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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

Kategorie

Innosuisse

Referenznummer

134.132 INNO-ICT

Projektstart

19.03.2026

Projektende

18.09.2026

Projektdauer

6 Months

Projektstatus

laufend

Bereich

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

Personen

Prof. Dr.

Thomas Krabichler

Projektverantwortlich
Zum Detail

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