IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2605.29102.html

Implying Volatility: How Fast Can We Go?

Author

Listed:
  • Fabien Le Floc'h
  • Jherek Healy

Abstract

FlashIV is a low-latency Black--Scholes implied-volatility solver for production use. It normalises each input to an out-of-the-money price and solves a tail-stable erfcx/log-price residual. The hot path combines a cheap Li/asymptotic seed with a fixed, branch-light Householder refinement and guarded boundary handling. Across regular and stressed benchmarks, FlashIV stays close to the expanded J\"ackel reference price while running materially faster than a normalised Java port of J\"ackel's \emph{Let's Be Rational}. FlashIV+ adds an optional J\"ackel--Newton correction for applications that need tighter agreement with that reference price, trading latency for reference-price alignment.

Suggested Citation

  • Fabien Le Floc'h & Jherek Healy, 2026. "Implying Volatility: How Fast Can We Go?," Papers 2605.29102, arXiv.org.
  • Handle: RePEc:arx:papers:2605.29102
    as

    Download full text from publisher

    File URL: https://arxiv.org/pdf/2605.29102
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dan Stefanica & Radoš Radoičić, 2017. "An Explicit Implied Volatility Formula," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(07), pages 1-32, November.
    2. Zhenyu Cui & Yanchu Liu & Yuhang Yao, 2025. "Tighter Bounds for Implied Volatility With the Dirac Delta Family Method," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(11), pages 1970-1988, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhenyu Cui & Wen Su & Zhimin Zhang, 2025. "Approximating the Dynamic VaR Risk Measure in Ruin Theory," Methodology and Computing in Applied Probability, Springer, vol. 27(4), pages 1-26, December.
    2. Jaehyuk Choi & Minsuk Kwak & Chyng Wen Tee & Yumeng Wang, 2022. "A Black–Scholes user's guide to the Bachelier model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(5), pages 959-980, May.
    3. Geon Lee & Tae-Kyoung Kim & Hyun-Gyoon Kim & Jeonggyu Huh, 2022. "Newton Raphson Emulation Network for Highly Efficient Computation of Numerous Implied Volatilities," Papers 2210.15969, arXiv.org.
    4. Fabien Le Floc'h, 2026. "Faster Monotone Implied Volatility Solver," Papers 2605.22427, arXiv.org, revised May 2026.
    5. Jim Gatheral & Ivan Matić & Radoš Radoičić & Dan Stefanica, 2017. "Tighter Bounds For Implied Volatility," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(05), pages 1-14, August.
    6. Wolfgang Schadner, 2026. "An Explicit Solution to Black-Scholes Implied Volatility," Papers 2604.24480, arXiv.org, revised May 2026.
    7. Olesya Grishchenko & Xiao Han & Victor Nistor, 2018. "A volatility-of-volatility expansion of the option prices in the SABR stochastic volatility model," Papers 1812.09904, arXiv.org.
    8. Yuxuan Xia & Zhenyu Cui, 2018. "An exact and explicit implied volatility inversion formula," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 1-29, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2605.29102. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: https://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.