Advanced Search
MyIDEAS: Login to save this paper or follow this series

Short-term Forecasting Methods Based on the LEI Approach: The Case of the Czech Republic

Contents:

Author Info

  • Vojtech Benda
  • Lubos Ruzicka

Abstract

This paper is aimed at developing short-term forecasting methods based on the LEI (leading economic indicators) approach. We use a set of econometric models (PCA, SURE) that provide estimates of GDP growth for the Czech economy for a co-incident quarter and a few quarters ahead. These models exploit monthly or quarterly indicators such as business surveys, financial or labour market indicators, monetary aggregates, interest rates and spreads, etc. that become available before the release of data on GDP growth itself. Our tests show that the LEIs provide relatively accurate forecasts of GDP fluctuations in the short run.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.cnb.cz/www.cnb.cz/en/research/research_publications/irpn/download/rpn_1_2007.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Czech National Bank, Research Department in its series Research and Policy Notes with number 2007/01.

as in new window
Length:
Date of creation: Dec 2007
Date of revision:
Handle: RePEc:cnb:rpnrpn:2007/01

Contact details of provider:
Postal: Na Prikope 28, 115 03 Prague 1
Phone: 00420 2 2442 1111
Fax: 00420 2 2421 8522
Email:
Web page: http://www.cnb.cz/en/research/research_intro/
More information through EDIRC

Related research

Keywords: Leading indicators; principal component analysis; seemingly unrelated regression estimate.;

Find related papers by JEL classification:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Victor Zarnowitz, 1973. "A Review of Cyclical Indicators for the United States: Preliminary Results," NBER Working Papers 0006, National Bureau of Economic Research, Inc.
  2. Stock, J.H. & Watson, M.W., 1989. "New Indexes Of Coincident And Leading Economic Indicators," Papers 178d, Harvard - J.F. Kennedy School of Government.
  3. Schumacher, Christian, 2005. "Forecasting German GDP using alternative factor models based on large datasets," Discussion Paper Series 1: Economic Studies 2005,24, Deutsche Bundesbank, Research Centre.
  4. Philip A. Klein & Geoffrey H. Moore, 1982. "The Leading Indicator Approach to Economic Forecasting--Retrospect and Prospect," NBER Working Papers 0941, National Bureau of Economic Research, Inc.
  5. 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.
  6. Angelini, Elena & Henry, Jérôme & Mestre, Ricardo, 2001. "Diffusion index-based inflation forecasts for the euro area," Working Paper Series 0061, European Central Bank.
  7. Victor Zarnowitz & Ataman Ozyildirim, 2002. "Time Series Decomposition and Measurement of Business Cycles, Trends and Growth Cycles," NBER Working Papers 8736, National Bureau of Economic Research, Inc.
  8. Neftici, Salih N., 1982. "Optimal prediction of cyclical downturns," Journal of Economic Dynamics and Control, Elsevier, vol. 4(1), pages 225-241, November.
  9. Beatrice N. Vaccara & Victor Zarnowitz, 1978. "Forecasting with the Index of Leading Indicators," NBER Working Papers 0244, National Bureau of Economic Research, Inc.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Marek Rusnak, 2013. "Nowcasting Czech GDP in Real Time," Working Papers 2013/06, Czech National Bank, Research Department.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:cnb:rpnrpn:2007/01. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jan Babecky).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.