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Are Non-Linear Dynamics a Universal Occurrence? Further Evidence From Asian Stock Markets

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Author Info

  • Kian-Ping Lim

    (Universiti Malaysia Sabah)

  • M. Azali

    (Universiti Putra Malaysia)

  • M.S. Habibullah

    (Universiti Putra Malaysia)

  • Venus Khim-Sen Liew

    (Universiti Putra Malaysia)

Abstract

With abounding evidence of non-linearity in stock markets of developed markets, this study attempts to narrow the gap in the literature of Asian countries by providing further empirical evidence to the issue “are non-linear dynamics a universal occurrence?”. The results from the Hinich bispectrum test indicate strong evidence of non-linearity in all the Asian stock markets under investigate- Japan, Hong Kong, Singapore and Malaysia. These findings further add to the empirical support that non-linearity is a salient feature in stock market time series data and have important implications for works on market efficiency, modelling and pricing and hedging strategies in derivatives markets.

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Bibliographic Info

Paper provided by EconWPA in its series Finance with number 0308001.

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Date of creation: 03 Aug 2003
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Handle: RePEc:wpa:wuwpfi:0308001

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Related research

Keywords: Non-linearity; Data generating process; Hinich bispectrum test; Asian stock markets.;

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References

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  1. Hsieh, David A, 1991. " Chaos and Nonlinear Dynamics: Application to Financial Markets," Journal of Finance, American Finance Association, vol. 46(5), pages 1839-77, December.
  2. Bierens, Herman J., 1997. "Nonparametric cointegration analysis," Journal of Econometrics, Elsevier, vol. 77(2), pages 379-404, April.
  3. William A. Barnett & A. Ronald Gallant & Melvin J. Hinich & Jochen A. Jungeilges & Daniel T. Kaplan & Mark J. Jensen, 1996. "A Single-Blind Controlled Competition among Tests for Nonlinearity and Chaos," Econometrics 9602005, EconWPA, revised 20 Sep 1996.
  4. repec:att:wimass:9520 is not listed on IDEAS
  5. Barnett, William A. & Serletis, Apostolos, 2000. "Martingales, nonlinearity, and chaos," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 703-724, June.
  6. Hinich, Melvin J & Patterson, Douglas M, 1985. "Evidence of Nonlinearity in Daily Stock Returns," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(1), pages 69-77, January.
  7. Abhyankar, A & Copeland, L S & Wong, W, 1995. "Nonlinear Dynamics in Real-Time Equity Market Indices: Evidence from the United Kingdom," Economic Journal, Royal Economic Society, vol. 105(431), pages 864-80, July.
  8. David McMillan & Alan Speight, 2001. "Nonlinearities in the black market zloty-dollar exchange rate: some further evidence," Applied Financial Economics, Taylor & Francis Journals, vol. 11(2), pages 209-220.
  9. Bierens, Herman J., 1997. "Testing the unit root with drift hypothesis against nonlinear trend stationarity, with an application to the US price level and interest rate," Journal of Econometrics, Elsevier, vol. 81(1), pages 29-64, November.
  10. Brooks, Chris & Hinich, Melvin J., 1999. "Cross-correlations and cross-bicorrelations in Sterling exchange rates," Journal of Empirical Finance, Elsevier, vol. 6(4), pages 385-404, October.
  11. Pesaran, M Hashem & Potter, Simon M, 1992. "Nonlinear Dynamics and Econometrics: An Introduction," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages S1-7, Suppl. De.
  12. Mahajan, Arvind & Wagner, Andrew J., 1999. "Nonlinear dynamics in foreign exchange rates," Global Finance Journal, Elsevier, vol. 10(1), pages 1-23.
  13. Abhyankar, A & Copeland, L S & Wong, W, 1997. "Uncovering Nonlinear Structure in Real-Time Stock-Market Indexes: The S&P 500, the DAX, the Nikkei 225, and the FTSE-100," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 1-14, January.
  14. John Barkoulas & Nickolaos Travlos, 1998. "Chaos in an emerging capital market? The case of the Athens Stock Exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 8(3), pages 231-243.
  15. Scheinkman, Jose A & LeBaron, Blake, 1989. "Nonlinear Dynamics and Stock Returns," The Journal of Business, University of Chicago Press, vol. 62(3), pages 311-37, July.
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Cited by:
  1. Kian-Ping Lim & Venus Khim-Sen Liew & Hock-Tsen Wong, 2003. "Weak-form Efficient Market Hypothesis, Behavioural Finance and Episodic Transient Dependencies: The Case of the Kuala Lumpur Stock Exchange," Finance 0312012, EconWPA.

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