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An investigation of fat-tailed distributions in fitting the Japanese stock market returns

Author

Listed:
  • Kengo Kayaba
  • Yui Hirano
  • Naoki Ueda
  • Nobuki Matsui

Abstract

The Tokyo Stock Exchange (TSE) is the fourth largest stock exchange in the world by aggregate market capitalization of its listed companies and largest in East Asia and Asia. It is of great importance for those in charge of managing risk to understand how its market index returns are distributed. The goal of this paper is to examine how various types of heavy-tailed distribution perform in risk management of the N225 Index returns. We compared these heavy-tailed distributions through a variety of criteria. Our results indicate the generalized hyperbolic distribution has the best goodness of fit and generates most suitable risk measures.

Suggested Citation

  • Kengo Kayaba & Yui Hirano & Naoki Ueda & Nobuki Matsui, 2018. "An investigation of fat-tailed distributions in fitting the Japanese stock market returns," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 8(2), pages 1399-1399.
    • Handle: RePEc:ers:ijfirm:v:8:y:2018:i:2:p:1399
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    References listed on IDEAS

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    2. Hansen, Bruce E, 1994. "Autoregressive Conditional Density Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(3), pages 705-730, August.
    3. A.S.M. Sohel Azad, 2009. "Efficiency, Cointegration and Contagion in Equity Markets: Evidence from China, Japan and South Korea," Asian Economic Journal, East Asian Economic Association, vol. 23(1), pages 93-118, March.
    4. Guo, Zi-Yi, 2017. "Empirical Performance of GARCH Models with Heavy-tailed Innovations," EconStor Preprints 167626, ZBW - Leibniz Information Centre for Economics.
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