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Testing for Evidence of Nonlinear Structure in Daily and Weekly United Kingdom Stock and Property Market Indicies

Author

Listed:
  • Graham Newell
  • Maurice Peat

    (Discipline of Finance, University of Sydney)

  • Max Stevenson

    (Discipline of Finance, University of Sydney)

Abstract

In this paper we have tested for evidence of nonlinear structure in United Kingdom asset returns including those of real estate and investment trusts, stock market indices and returns for listed real estate companies. While some of our test procedures are designed to test for nonlinear deterministic (chaotic) structure against a random alternative, others have power against nonlinear stochastic structure. If nonlinear deterministic and random walk models are not appropriate to explain asset returns behaviour, then stochastic nonlinearity seems like a logical alternative. The results from our study lead us to that conclusion.

Suggested Citation

  • Graham Newell & Maurice Peat & Max Stevenson, 1997. "Testing for Evidence of Nonlinear Structure in Daily and Weekly United Kingdom Stock and Property Market Indicies," Working Paper Series 73, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    • Handle: RePEc:uts:wpaper:73
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    File URL: http://www.finance.uts.edu.au/research/wpapers/wp73.pdf
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    References listed on IDEAS

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    5. Graham Newell & Maurice Peat & Max Stevenson, 1996. "Testing for Evidence of Nonlinear Structure in Australian Real Estate Market Returns," Working Paper Series 61, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
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    9. Brent W. Ambrose & Esther Ancel & Mark D. Griffiths, 1992. "The Fractal Structure of Real Estate Investment Trust Returns: The Search for Evidence of Market Segmentation and Nonlinear Dependency," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 20(1), pages 25-54, March.
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    Cited by:

    1. Gourishankar S Hiremath & Bandi Kamaiah, 2010. "Nonlinear Dependence in Stock Returns: Evidences from India," Journal of Quantitative Economics, The Indian Econometric Society, vol. 8(1), pages 69-85, January.
    2. Adefemi A. Obalade & Paul-Francois Muzindutsi, 2021. "Are African Stock Markets Inefficient or Adaptive? Empirical Literature," Chapters, in: Vito Bobek & Chee-Heong Quah (ed.), Emerging Markets, IntechOpen.

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