Forecasting Emerging Market Indicators: Brazil and Russia
The adoption of inflation targeting in emerging market economies makesaccurate forecasting of inflation and output growth in these economies of primary importance. Since only short spans of data are available for such markets, autoregressive and small-scale vector autoregressive models can be suggested as forecasting tools. However,these models include only a few economic time series from the whole variety of data available to forecasters. Therefore dynamic factor models, extracting information from a large number of time series, can be suggested as a reasonable alternative. In this paper two approaches are evaluated on the basis of data available for Brazil and Russia. The results allow us to suggest that the forecasting performance of the models considered depends on the statistical properties of the series to be forecast, which are affected by structural changes and changes in operating regime. This interaction between the statistical properties of the series and the forecasting performance of models requires more detailed investigation.
|Date of creation:||2006|
|Date of revision:|
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- repec:att:wimass:9417 is not listed on IDEAS
- Massimiliano Marcellino & James H. Stock & Mark W. Watson, .
"Macroeconomic Forecasting in the Euro Area: Country Specific versus Area-Wide Information,"
201, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Marcellino, Massimiliano & Stock, James H. & Watson, Mark W., 2003. "Macroeconomic forecasting in the Euro area: Country specific versus area-wide information," European Economic Review, Elsevier, vol. 47(1), pages 1-18, February.
- Jiri Jonas & Frederic S. Mishkin, 2003. "Inflation Targeting in Transition Countries: Experience and Prospects," NBER Working Papers 9667, National Bureau of Economic Research, Inc.
- Clements,Michael & Hendry,David, 1998.
"Forecasting Economic Time Series,"
Cambridge University Press, number 9780521632423, 1.
- Svensson, Lars E.O., 1998.
"Inflation Targeting as a Monetary Policy Rule,"
646, Stockholm University, Institute for International Economic Studies.
- Svensson, Lars E. O., 1998. "Inflation targeting as a monetary policy rule," CFS Working Paper Series 1998/16, Center for Financial Studies (CFS).
- Svensson, L.E.O., 1998. "Inflation Targeting as a Monetary Policy Rule," Papers 646, Stockholm - International Economic Studies.
- Svensson, Lars E O, 1998. "Inflation Targeting as a Monetary Policy Rule," CEPR Discussion Papers 1998, C.E.P.R. Discussion Papers.
- Lars E.O. Svensson, 1998. "Inflation Targeting as a Monetary Policy Rule," NBER Working Papers 6790, National Bureau of Economic Research, Inc.
- Bernanke, Ben S. & Boivin, Jean, 2003.
"Monetary policy in a data-rich environment,"
Journal of Monetary Economics,
Elsevier, vol. 50(3), pages 525-546, April.
- Anindya Banerjee & Massimiliano Marcellino & Igor Masten, 2004. "Forecasting Macroeconomic Variables for the Acceding Countries," Working Papers 260, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Kenneth D. West, 1994.
"Asymptotic Inference About Predictive Ability,"
- James H. Stock & Mark W. Watson, 1998. "Diffusion Indexes," NBER Working Papers 6702, National Bureau of Economic Research, Inc.
- Michael P. Clements & David F. Hendry, 2001. "Forecasting Non-Stationary Economic Time Series," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262531895, June.
- Clements, Michael P. & Hendry, David F., 1998. "Forecasting economic processes," International Journal of Forecasting, Elsevier, vol. 14(1), pages 111-131, March.
- Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-62, April.
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