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Drawdown risk measures for asset portfolios with high frequency data

Author

Listed:
  • Giovanni Masala

    (Università degli Studi di Cagliari)

  • Filippo Petroni

    (Università Politecnica delle Marche)

Abstract

In this paper, we analyze Drawdown-based risk measures for an equity portfolio with high-frequency data. The returns of individual stocks are modeled through multivariate weighted-indexed semi-Markov chains with a copula dependence structure. Through this recently published model, we show that the estimate of Drawdown-based risk measures is more faithful than that obtained with the application of classic econometric models.

Suggested Citation

  • Giovanni Masala & Filippo Petroni, 2023. "Drawdown risk measures for asset portfolios with high frequency data," Annals of Finance, Springer, vol. 19(2), pages 265-289, June.
    • Handle: RePEc:kap:annfin:v:19:y:2023:i:2:d:10.1007_s10436-022-00421-y
    DOI: 10.1007/s10436-022-00421-y
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    References listed on IDEAS

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    More about this item

    Keywords

    Drawdown risk measure; Weighted-indexed semi-Markov models; Asset portfolio; High-frequency data; Right censoring; GARCH models;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • G30 - Financial Economics - - Corporate Finance and Governance - - - General

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