CFEM and UBS AI & Data Research Seminars: Dr. Miquel Noguer i Alonso
Welcome to the Fall 2024 CFEM & UBS Seminars! We have an exciting lineup of speakers for this semester that you won’t want to miss. First up is Dr. Miquel Noguer i Alonso, Ph.D., Founder of the Artificial Intelligence Finance Institute. His talk is titled “LLM in Quantitative Finance.”
This webinar is free and open to all. Registration is required (RSVP). You will receive the webinar link and dial-in info upon registration (the confirmation email will come from [email protected]).
Abstract
We will explore 3 user cases LLMs for Algorithmic Trading , as a Financial Analyst and LLM time series:
1. LLMs in Algorithmic Trading: Enhance strategies by analyzing market data, predicting trends, and automating real-time trading decisions for better profitability.
2. LLMs for Financial Analysts: Automate financial report generation, data analysis, and provide actionable insights, improving efficiency and accuracy in investment decisions.
3. LLMs in Time Series Analysis: Improve forecasting models by recognizing complex patterns and trends, enhancing predictions for demand forecasting, asset pricing, and market volatility.
Bio:
Miquel Noguer i Alonso is a seasoned financial professional and academic with over 30 years of experience in the industry. He is the Founder of the Artificial Intelligence Finance Institute and Head of Development at Global AI. His career includes roles such as Executive Director at UBS AG and CIO for Andbank. He has served on the European Investment Committee UBS for a decade. He is on the advisory board of FDP Institute and CFA NY.
Mr. Noguer is also an academic, teaching AI, Big Data, and Fintech at institutions like NYU Courant Institute, NYU Tandon, Columbia University, and ESADE. He pioneered the first Fintech and Big Data course at the London Business School in 2017. He is the author of 10 papers on Artificial Intelligence.
He holds an M.B.A. and a degree in business administration from ESADE, a Ph.D. in quantitative finance from UNED, and other prestigious certifications. His research interests span asset allocation, machine learning, algorithmic trading, and Fintech.
