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Un MEDAF à plusieurs moments réalisés

Author

Listed:
  • Christophe Hurlin

    (LEO - Laboratoire d'économie d'Orleans [2008-2011] - UO - Université d'Orléans - CNRS - Centre National de la Recherche Scientifique)

  • Patrick Kouontchou

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Bertrand Maillet

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, A.A.Advisors-QCG - ABN AMRO, EIF - Europlace Institute of Finance)

Abstract

This paper generalizes the Bollerslev and Zhang (2003) approach for the estimation of loadings of asset pricing models using "realized" measures and co-measures of risk. We propose here to extend this approach by including higher-moments in asset pricing models. Estimations are conducted using several methodologies aiming to neutralize data measurement and model misspecification errors, explicity dealing with the inter-relations between financial asset returns. An empirical application performed on a high- frequency French stock price database shows that realized higher-moment measures contribute to improve the global adjustment of the extended model with market data.

Suggested Citation

  • Christophe Hurlin & Patrick Kouontchou & Bertrand Maillet, 2010. "Un MEDAF à plusieurs moments réalisés," Post-Print halshs-00482370, HAL.
    • Handle: RePEc:hal:journl:halshs-00482370
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00482370
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    Cited by:

    1. Dimitrios Vortelinos & Angeliki Menegaki & Ioannis Passas & Alexandros Garefalakis & Georgios Viskadouros, 2024. "Heterogeneous Responses of Energy and Non-Energy Assets to Crises in Commodity Markets," Energies, MDPI, vol. 17(21), pages 1-25, October.
    2. Richard Mawulawoe Ahadzie & Nagaratnam Jeyasreedharan, 2024. "Higher‐order moments and asset pricing in the Australian stock market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 75-128, March.

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    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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