & Gianni De Nicolo, 2010. "Systemic Risks and the Macroeconomy," IMF Working Papers 10/29, International Monetary Fund.
• Menzie D. Chinn & Olivier Coibion, 2010. "The Predictive Content of Commodity Futures," Working Papers 89, Department of Economics, College of William and Mary.
• ROMBOUTS, Jeroen V.K. & STENTOFT, Lars, 2009. "Bayesian option pricing using mixed normal heteroskedasticity models," LIDAM Discussion Papers CORE 2009013, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
• Ralph Chami & Adolfo Barajas & Anjali Garg & Connel Fullenkamp, 2010. "The Global Financial Crisis and Workers' Remittances to Africa; What's the Damage?," IMF Working Papers 10/24, International Monetary Fund.
• Das, Rituparna, 2010. "Econometric Models of Forecasting Money Supply in India," MPRA Paper 21392, University Library of Munich, Germany.
• Domenico Giannone & Michèle Lenza & Daphné Momferatu & Luca Onorante, 2010. "Short-term inflation projections: a Bayesian vector autoregressive approach," Working Papers ECARES ECARES 2010-011, ULB -- Universite Libre de Bruxelles.
• Adam Clements & Annastiina Silvennoinen, 2010. "Portfolio allocation: Getting the most out of realised volatility," NCER Working Paper Series 54, National Centre for Econometric Research, revised 06 May 2010.
• BAUWENS, Luc & ROMBOUTS, Jeroen, 2009. "On marginal likelihood computation in change-point models," LIDAM Discussion Papers CORE 2009061, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
• HEINEN, Andréas & VALDESOGO, Alfonso, 2009. "Asymmetric CAPM dependence for large dimensions: the Canonical Vine Autoregressive Model," LIDAM Discussion Papers CORE 2009069, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).