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Is it Brownian or fractional Brownian motion?

Author

Listed:
  • Li, Meiyu
  • Gençay, Ramazan
  • Xue, Yi

Abstract

Fractional Brownian motion embeds Brownian motion as a special case and offers more flexible diffusion component for pricing models. We propose test statistics based on bi-power variation for testing Brownian motion against fractional Brownian motion alternatives. To filter out the prevalent existence of finite large jumps, a truncation method based on Hurst index estimator is proposed. Simulation results confirm the consistency of jump truncation framework with desirable empirical size and viable empirical power for our tests.

Suggested Citation

  • Li, Meiyu & Gençay, Ramazan & Xue, Yi, 2016. "Is it Brownian or fractional Brownian motion?," Economics Letters, Elsevier, vol. 145(C), pages 52-55.
  • Handle: RePEc:eee:ecolet:v:145:y:2016:i:c:p:52-55
    DOI: 10.1016/j.econlet.2016.05.012
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    References listed on IDEAS

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    7. Rostek, Stefan & Schöbel, Rainer, 2006. "Risk preference based option pricing in a fractional Brownian market," Tübinger Diskussionsbeiträge 299, University of Tübingen, School of Business and Economics.
    8. Duan, Yunpeng & Xue, Yi, 2014. "Bipower variation with jumps and correlated returns," Economics Letters, Elsevier, vol. 125(3), pages 367-371.
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    Cited by:

    1. Jia Yue & Ben-Zhang Yang & Ming-Hui Wang & Nan-Jing Huang, 2019. "Asset Prices with Investor Protection and Past Information," Papers 1911.00281, arXiv.org, revised Apr 2020.
    2. Keshab Shrestha, 2021. "Multifractal Detrended Fluctuation Analysis of Return on Bitcoin," International Review of Finance, International Review of Finance Ltd., vol. 21(1), pages 312-323, March.
    3. Sikora, Grzegorz, 2018. "Statistical test for fractional Brownian motion based on detrending moving average algorithm," Chaos, Solitons & Fractals, Elsevier, vol. 116(C), pages 54-62.

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    More about this item

    Keywords

    Fractional Brownian motion; Hurst index test; Bi-power variation; Finite jumps;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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