Deep Dive: Ai + Finance
Curated to help students engage in specialized learning of how AI is transforming financial markets.Students get a chance to build real world, impactful group projects in the field of AI and finance!
Program Structure
Weeks 1 to 2:
Introduction to AI and Finance
Weeks 3 to 5:
Receive an introduction to key topics in AI and finance - including Exploratory Data Analysis, Regressions, Convolutional Neural Networks, and more
Weeks 6 to 10:
Deep dive into some more complex topics
Program Details
This program is conducted entirely online!
Duration
25 hours over 10 weeks (weekends).
Structure
Section lectures for 1.5 hours and group session with a 5:1 student to mentor ratio for 1 hour (total: 2.5 hours per session).
Pre-requisites
Completion of AI Scholars or background in coding.
Student Background
Grades 8-12.
Output
A group project with 3-5 other students.
Here is our program brochure for more details!
deep dive: ai + finance course syllabus
deep dive: ai + finance course syllabus
Lecture 1:
Theory
Lecture 2: Code Walk-Through
Hands-on Session:
Small Group
Session 01
Financial Instruments: Stocks, Bonds, and Derivatives
Data Accessibility and Time Series
Hands-on work (C)
Session 02
Principles of Finance: Risk and Reward
VaR, Drawdown, Sharpe Ratio, and Normality
Hands-on work (C)
Session 03
Efficient Frontier: Markowitz Optimization, CAPM, and Sharpe
Developing the Efficient Frontier
Hands-on work (C)
Session 04
Random Walks and Monte Carlo Simulations
Simulations of Stock Returns
Hands-on work (C)
Session 05
Risk Management: Exposure, Hedging, and Validation
Graphical Networks
Hands-on work (C)
Session 06
Factor Models + Fama French
Deploying Factor Model Signals
Hands-on work (C)
Session 07
Universe Selection and Clustering
Clustering, Ridge, and LASSO for Universe Selection
Project: Baseline Model
Session 08
NLP and Sentiment Analysis
Trend filtering, sentiment scores, and corpus processing
Project: Advanced Model
Session 09
Disaster Strikes! When AI in Finance Fails
Project work: Final Presentation
Project work: Final Presentation
Session 10
Project work
Presentations
Closing Ceremony