Financial markets are influenced by news, (micro)blogs and other categories of online streaming data. These sources of information reach financial market participants, such as traders, analysts, and fund managers, synchronously and asynchronously. In the past, informed traders and fund managers scrutinized this information to make asset allocation and risk management decisions.
In fact, together they create an efficient marketplace, as postulated in EMH by Nobel laureate Fama and his colleagues. A passive investor invests in a market index, believing that over the long term the investment will go up with the market, the index. However, active investors want to take advantage of market inefficiencies and seek ‘alpha’ in the short term.
In this webinar, experts in the field discuss the findings and explore different ways traders and fund managers can find the elusive “alpha.”
About the speaker
Dr. Ernest Chan
Dr. Ernest Chan is CEO of Predictnow, a financial machine learning company. ai, and award-winning quant he hedge he fund he manager and author of the acclaimed Quant Finance. Previously, he was a machine learning researcher at IBM TJ Watson Research Center and Morgan Stanley, and a proprietary trader at Credit Suisse.
Professor Gautam Mitra
Professor Gautam Mitra is the Founder and MD of OptiRisk Systems. He is an internationally renowned researcher in operational research in general and computational optimization and modeling in particular.
Dr. Matteo Camperone
Dr. Matteo is co-founder and executive chairman of Brain, a company focused on developing algorithms for trading strategies and investment decisions. He has a PhD in Physics and a Master’s in Business Administration. Dr. Matteo’s past work includes financial his modeling for financial institutions and enterprise risk and value-based management for operating companies. As a theoretical physicist, he worked in the fields of statistical mechanics of complex systems and nonlinear stochastic equations.
This webinar will be held at:
Thursday, March 2, 2023
8:30 AM EST | 7:00 PM IST | 9:30 PM SGT