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Nonlinear Forecasting Analysis Using Diffusion Indexes: An Application to Japan Author info | Abstract | Publisher info | Download info | Related research | Statistics Mototsugu Shintani () (Department of Economics, Vanderbilt University)
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This paper extends the diffusion index (DI) forecast approach of Stock and Watson (1998, 2002) to the case of possibly nonlinear dynamic factor models. When the number of series is large, a two-step procedure based on the principal components method is useful since it allows the wide variety of the nonlinearity in the factors. The factors extracted from a large Japanese data suggest some evidence of nonlinear structure. Furthermore, both the linear and nonlinear DI forecasts in Japan outperform traditional time series forecasts, while the linear DI forecast, in most cases, performs as well as the nonlinear DI forecast.
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Paper provided by Department of Economics, Vanderbilt University in its series Working Papers with number
0322.
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Date of creation: Oct 2003Date of revision:
Apr 2004Handle: RePEc:van:wpaper:0322Contact details of provider: Postal: Box 1819, Station B, Nashville, TN 37235 Fax: 615-343-8495 Email: Web page: http://sitemason.vanderbilt.edu/econ/ More information through EDIRC
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Keywords: Diffusion Index ; Dynamic Factor Model ; Nonlinearity ; Prediction ; Other versions of this item:
Find related papers by JEL classification: F31 - International Economics - - International Finance - - - Foreign Exchange F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
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