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Deep hedging in incomplete markets
This dissertation presents an extensive analysis of the neural network approximation of mean-variance hedging with a comparison between the current neural network approaches and the theoretical solutions. These theoretical solutions provide a simulation-based performance benchmark for this compariso...
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| Format: | Thesis |
| Language: | Eng |
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Department of Statistical Sciences
2024
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