Bayesian Neural Networks for Option Pricing
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Bachelor Thesis
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Abstract
This thesis develops a novel approach for pricing European options through Bayesian machine learning. Exploring popular techniques such as the COS method, Neural networks and MC dropout and utilising their advantages in a unique way.
Keywords
Option pricing; European Options; Bayesian Machine Learning; COS Method; Bayesian Neural Networks; Financial Mathematics;