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Is South Korea's stock market efficient?

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  • Paresh Kumar Narayan
  • Russell Smyth

Abstract

This letter applies the Zivot and Andrews (Journal of Business and Economic Statistics, 10, 251-70, 1992) one break and the Lumsdaine and Papell (Review of Economic and Statistics, 79, 212-8, 1997) two break unit root tests to examine the random walk hypothesis for stock prices in South Korea. The results provide strong evidence that stock prices in South Korea are characterized by a unit root, which is consistent with the efficient market hypothesis.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:apeclt:v:11:y:2004:i:11:p:707-710
    DOI: 10.1080/1350485042000236566
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    References listed on IDEAS

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    1. Chaudhuri, Kausik & Wu, Yangru, 2003. "Random walk versus breaking trend in stock prices: Evidence from emerging markets," Journal of Banking & Finance, Elsevier, vol. 27(4), pages 575-592, April.
    2. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    3. Hall, Alastair R, 1994. "Testing for a Unit Root in Time Series with Pretest Data-Based Model Selection," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 461-470, October.
    4. Robin L. Lumsdaine & David H. Papell, 1997. "Multiple Trend Breaks And The Unit-Root Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 212-218, May.
    5. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
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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. Jae-Seung Han & Sang-Yong Lee, 2013. "The impact of technology transfer contract on a firm’s market value in Korea," The Journal of Technology Transfer, Springer, vol. 38(5), pages 651-674, October.
    3. Abdul Rahman & Samir Saadi, 2007. "Is South Korea's stock market efficient? A note," Applied Economics Letters, Taylor & Francis Journals, vol. 14(1), pages 71-74.
    4. Guglielmo Maria Caporale & Luis A. Gil‐Alana & James C. Orlando, 2016. "Linkages Between the US and European Stock Markets: A Fractional Cointegration Approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 143-153, April.
    5. Kwangmin Jung & Donggyu Kim & Seunghyeon Yu, 2022. "Next generation models for portfolio risk management: An approach using financial big data," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(3), pages 765-787, September.
    6. Abdul Rahman & Samir Saadi, 2008. "Random walk and breaking trend in financial series: An econometric critique of unit root tests," Review of Financial Economics, John Wiley & Sons, vol. 17(3), pages 204-212, August.
    7. Ali, Sajid & Shahzad, Syed Jawad Hussain & Raza, Naveed & Al-Yahyaee, Khamis Hamed, 2018. "Stock market efficiency: A comparative analysis of Islamic and conventional stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 139-153.
    8. Alexakis, Christos, 2010. "Long-run relations among equity indices under different market conditions: Implications on the implementation of statistical arbitrage strategies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(4), pages 389-403, October.
    9. Mehmet Altuntaş & Emre Kılıç & Şevket Pazarcı & Alican Umut, 2022. "Borsa İstanbul Alt Endekslerinde Etkin Piyasa Hipotezinin Test Edilmesi: Fourier Kırılmalı ve Doğrusal Olmayan Birim Kök Testlerinden Kanıtlar," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 7(1), pages 169-185.
    10. 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.
    11. 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.
    12. Khaled, Mohammed S & Keef, Stephen P, 2011. "Tests for weak form market efficiency in stock prices: Monte Carlo evidence," Working Paper Series 1993, Victoria University of Wellington, School of Economics and Finance.
    13. repec:ebl:ecbull:v:3:y:2008:i:11:p:1-11 is not listed on IDEAS
    14. H. R. Seddighi & Il-Hyun Yoon, 2018. "Stock Market Efficiency and Price Limits: Evidence from Korea’s Recent Expansion of Price Limits," Asian Journal of Economics and Empirical Research, Asian Online Journal Publishing Group, vol. 5(2), pages 191-200.
    15. G. L. Zou, 2019. "A Study on the Integrated Property of A Chinese Petroleum Firm Stock Prices," Sumerianz Journal of Business Management and Marketing, Sumerianz Publication, vol. 2(1), pages 15-18, 01-2019.
    16. Abdul Haque & Hung-Chun Liu & Fakhar-Un-Nisa, 2011. "Testing the Weak Form Efficiency of Pakistani Stock Market (2000 2010)," International Journal of Economics and Financial Issues, Econjournals, vol. 1(4), pages 153-162.
    17. Paresh Kumar Narayan, 2005. "Are the Australian and New Zealand stock prices nonlinear with a unit root?," Applied Economics, Taylor & Francis Journals, vol. 37(18), pages 2161-2166.

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