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Generative Financial Modelling for Crypto Risk Management

We focus on emerging crypto markets, where derivative markets are relatively developed but historical data is scarce. We aim to generate realistic, arbitrage-free synthetic time series (spot + volatility surface) to enable robust hedging of portfolios and laying the foundation for ML techniques.

https://www.aramis.admin.ch/Grunddaten/?ProjectID=60157

Category

Innosuisse

Reference number

134.132 INNO-ICT

Project start

19.03.2026

Project end

18.09.2026

Project duration

6 Months

Status

laufend

Area

IFL-OST

We focus on emerging crypto markets, where derivative markets are relatively developed but historical data is scarce. We aim to generate realistic, arbitrage-free synthetic time series (spot + volatility surface) to enable robust hedging of portfolios and laying the foundation for ML techniques.

https://www.aramis.admin.ch/Grunddaten/?ProjectID=60157

Persons

Prof. Dr.

Thomas Krabichler

Project manager
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