Quantamental investing—a strategy that melds traditional fundamental analysis with data-intensive quantitative methods—has surged in popularity over the past decade. Today, it stands on the cusp of a transformative era: advanced AI models, once prohibitively expensive, are becoming more capable, affordable, and widespread. This technological leap is poised to redefine how we identify and exploit market inefficiencies. Imagine a team of tireless, ever-alert junior analysts who can analyze millions of corporate filings, news articles, and social media chatter in seconds—that's essentially what these next-generation AI systems offer.
Hong Kong’s trams have been a city icon for over a century, but ridership remains 15% below pre-pandemic levels due to slow speeds from traffic congestion. Dr. Vera Wing-han Yuen, an economics lecturer at the HKU Business School, highlights a unique advantage of trams—their ability to access Happy Valley, an area not easily reached by the MTR. To improve efficiency, dedicated tram lanes could help reduce delays. She also sees AI-powered scheduling as a solution: “AI can adjust schedules based on real-time traffic conditions, ensuring smoother and more evenly distributed services throughout the entire route.”