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Multivariate downside risk: Normal versus Variance Gamma

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  • Martin Wallmeier
  • Martin Diethelm

Abstract

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Suggested Citation

  • Martin Wallmeier & Martin Diethelm, 2012. "Multivariate downside risk: Normal versus Variance Gamma," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(5), pages 431-458, May.
    • Handle: RePEc:wly:jfutmk:v:32:y:2012:i:5:p:431-458
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    Cited by:

    1. Gian P. Cervellera & Marco P. Tucci, 2017. "A note on the Estimation of a Gamma-Variance Process: Learning from a Failure," Computational Economics, Springer;Society for Computational Economics, vol. 49(3), pages 363-385, March.
    2. Roman V. Ivanov, 2018. "Option Pricing In The Variance-Gamma Model Under The Drift Jump," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 1-19, June.
    3. Kunz, Alexis H. & Messner, Claude & Wallmeier, Martin, 2017. "Investors’ risk perceptions of structured financial products with worst-of payout characteristics," Journal of Behavioral and Experimental Finance, Elsevier, vol. 15(C), pages 66-73.
    4. Roman V. Ivanov, 2023. "The Semi-Hyperbolic Distribution and Its Applications," Stats, MDPI, vol. 6(4), pages 1-21, October.
    5. Marina Marena & Andrea Romeo & Patrizia Semeraro, 2015. "Pricing multivariate barrier reverse convertibles with factor-based subordinators," Carlo Alberto Notebooks 439, Collegio Carlo Alberto.
    6. Salem, Marwa Belhaj & Fouladirad, Mitra & Deloux, Estelle, 2022. "Variance Gamma process as degradation model for prognosis and imperfect maintenance of centrifugal pumps," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    7. Elisa Luciano & Marina Marena & Patrizia Semeraro, 2013. "Dependence Calibration and Portfolio Fit with FactorBased Time Changes," Carlo Alberto Notebooks 307, Collegio Carlo Alberto, revised 2015.

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