High-frequency Implied Volatility

High-Frequency Implied Volatility is a volatility estimation framework that belongs to the class of implied volatility measures and is distinguished by its derivation from high-frequency options or underlying asset price data to capture intraday market dynamics and refine volatility forecasts with greater temporal precision.

28

Publications

2.1K

Citations

67

Authors

65

Institutions

Publications per year

2017–2026

9

Authors

67

  1. SJ
    Stephen J. Taylor

    Lancaster University, United Kingdom

    5 publications · 1.1K citations

    5

    h-index

  2. SP
    Ser‐Huang Poon

    University of Manchester, United Kingdom

    2 publications · 667 citations

    2

    h-index

  3. BB
    Bevan Blair

    Lancaster University, United Kingdom

    2 publications · 667 citations

    2

    h-index

  4. JF
    Jianqing Fan

    Princeton University, United States

    2 publications · 33 citations

    2

    h-index

  5. MB
    Michael B. Imerman

    Lehigh University, United States

    2 publications · 33 citations

    2

    h-index

1–5 of 67

Venues

  1. SSRN Electronic Journal

    Repository · 3 publications · 101 citations

    3

    h-index

  2. Journal of Econometrics

    3 publications · 721 citations

    3

    h-index

  3. Annals of Operations Research

    1 publications · 34 citations

    1

    h-index

  4. The Journal of Portfolio Management

    JPM · 1 publications · 12 citations

    1

    h-index

  5. Journal of Business and Economic Statistics

    JBES · 1 publications · 22 citations

    1

    h-index

1–5