Žan Žurič
Imperial College London
Žan Žurič is a PhD student in CDT of Mathematics of Random Systems at Imperial College London. He holds a BSc degree in Physics and a MSc in Quantitative Finance from ETH and UZH. His research is focused on numerical aspects of option pricing and applications of deep learning to mathematical finance. I also work part-time as a Quantitative Researcher at Kaiju Capital Management.
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Articles by Žan Žurič
Robust pricing and hedging via neural stochastic differential equations
The authors propose a model called neural SDE and demonstrate how this model can make it possible to find robust bounds for the prices of derivatives and the corresponding hedging strategies.