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Testing for Evidence of Nonlinear Structure in Australian Real Estate Market Returns

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 Australian asset returns including those of real estate and investment trusts, stock market indicies 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, 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.
  • Handle: RePEc:uts:wpaper:61
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    File URL: http://www.finance.uts.edu.au/research/wpapers/wp61.pdf
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    References listed on IDEAS

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    1. Sims, Christopher A., 1988. "Bayesian skepticism on unit root econometrics," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 463-474.
    2. Scheinkman, Jose A & LeBaron, Blake, 1989. "Nonlinear Dynamics and Stock Returns," The Journal of Business, University of Chicago Press, vol. 62(3), pages 311-337, July.
    3. Willey, Thomas, 1992. "Testing for nonlinear dependence in daily stock indices," Journal of Economics and Business, Elsevier, vol. 44(1), pages 63-76, February.
    4. Steven C. Blank, 1991. "“Chaos” in futures markets? A nonlinear dynamical analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(6), pages 711-728, December.
    5. Lo, Andrew W, 1991. "Long-Term Memory in Stock Market Prices," Econometrica, Econometric Society, vol. 59(5), pages 1279-1313, September.
    6. Hsieh, David A, 1989. "Testing for Nonlinear Dependence in Daily Foreign Exchange Rates," The Journal of Business, University of Chicago Press, vol. 62(3), pages 339-368, July.
    7. Brock, W.A. & Dechert, W.D. & LeBaron, B. & Scheinkman, J.A., 1995. "A Test for Independence Based on the Correlation Dimension," Working papers 9520, Wisconsin Madison - Social Systems.
    8. Hsieh, David A, 1991. "Chaos and Nonlinear Dynamics: Application to Financial Markets," Journal of Finance, American Finance Association, vol. 46(5), pages 1839-1877, December.
    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. Colin Lizieri & Charles Ward, 2000. "Commercial Real Estate Return Distributions: A Review Of Literature And Empirical Evidence," Real Estate & Planning Working Papers rep-wp2000-01, Henley Business School, University of Reading.
    2. Ellis, Craig, 2006. "The mis-specification of the expected rescaled adjusted range," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(2), pages 469-476.
    3. 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.
    4. Patrick Krieger & Carsten Lausberg & Kristin Wellner, 2018. "Einblicke in die Gründe für nicht-normalverteilte Immobilienrenditen: eine explorative Untersuchung deutscher Wohnimmobilienportfolios [Insights into the reasons for non-normal real estate returns:," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 4(1), pages 49-79, November.
    5. Kim Hiang Liow & James R. Webb, 2008. "Nonlinear Return Dependence in Major Real Estate Markets," Journal of Property Research, Taylor & Francis Journals, vol. 25(4), pages 285-319, December.

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