Nonparametric Stochastic Volatility

Nonparametric Stochastic Volatility is a stochastic volatility framework that belongs to the class of financial econometric models and is distinguished by its avoidance of predefined parametric assumptions regarding the functional form of volatility dynamics, allowing instead for data-driven estimation of the volatility process.

24

Publications

900

Citations

27

Authors

33

Institutions

Publications per year

2017–2026

3

Authors

27

  1. RR
    Roberto Renò

    University of Siena, Italy

    4 publications · 135 citations

    4

    h-index

  2. JE
    Jim E. Griffin

    University of Kent, United Kingdom

    3 publications · 76 citations

    3

    h-index

  3. FM
    Federico M. Bandi

    Johns Hopkins University, United States

    3 publications · 94 citations

    3

    h-index

  4. GT
    George Tauchen

    Duke University, United States

    2 publications · 87 citations

    2

    h-index

  5. ED
    Eleni-Ioanna Delatola

    University of Kent, United Kingdom

    2 publications · 63 citations

    2

    h-index

1–5 of 27

Venues

  1. SSRN Electronic Journal

    Repository · 5 publications · 171 citations

    5

    h-index

  2. Econometric Theory

    3 publications · 153 citations

    3

    h-index

  3. The Annals of Statistics

    2 publications · 72 citations

    2

    h-index

  4. The Journal of Human Resources

    JHR · 1 publications · 44 citations

    1

    h-index

  5. Institutional Repositories DataBase (IRDB)

    Repository · 1 publications · 32 citations

    1

    h-index

1–5