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An Artificial Neural Network System of Leading Indicators

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Abstract

We construct an artificial neural network to act as a system of leading indicators. We focus on radial basis functions as the architecture and forward selection as the method for determining the number of basis functions in the network. A brief review is given of the advantages of this as a strategy. Using common heuristics to determine scaling, radii and centre population, we find that the results for output growth prediction for six European countries are promising.

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Bibliographic Info

Paper provided by National Institute of Economic and Social Research in its series NIESR Discussion Papers with number 198.

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Date of creation: Jan 1999
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Handle: RePEc:nsr:niesrd:198

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Cited by:
  1. Matthias Kredler, 2005. "Sector-Specific Volatility Patterns in Investment," Macroeconomics 0501016, EconWPA.
  2. Bettina Becker & Stephen Hall, 2004. "Foreign direct investment in industrial R&D and exchange rate uncertainty in the UK," Money Macro and Finance (MMF) Research Group Conference 2003 4, Money Macro and Finance Research Group.
  3. Oleksandra Talavera & Christopher Baum & Andreas Stephan, 2005. "Macroeconomics Uncertainty and Firm Leverage," Money Macro and Finance (MMF) Research Group Conference 2005 72, Money Macro and Finance Research Group.
  4. Christopher F. Baum & Mustafa Caglayan & Andreas Stephan & Oleksandr Talavera, 2006. "Uncertainty Determinants of Corporate Liquidity," Working Papers 2006_1, Business School - Economics, University of Glasgow.
  5. Andrew Hallett & Gert Peersman & Laura Piscitelli, 2004. "Investment Under Monetary Uncertainty: A Panel Data Investigation," Economic Change and Restructuring, Springer, vol. 31(2), pages 137-162, June.
  6. Michael McMahon & Gabriel Sterne & Jamie Thompson, 2005. "The role of ICT in the global investment cycle," Bank of England working papers 257, Bank of England.
  7. Ajimuda Olumide, 2009. "Price Volatility, Expectations and Monetary Policy in Nigeria," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 109-140, May.
  8. Christopher F. Baum & Dorothea Schäfer & Oleksandr Talavera, 2006. "The Effects of Industry-Level Uncertainty on Cash Holdings: The Case of Germany," Discussion Papers of DIW Berlin 638, DIW Berlin, German Institute for Economic Research.
  9. Christopher F. Baum & Andreas Stephan & Oleksandr Talavera, 2004. "The Effects of Uncertainty on the Leverage of Non-Financial Firms," Boston College Working Papers in Economics 602, Boston College Department of Economics, revised 27 Jul 2007.
  10. Christopher F. Baum & Atreya Chakraborty & Boyan Liu, 2010. "The impact of macroeconomic uncertainty on firms' changes in financial leverage," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(1), pages 22-30.
  11. Joseph P. Byrne & E. Philip Davis, 2005. "Investment and Uncertainty in the G7," Review of World Economics (Weltwirtschaftliches Archiv), Springer, vol. 141(1), pages 1-32, April.
  12. repec:asi:ajoerj:2013:p:633-653 is not listed on IDEAS
  13. Talavera, Oleksandr & Tsapin, Andriy & Zholud, Oleksandr, 2012. "Macroeconomic uncertainty and bank lending: The case of Ukraine," Economic Systems, Elsevier, vol. 36(2), pages 279-293.
  14. Andreas Stephan & Oleksandr Talavera, . "Effects of macroeconomic uncertainty on leverage for US non-financial firms," German Stata Users' Group Meetings 2004 8, Stata Users Group.

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