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A Skewed Student-t Value-at-Risk Approach for Long Memory Volatility Processes in Japanese Financial Markets

Author

Listed:
  • Yoon, Seong¡-Min

    (Pukyong National University)

  • Kang, Sang-Hoon

    (University of South Australia)

Abstract

This paper investigates the relevance of skewed Student-t distributions in capturing long memory volatility properties in the daily return series of Japanese financial data (Nikkei 225 Index and JPY-USD exchange rate). For this purpose, we assess the performance of two long memory Value-at-Risk (VaR) models (FIGARCH and FIAPARCH VaR model) with three different distribution innovations: the normal, Student-t, and skewed Student-t distributions. From our results, we find that the skewed Student-t distribution model produces more accurate VaR estimations than normal and Student-t distribution models. Thus, accounting for skewness and excess kurtosis in the asset return distribution can provide suitable criteria for VaR model selection in the context of long memory volatility and enhance the performance of risk management in Japanese financial markets.

Suggested Citation

  • Yoon, Seong¡-Min & Kang, Sang-Hoon, 2007. "A Skewed Student-t Value-at-Risk Approach for Long Memory Volatility Processes in Japanese Financial Markets," East Asian Economic Review, Korea Institute for International Economic Policy, vol. 11(1), pages 211-240, June.
    • Handle: RePEc:ris:eaerev:0159
    DOI: 10.11644/KIEP.JEAI.2007.11.1.169
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    Cited by:

    1. Mesut BALLIBEY & Serpil T RKYILMAZ, 2014. "Value-at-Risk Analysis in the Presence of Asymmetry and Long Memory: The Case of Turkish Stock Market," International Journal of Economics and Financial Issues, Econjournals, vol. 4(4), pages 836-848.
    2. Zouheir Mighri & Raouf Jaziri, 2023. "Long-Memory, Asymmetry and Fat-Tailed GARCH Models in Value-at-Risk Estimation: Empirical Evidence from the Global Real Estate Markets," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(1), pages 41-97, March.

    More about this item

    Keywords

    Value-at-Risk; Japanese Financial Markets; Volatility; Asymmetry; Long Memory; Skewed Student-t Distribution;
    All these keywords.

    JEL classification:

    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G38 - Financial Economics - - Corporate Finance and Governance - - - Government Policy and Regulation

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