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The Efficiency of the Japanese Equity Market

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  • Mr. Jun Nagayasu

Abstract

Using the ARFIMA-FIGARCH model, this paper studies the efficiency of the Japanese equity market by examining the statistical properties of the return and volatility of the Nikkei 225. It shows that both follow a long range dependence, which stands against the efficient market hypothesis (EMH). The result is valid for all sample periods, suggesting that the recent equity market reform has not produced major efficiency gains.

Suggested Citation

  • Mr. Jun Nagayasu, 2003. "The Efficiency of the Japanese Equity Market," IMF Working Papers 2003/142, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2003/142
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    References listed on IDEAS

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    2. Jean-Pascal Bassino & Thomas Lagoarde-Segot, 2015. "Informational efficiency in the Tokyo Stock Exchange, 1931–40," Economic History Review, Economic History Society, vol. 68(4), pages 1226-1249, November.
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    4. Kuttu, Saint, 2018. "Modelling long memory in volatility in sub-Saharan African equity markets," Research in International Business and Finance, Elsevier, vol. 44(C), pages 176-185.
    5. Miyazaki, Tomomi & Hiraga, Kazuki & Kozuka, Masafumi, 2024. "Stock market response to public investment under the zero lower bound: Cross-industry evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 71(C).
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    7. Ailie Charteris & Conrad Alexander Steyn, 2023. "The Bank of Japan’s exchange traded fund purchases: a help or hindrance to market efficiency?," Journal of Asset Management, Palgrave Macmillan, vol. 24(3), pages 225-240, May.
    8. Mostafa Raeisi Sarkandiz & Robabeh Bahlouli, 2019. "The Stock Market between Classical and Behavioral Hypotheses: An Empirical Investigation of the Warsaw Stock Exchange," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 4(2), pages 67-88, December.
    9. Rizvi, Syed Aun R. & Arshad, Shaista, 2017. "Analysis of the efficiency–integration nexus of Japanese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 296-308.
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