15
Sep

Man AHL’s chief scientist says machine learned trading suited to the ‘tiny edge’

Machine-learned trading systems developed by the world’s largest listed hedge fund, Man Group, are not going to make big, bold bets on financial markets because they are better suited to spreading risk over lots of smaller ideas.

Anthony Ledford, who is the chief scientist at Man’s AHL alternatives business, says the principle of diversification applies equally sensibly to systemic trading as it does to traditional methods of investing. He is based at Oxford University where his team of scientists are now using machined learned strategies to invest client money, having been almost cool on the idea many years ago. Man Group manages $US76 billion of which AHL oversees $US19 billion.
 
Go to: Full Article at Financial Review
 
Go to:  Next Edge AHL Fund
 
Picture from Financial Review Article – Oxford University is home to AHL’s labs. Sang Tan