Hedging Error Analysis

Hedging Error Analysis is a quantitative method in financial mathematics that measures the discrepancy between the theoretical and actual performance of a hedging strategy, distinguished by its focus on evaluating the accuracy and robustness of derivative hedging models under real-world market conditions.

42

Publications

1.6K

Citations

67

Authors

61

Institutions

Publications per year

2017–2026

2

Authors

67

  1. JK
    Jan Kallsen

    Christian-Albrechts-Universität zu Kiel, Germany

    4 publications · 102 citations

    4

    h-index

  2. YY
    Yuji Yamada

    University of Tsukuba, Japan

    4 publications · 61 citations

    4

    h-index

  3. JA
    James A. Primbs

    Stanford University, United States

    4 publications · 68 citations

    4

    h-index

  4. YZ
    Yonggan Zhao

    Dalhousie University, Canada

    2 publications · 46 citations

    2

    h-index

  5. EG
    Emmanuel Gobet

    École Polytechnique, France

    2 publications · 93 citations

    2

    h-index

1–5 of 67

Venues

  1. Mathematical Finance

    4 publications · 111 citations

    4

    h-index

  2. Quantitative Finance

    4 publications · 140 citations

    4

    h-index

  3. Finance research letters

    3 publications · 64 citations

    3

    h-index

  4. Journal of Financial and Quantitative Analysis

    JFQA · 3 publications · 187 citations

    3

    h-index

  5. Journal of Futures Markets

    3 publications · 73 citations

    3

    h-index

1–5