Quadratic Variation

Quadratic Variation is a stochastic process that quantifies the cumulative sum of squared increments of a given semimartingale over infinitesimal time intervals, serving as a fundamental measure of path irregularity in the context of continuous-time stochastic calculus.

284

Publications

18.3K

Citations

457

Authors

295

Institutions

Publications per year

2017–2026

27

Authors

457

  1. OE
    Ole E. Barndorff–Nielsen

    Aarhus University, Denmark

    13 publications · 5.8K citations

    13

    h-index

  2. FR
    Francesco Russo

    École Nationale Supérieure de Techniques Avancées, France

    9 publications · 383 citations

    9

    h-index

  3. NS
    Neil Shephard

    University of Oxford, United Kingdom

    9 publications · 3.5K citations

    9

    h-index

  4. MP
    Mark Podolskij

    Aarhus University, Denmark

    6 publications · 549 citations

    7

    h-index

  5. ÉG
    Éric Ghysels

    University of North Carolina at Chapel Hill, United States

    4 publications · 682 citations

    4

    h-index

1–5 of 457

Venues

  1. SSRN Electronic Journal

    Repository · 18 publications · 557 citations

    15

    h-index

  2. The Annals of Probability

    13 publications · 639 citations

    11

    h-index

  3. Stochastic Processes and their Applications

    11 publications · 556 citations

    10

    h-index

  4. Bernoulli

    7 publications · 267 citations

    7

    h-index

  5. 6

    h-index

1–5