Despite an increasing amount of technology and data-driven information available, hedge fund returns are on the decline, due to the inability to correctly analyse the appropriate information in order to make better decision based on specific data-driven strategies, as such, this conference will identify and isolate information to optimise investment platform, find a potential investment, making intelligent trading decisions and generating real alpha
Given the burgeoning popularity of risk factor-based investment strategies, forward thinking firms from the investment management industry should pour resources into big data to expand its institutional business, including scientific method to approach investing, statistical machine learning techniques as well as limitless scalability of automation and distributed computing that will leap beyond and transcend the static rules-based trading algorithms and all its simplicity as well as drive innovation to optimize investment platform and overall capabilities with the capabilities of churning massive amounts of data to produce hundreds of forecasts and aid pattern recognition in financial data sets to guide investment in thousands of securities, including equities, fixed income, commodities, currencies and liquid derivatives. As such, big-data analysis and research capabilities as well as a massive technology infrastructure helps to identify and isolate both traditional and alternative risk premiums which will simplify risk management systems and combine the factors into liquid alternatives portfolios to meet precise requirements in a marketplace that are limited by the availability of scarce alpha-generating investment opportunities. This conference will highlight those challenges as well as taking a closer look at the importance of correctly analyse the appropriate information to make better decision based on specific data-driven strategies in order to break into the lucrative world of hedge funds.