Rob Mannix is the investing desk editor. Based in the London office, Rob is interested in developments such as the use of new types of data, the application of machine learning in investment, and research into systematic sources of return in markets.
Rob joined Infopro Digital (then Incisive Media) in 2008, having previously worked at Euromoney Institutional Investor, covering legal and regulatory issues affecting capital markets.
Theory-first firms must modernise their methods or wither, says machine learning expert
After carry, the flight-to-quality factor – the ‘elephant in the room’ – is a key driver, a study says
Have markets changed? “They always do,” says quant fund CIO
Risk Live: New data will “completely transform the landscape” of investing, says SG's Albert Loo
A strategy betting against low conviction shorts beat a benchmark model by 6% in back tests
Hedge funds turn to natural language tools to pry more value out of their analysts’ internal writings
Higher-frequency images set for use in entirely new ways and by more investors than before
Waning power of quant approach could be a reason for trend following’s malaise
Study finds timing dictates different results for convergent and divergent strategies in herd moves
Watching over machine learning algorithms is similar to monitoring human portfolio managers
One measure of investor euphoria is registering its most extreme readings since the 2000 tech crash
Portfolio managers asked to keep ‘trade diaries’ of the thinking that led up to poor investments
Vanilla exposures explain as much as two-thirds of returns, authors say