DeFi, inflation and python, ESG Investing, NFTs, volatility, machine learning. There was hardly a topic that wasn't covered at QuantMinds International 2022.
Leading quantitative researchers came together in Barcelona from 7-12 November, and we spoke to key note speakers on their research, the challenges they've met and what they are excited from in the future. Hear from some of them below:
Katia Babbar, Co-Founder at Immersive Finance, joined us for a talk about discovering the world of decentralized finance, her work in this field and what challenges and opportunities lies ahead.
Julien Guyon, Professor at Ecole des Ponts ParisTech, takes us through his work on the the 4-factor path-dependent volatility model and what challenges and surprises he has encountered.
Carol Alexander, Professor at University of Sussex and Jessica James, Managing Director, Senior Quantitative Researcher at Commerzbank AG joined us for a conversation about non-refundable tokens, NFT's, what they current landscape looks like and what the future holds. Why are they interesting, and what should you look out for (and maybe, be scared about)?
Christian Kappen, Manager at d-fine, discusses the challenges he has met when working with machine learning in risk and pricing, what opportunities he has found and how he sees machine learning developing in the future.
Wim Schoutens, Professor of financial engineering at University of Leuven, joined us to talk about the challenges to sustainable investing, the dangers of greenwashing and what lies ahead.