Cross-sectional Implied Volatility

Cross-Sectional Implied Volatility is a financial metric that quantifies the dispersion of implied volatility levels across different options or underlying assets at a given point in time, distinguishing it from time-series measures by focusing on variation across market instruments rather than over time.

30

Publications

1.9K

Citations

49

Authors

47

Institutions

Publications per year

2017–2026

5

Authors

49

  1. TG
    Turan G. Bali

    Georgetown University, United States

    5 publications · 864 citations

    5

    h-index

  2. AA
    Andrew Ang

    BlackRock (United States), United States

    3 publications · 388 citations

    3

    h-index

  3. NC
    Nusret Cakici

    Fordham University, United States

    3 publications · 388 citations

    3

    h-index

  4. PD
    Pasquale Della Corte

    Centre for Economic Policy Research, United Kingdom

    2 publications · 32 citations

    2

    h-index

  5. AN
    Anthony Neuberger

    London Business School, United Kingdom

    2 publications · 32 citations

    2

    h-index

1–5 of 49

Venues

  1. SSRN Electronic Journal

    Repository · 8 publications · 245 citations

    9

    h-index

  2. Journal of Financial Economics

    4 publications · 196 citations

    4

    h-index

  3. Global Finance Journal

    GFJ · 2 publications · 104 citations

    2

    h-index

  4. 2

    h-index

  5. AFRICAN JOURNAL OF BUSINESS MANAGEMENT

    AJBM · 1 publications · 24 citations

    1

    h-index

1–5