Maria Ma

Main Day 1 | June 10th

How can you implement data-driven insights to identify and capitalize on market inefficiencies and enhance portfolio returns?
How can you utilize disciplined risk controls to manage exposure during volatile periods, and reduce downside risk whilst maintaining liquidity?
How can you apply scientific testing of investment ideas to validate fundamental insights and respond to changing market conditions?
How can you leverage advanced technology and quantitative models to process large datasets and enable timely and efficient execution of trades?
How can you adopt a systematic approach to portfolio construction to achieve targeted outcomes and enhance liquidity?

How can you leverage AI and ML tools to optimize private credit investing?
What are the best techniques to balance diversification, liquidity, and risk management when adding private credit to institutional portfolios?
How can you navigate the complexities of sourcing, standardizing, and utilizing private company data to improve investment decisions, compared to public markets?
How can you capitalize on emerging market trends including the convergence of public and private markets and the rising demand for retail investor access to private credit strategies?
How can you identify the right private credit strategy for your investment goals?