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Stock Market Efficiency and Price Limits: Evidence from Korea’s Recent Expansion of Price Limits

Author

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  • H. R. Seddighi
  • Il-Hyun Yoon

Abstract

This paper examines the efficiency of the Korean stock exchange market with reference to the recent relaxation of price limits effective on June 15, 2015 for the period from January 2012 to November 2017 and compares the efficiency between sub-periods before and after the police change which saw expansion of daily price limits from 15% to 30%. The daily returns of the market index and 60 stocks selected from different industrial sectors are used to test the random walk hypothesis under two different price limits regime using the Lo-MacKinlay variance ratio tests and multiple variance ratio tests. The empirical evidence found that the market index showed weak form market efficiency along the lines of random walk hypothesis while individual sample stocks behaved differently according to the different price limits periods. The number of stocks following the random walk process increased under the 30% price limits regime in comparison with that under the 15% regime, indicating Korea’s stock market appears to become more efficient as daily price limits are expanded although the findings are rather suggestive than definitive.

Suggested Citation

  • 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.
  • Handle: RePEc:aoj:ajeaer:v:5:y:2018:i:2:p:191-200:id:259
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    Cited by:

    1. Ouarda Belkacem Layachi, 2019. "Effects of Energy Prices on Environmental Pollution: Testing Environmental Kuznets Curve for Algeria," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 401-408.
    2. Michael Anthony Adams, 2020. "Fiscal Policy and Stock Market Efficiency in the USA: An ARDL Bounds Testing Approach," Journal of Accounting, Business and Finance Research, Scientific Publishing Institute, vol. 9(2), pages 73-81.

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