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Intra-Horizon Expected Shortfall and Risk Structure in Models with Jumps

Author

Listed:
  • Walter Farkas

    (University of Zurich - Department of Banking and Finance; Swiss Finance Institute; ETH Zurich)

  • Ludovic Mathys

    (University of Zurich - Department of Banking and Finance)

  • Nikola Vasiljevic

    (University of Zurich, Department of Banking and Finance)

Abstract

The present article deals with intra-horizon risk in models with jumps. Our general understanding of intra-horizon risk is along the lines of the approach taken in [BRSW04], [Ro08], [BMK09], [BP10], and [LV19]. In particular, we believe that quantifying market risk by strictly relying on point-in-time measures cannot be deemed a satisfactory approach in general. Instead, we argue that complementing this approach by studying measures of risk that capture the magnitude of losses potentially incurred at any time of a trading horizon is necessary when dealing with (m)any financial position(s). To address this issue, we propose an intra-horizon analogue of the expected shortfall for general profit and loss processes and discuss its key properties. Our intra-horizon expected shortfall is well-defined for (m)any popular class(es) of Levy processes encountered when modeling market dynamics and constitutes a coherent measure of risk, as introduced in [CDK04]. On the computational side, we provide a simple method to derive the intra-horizon risk inherent to popular Levy dynamics. Our general technique relies on results for maturity-randomized first-passage probabilities and allows for a derivation of diffusion and single jump risk contributions. These theoretical results are complemented with an empirical analysis, where popular Levy dynamics are calibrated to S&P 500 index data and an analysis of the resulting intra-horizon risk is presented.

Suggested Citation

  • Walter Farkas & Ludovic Mathys & Nikola Vasiljevic, 2019. "Intra-Horizon Expected Shortfall and Risk Structure in Models with Jumps," Swiss Finance Institute Research Paper Series 19-76, Swiss Finance Institute.
  • Handle: RePEc:chf:rpseri:rp1976
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    Citations

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    Cited by:

    1. Saswat Patra & Malay Bhattacharyya, 2020. "How Risky Are the Options? A Comparison with the Underlying Stock Using MaxVaR as a Risk Measure," Risks, MDPI, vol. 8(3), pages 1-17, July.
    2. Walter Farkas & Ludovic Mathys, 2020. "Geometric Step Options with Jumps. Parity Relations, PIDEs, and Semi-Analytical Pricing," Papers 2002.09911, arXiv.org.

    More about this item

    Keywords

    Intra-Horizon Risk; Value at Risk; Expected Shortfall; Levy Processes; Hyper-Exponential Distribution; Risk Decomposition;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G01 - Financial Economics - - General - - - Financial Crises
    • G51 - Financial Economics - - Household Finance - - - Household Savings, Borrowing, Debt, and Wealth

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