From Wall Street to Main Street: The Challenges and Opportunities for Leveraging Lessons from Financial Market
It takes over 400 years for the stock market to evolve into a semi-efficient market today. What lessons can be transferred beyond the capital market? Nasdaq has been working on bringing the experience and tools we had for the financial markets to broader use cases. This talk will demonstrate our journey to improve the efficiency in non-financial markets by leveraging market data, market architecture, and machine learning models. The talk will also cover different challenges we had along with some potential solutions.
Key Takeaways: • The challenges of building a market place • The potential technology people can use for building a market place • The use cases of the market data
Shihui (Sophie) Chen is a Data Scientist at NASDAQ’s Machine Intelligence Lab, a group dedicated to leveraging AI to improve financial markets and solutions. Her previous projects covered alternative data research, risk management, portfolio construction, and optimization. She holds a Masters of Finance degree from MIT.