Institution: The University of Hong Kong (HKU) – Faculty of Business & Economics
Course: Advanced Quantitative Finance (FINA3350)
Grade: DISTINCTION LEVEL NOTES
1. THE 2026 TRADING LANDSCAPE
Quantum-Ready Algorithms: How HKEX is transitioning to quantum-resistant encryption for
HFT (High-Frequency Trading).
AI Agent Swarms: Moving beyond simple ML to autonomous AI agents that execute
multi-leg strategies across NYC, London, and HK markets simultaneously.
2. PREDICTIVE ANALYTICS & REINFORCEMENT LEARNING
Deep Q-Learning: Using reinforcement learning for optimal order execution to minimize
market impact (Slippage reduction by 40%).
Alternative Data: Integrating real-time satellite imagery and supply chain AI to predict
quarterly earnings before official announcements.
3. RISK MANAGEMENT & BLACK SWAN PROTOCOLS
Stress Testing 2.0: AI-simulated "flash crash" scenarios based on the 2025 volatility spikes.
Neutralizing Bias: Methods for removing "hallucination" in financial LLMs used for sentiment
analysis on Bloomberg terminals.
4. 2026 EXAM FOCUS BIBLE
Key Concept: The Kelly Criterion vs. AI Risk Management.
Key Concept: Backtesting Overfitting in Neural Networks.
Case Study: The HKMA 2026 Digital Yuan integration impact on liquidity.