Optimal hedging under constraints

Team:

Bence Ónódy, Gábor Fáth
Student level:
MSc
risk-hedge

This project offers an exciting opportunity for students to delve into the intricate realm of finance and risk management. Participants will grapple with the challenge of determining the optimal hedging strategy in a volatile multi-factor market, where hedging instruments are limited and trading costs add complexity. Through this exploration, students will gain invaluable insights into quantitative finance, optimization techniques, and risk mitigation strategies. By addressing the fundamental question of how to effectively hedge in such constrained environments, participants will contribute to enhancing risk management practices in real-world scenarios, such as portfolio management, asset allocation, and trading. Join us in unraveling the nuances of optimal hedging under constraints and play a pivotal role in shaping the future of robust risk management strategies.

risk-hedge

This project offers an exciting opportunity for students to delve into the intricate realm of finance and risk management. Participants will grapple with the challenge of determining the optimal hedging strategy in a volatile multi-factor market, where hedging instruments are limited and trading costs add complexity. Through this exploration, students will gain invaluable insights into quantitative finance, optimization techniques, and risk mitigation strategies. By addressing the fundamental question of how to effectively hedge in such constrained environments, participants will contribute to enhancing risk management practices in real-world scenarios, such as portfolio management, asset allocation, and trading. Join us in unraveling the nuances of optimal hedging under constraints and play a pivotal role in shaping the future of robust risk management strategies.