Disponible en Español

CEMLA Course: Financial Mathematics (practical)

November 18 - 20, 2025
CEMLA Mexico City, Mexico
Face-to-face format

Organizing Institutions

Center for Latin American Monetary Studies, A. C. (CEMLA)

Content

This course will review the topics covered in the CEMLA Course: Introductory Financial Mathematics, but with an emphasis on developing practical case studies. Additionally, other topics will be explored, such as the use of machine learning techniques in derivative valuation and hedging strategies.

Objective

The objective of the course is to deepen the practical application of financial mathematics by addressing real-world cases and exploring advanced tools, such as machine learning, for derivative valuation and hedging strategy design. Furthermore, it aims to complement the knowledge acquired in the CEMLA Course: Introductory Financial Mathematics, with a problem-solving and decision-making approach in financial markets.

Aimed at

This course is designed for analysts, junior researchers, and mid-level officials working in economic research, financial stability, risk management, or related areas within CEMLA member institutions who have participated in the CEMLA Course: Introductory Financial Mathematics.

Coordinator