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Are the Australian and New Zealand stock prices nonlinear with a unit root?

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  • Paresh Kumar Narayan

Abstract

Whether or not stock prices are characterized by a unit root has important implications for policy. For instance, by applying unit root tests one can deduce whether stock returns can be predicted from previous changes in prices. A finding of a unit root implies that stock returns cannot be predicted. This paper investigates whether or not stock prices for Australia and New Zealand can be characterized by a unit root process. An unrestricted two-regime threshold autoregressive model is used with an autoregressive unit root. Among the main results, it is found that the stock prices of both countries are nonlinear processes that are characterized by a unit root process, consistent with the efficient market hypothesis.

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File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840500217887
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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Applied Economics.

Volume (Year): 37 (2005)
Issue (Month): 18 ()
Pages: 2161-2166

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Handle: RePEc:taf:applec:v:37:y:2005:i:18:p:2161-2166

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References

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  1. Kanas, Angelos, 2001. "Neural Network Linear Forecasts for Stock Returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 6(3), pages 245-54, July.
  2. Bruce E. Hansen & Mehmet Caner, 1997. "Threshold Autoregressions with a Unit Root," Boston College Working Papers in Economics 381, Boston College Department of Economics.
  3. Paresh Kumar Narayan & Russell Smyth, 2004. "Is South Korea's stock market efficient?," Applied Economics Letters, Taylor & Francis Journals, vol. 11(11), pages 707-710.
  4. Xiaming Liu & Haiyan Song & Peter Romilly, 1997. "Are Chinese stock markets efficient? A cointegration and causality analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 4(8), pages 511-515.
  5. 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.
  6. Paresh Kumar Narayan & Russell Smyth, 2005. "Are OECD stock prices characterized by a random walk? Evidence from sequential trend break and panel data models," Applied Financial Economics, Taylor & Francis Journals, vol. 15(8), pages 547-556.
  7. repec:wop:syecwp:2000-3 is not listed on IDEAS
  8. Simon van Norden & Huntley Schaller & ), 1995. "Regime Switching in Stock Market Returns," Econometrics 9502002, EconWPA.
  9. Peter Huber, 1997. "Stock market returns in thin markets: evidence from the Vienna Stock Exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 7(5), pages 493-498.
  10. 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.
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Citations

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Cited by:
  1. Shyh-Wei Chen, 2008. "Non-stationarity and Non-linearity in Stock Prices: Evidence from the OECD Countries," Economics Bulletin, AccessEcon, vol. 3(11), pages 1-11.
  2. Narayan, Seema & Rath, Badri Narayan & Narayan, Paresh Kumar, 2012. "Evidence of Wagner's law from Indian states," Economic Modelling, Elsevier, vol. 29(5), pages 1548-1557.
  3. repec:ebl:ecbull:v:3:y:2008:i:11:p:1-11 is not listed on IDEAS
  4. Svetlana Maslyuk & Russell Smyth, 2007. "Non-Linear Unit Root Properties of Crude Oil Production," Monash Economics Working Papers 39-07, Monash University, Department of Economics.
  5. Anita CEH CASNI & Maruska VIZEK, 2014. "Interactions between Real Estate and Equity Markets: an Investigation of Linkages in Developed and Emerging Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(2), pages 100-119, March.
  6. Siow-hooi Tan & Muzafar-shah Habibullah & Roy-wye-leong Khong, 2010. "Non-linear unit root properties of stock prices: Evidence from India, Pakistan and Sri Lanka," Economics Bulletin, AccessEcon, vol. 30(1), pages 274-281.
  7. repec:ebl:ecbull:v:30:y:2010:i:1:p:274-281 is not listed on IDEAS
  8. Lee, Chien-Chiang & Lee, Jun-De & Lee, Chi-Chuan, 2010. "Stock prices and the efficient market hypothesis: Evidence from a panel stationary test with structural breaks," Japan and the World Economy, Elsevier, vol. 22(1), pages 49-58, January.
  9. Gozbasi, Onur & Kucukkaplan, Ilhan & Nazlioglu, Saban, 2014. "Re-examining the Turkish stock market efficiency: Evidence from nonlinear unit root tests," Economic Modelling, Elsevier, vol. 38(C), pages 381-384.
  10. Lyócsa, Štefan & Výrost, Tomáš & Baumöhl, Eduard, 2011. "Unit-root and stationarity testing with empirical application on industrial production of CEE-4 countries," MPRA Paper 29648, University Library of Munich, Germany.
  11. Qian, Xi-Yuan & Song, Fu-Tie & Zhou, Wei-Xing, 2008. "Nonlinear behaviour of the Chinese SSEC index with a unit root: Evidence from threshold unit root tests," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(2), pages 503-510.
  12. Narayan, Paresh Kumar, 2006. "The behaviour of US stock prices: Evidence from a threshold autoregressive model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 71(2), pages 103-108.

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