Commodity Option Volatility Forecasting

Commodity Option Volatility Forecasting is a quantitative method within financial econometrics that specifically models and predicts the future volatility of options derived from physical commodities by leveraging historical price dynamics, implied volatility indicators, and market sentiment factors unique to commodity markets.

6

Publications

281

Citations

10

Authors

7

Institutions

Publications per year

2017–2026

1

Authors

10

  1. WR
    Wang RuiZhi

    Ningbo University, China

    1 publications · 53 citations

    1

    h-index

  2. RJ
    Robert J. Hauser

    University of Illinois Urbana-Champaign, United States

    1 publications · 15 citations

    1

    h-index

  3. DP
    David P. Simon

    Bentley University, United States

    1 publications · 31 citations

    1

    h-index

  4. YZ
    Yongmin Zhang

    Zhejiang University, China

    1 publications · 53 citations

    1

    h-index

  5. TM
    Thorsten M. Egelkraut

    Oregon State University, United States

    1 publications · 25 citations

    1

    h-index

1–5 of 10

Venues

  1. Journal of Futures Markets

    1 publications · 31 citations

    1

    h-index

  2. Finance research letters

    1 publications · 53 citations

    1

    h-index

  3. Long Range Planning

    1 publications · 38 citations

    1

    h-index

  4. Journal of Forecasting

    1 publications · 119 citations

    1

    h-index

  5. AgEcon Search (University of Minnesota, USA)

    Repository · 1 publications · 25 citations

    1

    h-index

1–5