Author: Cassie

Using machine learning to provide custom investment portfolio analysis Machine Learning allows us to investigate portfolio data and performance without preconceptions, and identify natural sets and breaks hidden in the dataset, to improve the investment process. It bypasses the need to set arbitrary groups or categories that might appear logical but do not suit the…

Using the Inalytics Peer Group, through analysing over 100 million investment decisions we have made several key observations on how portfolio managers behave and generate alpha. From running winners and cutting losers, to staying rational when underperforming and managing bad news, the key to investment success is the ability to make objective and informed decisions.…

Measuring performance Does investment skill exist? If so, how can it be measured? Traditionally, market participants and commentators have hunted for evidence of investment skill in industry wide databases of track records. This flawed approach of relying on track records to separate luck from skill has proved inconclusive and cast further doubt. Determining luck from…