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Event Date |
Thu May 10 HKT - Fri May 11 HKT (over 6 years ago)
In your timezone (EST): Thu May 10 12:00am - Fri May 11 12:00am |
Region | APAC |
Beyond the shrinking public markets, unlisted assets may provide diversification as well as a good source of future ideas. That is, if investors have the appetite for illiquidity risk and can extract sufficient alpha after fees. It also begs the question: How do you price illiquidity premia?
The advent of big data, machine learning and artificial intelligence has provided investors with an additional tool in the toolkit. Do we sceptically dismiss this as a mere extension of the quantitative or data-mining process, or is this an information advantage that can be seriously translated into better portfolio performance?