The use of sophisticated mathematical tools in financial engineering ranging from partial differential equations to stochastic analysis and numerical methods has been growing steadily during the past few decades. On the one hand, the mathematical tools and results have impacted the way financial phenomena are modeled and understood, and how risk is assessed and managed. On the other hand, the financial industry has been presenting a number of mathematical and computational challenges to researchers.

This is the nineteenth conference hosted by our Math Finance group on the subject. It is a follow up of the highly successful previous editions. Each one had in its attendance about 100 participants evenly spread from academia and industry. This year we will focus on different aspects of mathematical finance including (but not limited to) option pricing, fixed income, volatility trading, real options, commodities, algorithmic trading, portfolio and risk management.

In 2024 we reverse the usual schedule and host the academic talks from Wednesday to Friday and the minicourses on Saturday and Sunday. The minicourses will be aimed at both practioners and students. 

Organizing & Scientific Committee:

- Vinicius Albani (UFSC)
- Bruno Dupire (Bloomberg)
- Sebastian Jaimungal (University of Toronto)
- Yuri Saporito (FGV EMAp)
- Max O. Souza (UFF)
- Rodrigo Targino (FGV EMAp)
- Jorge P. Zubelli (Khalifa University)