Budget Amount *help |
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2020: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2019: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2018: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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Outline of Final Research Achievements |
This project aimed to derive an expression of the mean-variance hedging for the Barndorff-Nielsen and Shephard(BNS) model and develop its numerical scheme. The results obtained are (1) derivation of local risk-minimizing for digital options, (2) derivation of decomposition and approximation formulas for option prices for the BNS model, and (3) computation of option prices for the BNS model using unsupervised deep learning.
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