IDEAS home Printed from https://ideas.repec.org/a/cup/macdyn/v18y2014i04p943-958_00.html
   My bibliography  Save this article

Testing For The Efficient Market Hypothesis In Stock Prices: International Evidence From Nonlinear Heterogeneous Panels

Author

Listed:
  • Lee, Chien-Chiang
  • Tsong, Ching-Chuan
  • Lee, Cheng-Feng

Abstract

Using international data, this paper explores whether the efficient market hypothesis for real stock prices is supported for different panels. The stationarity of a real stock price has important implications for modeling and forecasting financial activities. On a global scale, we implement the recently developed nonlinear heterogeneous panel unit root test, which allows us to account for possible nonlinearity and cross-section dependence and to identify how many and which countries of the panel contain a unit root. The primary conclusion is that the stationarity of real stock prices varies between regions and levels of economic development. Overall, our empirical results illustrate that real stock prices in these countries are a mixture of stationary (integrated of order zero) and nonstationary (integrated of order one) processes.

Suggested Citation

  • Lee, Chien-Chiang & Tsong, Ching-Chuan & Lee, Cheng-Feng, 2014. "Testing For The Efficient Market Hypothesis In Stock Prices: International Evidence From Nonlinear Heterogeneous Panels," Macroeconomic Dynamics, Cambridge University Press, vol. 18(4), pages 943-958, June.
    • Handle: RePEc:cup:macdyn:v:18:y:2014:i:04:p:943-958_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1365100512000697/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chien-Chiang Lee & Tie-Ying Liu, 2017. "Insurance development, banking activities, and regional output: evidence from China," Empirical Economics, Springer, vol. 53(3), pages 1059-1081, November.
    2. Hu, Yang & Valera, Harold Glenn A. & Oxley, Les, 2019. "Market efficiency of the top market-cap cryptocurrencies: Further evidence from a panel framework," Finance Research Letters, Elsevier, vol. 31(C), pages 138-145.
    3. Erdas Mehmet Levent, 2019. "Validity of Weak-Form Market Efficiency in Central and Eastern European Countries (CEECs): Evidence from Linear and Nonlinear Unit Root Tests," Review of Economic Perspectives, Sciendo, vol. 19(4), pages 399-428, December.
    4. Nartea, Gilbert V. & Valera, Harold Glenn A. & Valera, Maria Luisa G., 2021. "Mean reversion in Asia-Pacific stock prices: New evidence from quantile unit root tests," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 214-230.
    5. Andrew Phiri, 2015. "Efficient Market Hypothesis in South Africa: Evidence from Linear and Nonlinear Unit Root Tests," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 13(4 (Winter), pages 369-387.
    6. Min Liu & Chien‐Chiang Lee & Wei‐Chong Choo, 2021. "An empirical study on the role of trading volume and data frequency in volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 792-816, August.
    7. Chien-Chiang Lee & Godwin O Olasehinde-Williams & Ifedolapo Olabisi Olanipekun, 2022. "GDP volatility implication of tourism volatility in South Africa: A time-varying approach," Tourism Economics, , vol. 28(2), pages 435-450, March.
    8. Ya-Hui Huang & Chien-Chiang Lee & Chun-Ping Chang, 2016. "Medical Personnel and Life Expectancy: New Evidence from Taiwan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(3), pages 1425-1447, September.
    9. Durusu-Ciftci, Dilek & Ispir, M. Serdar & Kok, Dundar, 2019. "Do stock markets follow a random walk? New evidence for an old question," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 165-175.
    10. Lee, Chien-Chiang & Chen, Mei-Ping & Chang, Chi-Hung, 2014. "Industry co-movement and cross-listing: Do home country factors matter?," Japan and the World Economy, Elsevier, vol. 32(C), pages 96-110.
    11. Guanchun Liu & Chien-Chiang Lee & Yuanyuan Liu, 2020. "Growth path heterogeneity across provincial economies in China: the role of geography versus institutions," Empirical Economics, Springer, vol. 59(2), pages 503-546, August.
    12. Liu, Tie-Ying & Lee, Chien-Chiang, 2018. "Will the energy price bubble burst?," Energy, Elsevier, vol. 150(C), pages 276-288.
    13. Chien, Mei-Se & Lee, Chien-Chiang & Hu, Te-Chung & Hu, Hui-Ting, 2015. "Dynamic Asian stock market convergence: Evidence from dynamic cointegration analysis among China and ASEAN-5," Economic Modelling, Elsevier, vol. 51(C), pages 84-98.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cup:macdyn:v:18:y:2014:i:04:p:943-958_00. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/mdy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.