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Volatility Model for Financial Market Risk Management : An Analysis on JSX Index Return Covariance Matrix

Author

Listed:
  • Erie Febrian

    (Finance & Risk Management Study Group (FRMSG) FE UNPAD)

  • Aldrin Herwany

    (Research Division, Laboratory of Management FE UNPAD)

Abstract

In measuring risk, practitioners have practiced one of the two extreme approaches for so long, i.e. historical simulation or risk metrics. Meanwhile, academicians tend to apply methods based on the latest development in financial econometrics. In this study, we try to assess one of important issues in financial econometric development that focuses on market risk measurement and management employing asset-based models, i.e. models that apply dimensional covariance matrix, which is relevant to practice world. We compare covariance matrix model with Exponential Smoothing Model and GARCH Derivation and the Associated Derivation Models, using JSX Stock price Index data in 2000-2005. The result of this study shows how applicable the observed financial econometric instrument in Financial Market Risk Management practice.

Suggested Citation

  • Erie Febrian & Aldrin Herwany, 2010. "Volatility Model for Financial Market Risk Management : An Analysis on JSX Index Return Covariance Matrix," Working Papers in Business, Management and Finance 201004, Department of Management and Business, Padjadjaran University, revised Apr 2010.
    • Handle: RePEc:unp:wpaman:201004
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    References listed on IDEAS

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    2. Aggarwal, Reena & Inclan, Carla & Leal, Ricardo, 1999. "Volatility in Emerging Stock Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 34(1), pages 33-55, March.
    3. Torben G. Andersen & Tim Bollerslev & Peter Christoffersen & Francis X. Diebold, 2007. "Practical Volatility and Correlation Modeling for Financial Market Risk Management," NBER Chapters, in: The Risks of Financial Institutions, pages 513-544, National Bureau of Economic Research, Inc.
    4. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    5. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2003. "Modeling and Forecasting Realized Volatility," Econometrica, Econometric Society, vol. 71(2), pages 579-625, March.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Risk Management; Volatility Model;

    JEL classification:

    • G0 - Financial Economics - - General

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