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What is the best Lévy model for stock indices? A comparative study with a view to time consistency

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  • Till Massing

    (University of Duisburg-Essen)

Abstract

Lévy models are frequently used for asset log-returns. An important criterion is the distributional assumption on the increments. Candidates include, for example, the generalized hyperbolic, the normal inverse Gaussian, and the (skew) Student–Lévy process. We perform a comparative study for multiple equity indices of different countries using different Lévy models to determine the best fit using the Kolmogorov–Smirnov statistic, the Anderson–Darling statistic, and the Bayesian information criterion as goodness-of-fit measures. We fit Lévy models both to daily and to hourly log-returns. To date, the literature has paid little attention to the question of whether these Lévy models for daily returns also fit well at higher frequencies, that is, intraday returns, and vice versa. Eberlein and Özkan (Quant Finance 3(1):40–50, 2003) called this “time consistency.” Our key finding is that there are time inconsistencies. This means that some models that fit well for daily returns, for example, the variance gamma model, fit poorly for hourly returns. We find that the Student–Lévy process is a more appropriate alternative.

Suggested Citation

  • Till Massing, 2019. "What is the best Lévy model for stock indices? A comparative study with a view to time consistency," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(3), pages 277-344, September.
  • Handle: RePEc:kap:fmktpm:v:33:y:2019:i:3:d:10.1007_s11408-019-00335-2
    DOI: 10.1007/s11408-019-00335-2
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    References listed on IDEAS

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    Cited by:

    1. A. Alexandre Trindade & Abootaleb Shirvani & Xiaohan Ma, 2020. "A Socioeconomic Well-Being Index," Applied Economics and Finance, Redfame publishing, vol. 7(4), pages 48-62, July.
    2. Juraj Pekár & Mário Pčolár, 2022. "Empirical distribution of daily stock returns of selected developing and emerging markets with application to financial risk management," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(2), pages 699-731, June.
    3. Massing, Till & Ramos, Arturo, 2021. "Student’s t mixture models for stock indices. A comparative study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).

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    More about this item

    Keywords

    Stock index returns; Generalized hyperbolic distribution; Time consistency; Goodness of fit;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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