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Stock Market Development And Economic Growth: The Causal Linkage

Author

Listed:
  • Guglielmo Maria Caporale

    (London South Bank University)

  • Peter G. A Howells

    (University of the West of England)

  • Alaa M. Soliman

    (Leeds Metropolitan University)

Abstract

This paper addresses the question: does stock market development cause growth? It examines the causal linkage between stock market development, financial development and economic growth. The argument is that any inference that financial liberalisation causes savings or investment or growth, or that financial intermediation causes growth, drawn from bivariate causality tests may be invalid, as invalid causality inferences can result from omitting an important variable. The empirical part of this study exploits techniques recently developed by Toda and Yamamoto (1995) to test for causality in VARs, and emphasises the possibility of omitted variable bias. The evidence obtained from a sample of seven countries suggests that a well-developed stock market can foster economic growth in the long run. It also provides support to theories according to which well-functioning stock markets can promote economic development by fuelling the engine of growth through faster capital accumulation, and by tuning it through better resource allocation.

Suggested Citation

  • Guglielmo Maria Caporale & Peter G. A Howells & Alaa M. Soliman, 2004. "Stock Market Development And Economic Growth: The Causal Linkage," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 29(1), pages 33-50, June.
  • Handle: RePEc:jed:journl:v:29:y:2004:i:1:p:33-50
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    References listed on IDEAS

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    More about this item

    Keywords

    Financial Development; Economic Growth; Stock Market; Causality Testing; VARs; Incomplete Systems;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

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